“In our time working together at ZipRecruiter I got to see Tushar grow from a new engineer in and unfamiliar environment to a subject matter expert setting the direction for his systems. Once he finds his niche he’s able to understand those systems and what needs to be done to improve them going forward. In our time working together he took our ML pipeline from an old fragile app no one wanted to deal with to a smaller easier to understand application that could be modernized. Once the application was simplified he brought in new libraries and tools to bring this application in line with what other ML applications were doing at ZipRecruiter. Throughout the process he did a great job communicating the state of the projects to the technical and product management teams. He also worked closely with the business analyst team on feature engineering and helping them test hypotheses about model changes.”
About
https://github.com/tusharpandit18https://public.tableau.com/profile/tushar.pandit#!/b…
Activity
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Our goal has always been clear: Simplify hiring and help people build great teams. Today, we're doubling down on that goal — teaming up with…
Our goal has always been clear: Simplify hiring and help people build great teams. Today, we're doubling down on that goal — teaming up with…
Liked by Tushar Pandit
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All three ADP + ZipRecruiter Partnership Managers in one place! It’s been a great Zip #collabweek! We’ve come together advancing the best possible…
All three ADP + ZipRecruiter Partnership Managers in one place! It’s been a great Zip #collabweek! We’ve come together advancing the best possible…
Liked by Tushar Pandit
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📣We’re teaming up with Paradox to help simplify hiring! #Recruiting teams using Paradox’s Conversational ATS can now integrate with ZipRecruiter to…
📣We’re teaming up with Paradox to help simplify hiring! #Recruiting teams using Paradox’s Conversational ATS can now integrate with ZipRecruiter to…
Liked by Tushar Pandit
Experience
Education
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Ira A. Fulton Schools of Engineering at Arizona State University
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Activities and Societies: Graduate Program Student Association
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Activities and Societies: Volunteered in College Tech Fest, Attended Android Workshop, Blood Donation Drives, Presented Seminar on working of CD-ROM drive, TechSpark, CESA(Computer Engineering Student Association), MPulse
- Graduated in Computer Engineering from the University of Pune.
- The courses I studied during my under graduation proved to be very effective and beneficial in my professional life.
- Attending workshops, presenting seminars, participating in social drives, organizing events, etc were some other activities I was indulged in apart from the academics.
- Presented a seminar on Intrusion Detection System
- Presented a seminar on working of a CD-ROM drive
- Advertising and…- Graduated in Computer Engineering from the University of Pune.
- The courses I studied during my under graduation proved to be very effective and beneficial in my professional life.
- Attending workshops, presenting seminars, participating in social drives, organizing events, etc were some other activities I was indulged in apart from the academics.
- Presented a seminar on Intrusion Detection System
- Presented a seminar on working of a CD-ROM drive
- Advertising and marketing for college technical festival.
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Activities and Societies: Information Technology Association
- My inclination towards science, technology, and mathematics during school days helped me decide my major during high school.
- I gained my high-school education (Higher Secondary Certificate) from Amrita Junior College.
-The courses like Physics, Chemistry, Mathematics and Information Technology compelled me to contemplate the mechanism behind the different concepts and technologies.
- Information Technology course introduced me to basic front-end coding like HTML and CSS…- My inclination towards science, technology, and mathematics during school days helped me decide my major during high school.
- I gained my high-school education (Higher Secondary Certificate) from Amrita Junior College.
-The courses like Physics, Chemistry, Mathematics and Information Technology compelled me to contemplate the mechanism behind the different concepts and technologies.
- Information Technology course introduced me to basic front-end coding like HTML and CSS. Subsequently, my inclination towards Computers and Programming steepened. -
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Activities and Societies: UNICEF, HelpAge India
- I have done my schooling up to 10th grade from Tata Motors Vidya Niketan School.
- This school is one of the renowned schools in Pune and imbibed skills such as Communication, Elocution in me, prepared me for debates along with encouraging me to participate in sports and various social and annual school events.
Volunteer Experience
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Volunteer
PES Modern College of Engineering
- Present 14 years
Education
I was a participant in SAE India’s Collegiate Chapter Project Exhibition named “TECHSPARK” .In a group of three, we presented the internal structure and working of a CD-ROM Drive which displayed a good team spirit and boosted my confidence level for presentations.
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Volunteer
PES Modern College of Engineering
- Present 11 years
Education
I have volunteered for college tech fest in Counter strike LAN gaming. I had to ensure co-ordination between participants from different colleges.
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Fund raiser
HelpAge India
Social Services
I was an active participant to raise funds for the underprivileged during my school days. It included working at different households and collecting some funds for donating to the charity.
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Fund Raiser
UNICEF
Social Services
I was an active participant in raising funds for underprivileged women and children in developing countries.
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Workshop
Symbiosis Institute of Health Sciences (SIHS ) Pune
- Present 9 years 11 months
Disaster and Humanitarian Relief
Certified by the International Training Center of American Heart Association in First Aid with CPR and AED. Learned to provide First Aid in an emergency situation like sudden heart attack, breathing problems, etc.
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Blood Donor
Deenanath Mangeshkar Hospital
- Present 9 years 9 months
Disaster and Humanitarian Relief
The blood donation drives conducted by Deenanath Mangeshkar Hospital & Research Center helped me serve humanity.
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Volunteer
Persistent Systems
- Present 9 years 5 months
Environment
Actively participated Tree plantation drive organized by Persistent Systems Ltd. Planted approximately 150 trees in a day. It was a great learning experience. Contributing back to nature felt good.
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Volunteer
Tutor
- 6 months
Education
Voluntarily tutored a batch of 50 students in object oriented programming.
Courses
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AJAX
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ASP.Net C#
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ASP.Net C# - Internship
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ASP.Net MVC
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Advanced Data Structures and Algoithms
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Advanced Databases
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Agile Process- SCRUM
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Angular JS
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Assembly Language Programming - MASM/TASM
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Assembly Language Programming - PLP
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Bootstrap
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Communication Enhancement Program (CEP)
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Computer Netwoks
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Computer Organization
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Data Science and Machine Learning with python
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Data Structures and Algorithms
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Database Management System
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Design and Analysis of Algorithms
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Discrete Structures
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Distributed Database Systems
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HTML5
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Information Security
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JQuery
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JavaScript
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Knockout JS
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MS SQL
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Machine Learning with Python
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Microprocessor Architecture and programming
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Microsoft Dynamics AX
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Mobile Computing
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My SQL - Internship
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Object Oriented Modelling and Design
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Oracle
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Principles of Programming Languages
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Software Architecture
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Software Engineering
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Software Enterprise- Inception and Elaboration
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Software Enterprise- Process and Project Management
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System Programming and Operating Systems
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Theory of Computation
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Projects
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Implementing integration with Amazon Appflow to sync salesforce data to datalake
- Present
- Working on designing and implementing data pipeline using Amazon Appflow to sync data from salesforce to datalake singlehandedly
- Working on creating the appflow resources dynamically using terraform; constantly in touch with the aws-terraform maintainers for bug fixes; contributed to a few issues to expedite the fbug fixing effort
- Working on creating a spark application for creating delta tables which runs periodically using Apache Airflow
- Working on creating another spark job…- Working on designing and implementing data pipeline using Amazon Appflow to sync data from salesforce to datalake singlehandedly
- Working on creating the appflow resources dynamically using terraform; constantly in touch with the aws-terraform maintainers for bug fixes; contributed to a few issues to expedite the fbug fixing effort
- Working on creating a spark application for creating delta tables which runs periodically using Apache Airflow
- Working on creating another spark job to validate the data sync
Technologies used: Amazon Appflow, Databricks Delta tables, AWS S3, AWS Glue, AWS Athena. Apache AIrflow, Apache Spark, Scala, Hashicorp Terraform -
SMB Employer Monetization - Data Lake migration for smb datasets
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- Worked on data migration to move smb datasets from redshift to data lake
- Worked on designing and implementing a backfill app to backfill historical data
- Tools used: Apache spark, kubernetes, prometheus, grafana, scala, airflow -
SMB Employer Monetization - Onboarding existing ML models to newer ML infra
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- Worked on onboarding sales ML models to newer infrastructure at ZipRecruiter
- Successfully used Weights & Biasis (known as wandb) to store model artifacts
- Deployment of these models to k8 namespaces using an internal service called runway (to track model lifecycle)
- Helped the Data Scientists by onboarding to models to jupyterHub for easy training and experimentation
- Tools used: wandb, runway, flyte, kubernetes, python, airflow -
Business Web Services
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- Worked as a software development engineer for the Business Web Services team in Amazon Business • Worked on exposing amazon business reconciliation APIs to external clients and customers
- Worked on Internationalization of our services to launch it in new regions/ marketplaces
- Worked on implementing Integration Test and Canary Test frameworks
- Technologies: AWS, Cloudwatch, Api Gateway, IAM, DynamoDB, S3, Cloud Formation, CDK, Lambda, VPC, Java, REST, Guice -
Visa Artificial Intelligence Platform (AIP)
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- Working on the Visa AI Platform Team
- Building an AI Platform to be leveraged by the various Data Science Teams within Visa
- Working on Feature Toolkit wherein data engineered the streaming and batch data which is inserted in a dataset called DRUID
- Worked on creating a Microservice in Scala which queries DRUID, computes aggregates which are further pushed to KAFKA and consumed by a receiving system
- Worked on modifying Ansible scripts to make HashiCorp Consul available in…- Working on the Visa AI Platform Team
- Building an AI Platform to be leveraged by the various Data Science Teams within Visa
- Working on Feature Toolkit wherein data engineered the streaming and batch data which is inserted in a dataset called DRUID
- Worked on creating a Microservice in Scala which queries DRUID, computes aggregates which are further pushed to KAFKA and consumed by a receiving system
- Worked on modifying Ansible scripts to make HashiCorp Consul available in different data centers for Disaster Recovery
- Successfully implemented test automation using Robot Framework.
- Technologies used: Spring Boot, SCALA, ProtoBuffs, GRPC, YAML, HashiCorp Consul, Hadoop, KAFKA, DRUID, Avro, Microservices, Robot Framework, Ansible -
Visa Risk Manager Long Term Architecture
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- Workied as a full-stack software engineer with concentration in backend in the Fraud and Auth domain
- The product is used by the issuing banks to define rules and detect fraud on any transaction
- Worked on implementing data loader in order to support jobs in the legacy system
- Technologies used: Spring MVC, Angular 5, Linux, REST APIs, Bitbucket, Agile SCRUM, JIRA
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Built an audio gunshot detector using "Librosa", an audio feature extraction machine learning library
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- Successfully built an audio detector which takes a fragment of audio as input and determines whether that fragment contains the sound of gunshot or not.
- Input was a set of audio files which was used for training
- Extracted audio features (crossing rate and spectral centroid) using Librosa
- Associated each feature vector with a class label
- Trained the model using SVM with RBF kernel, K-Nearest Neighbors, Gaussian Naive Bayes and Neural Nets
- Performed 10-fold…- Successfully built an audio detector which takes a fragment of audio as input and determines whether that fragment contains the sound of gunshot or not.
- Input was a set of audio files which was used for training
- Extracted audio features (crossing rate and spectral centroid) using Librosa
- Associated each feature vector with a class label
- Trained the model using SVM with RBF kernel, K-Nearest Neighbors, Gaussian Naive Bayes and Neural Nets
- Performed 10-fold cross-validation to compute the accuracy and made predictions on the unseen data
- Computed performance metrics like accuracy, precision, recall, f1-score. Neural Nets performed better.
- Tools used - iPython Notebook, python 2.7, Librosa, scikit-learn, pandas, numpy -
‘Danceability’ Prediction on Spotify’s Machine Learning Repository
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- Researching the data using Spotify’s APIs which would help in predicting danceability of a song
- Performed data pre-processing (data imputation, normalization, standardization) and Exploratory Data Analysis (EDA) by plotting Scatter Plot and HeatMap. Implemented Feature scaling and Feature selection
- Successfully implemented Logistic Regression, Gaussian Naïve Bayes, Support Vector Machines with Linear, RBF and Polynomial Kernels, Neural Networks, K-nearest neighbor algorithms with…- Researching the data using Spotify’s APIs which would help in predicting danceability of a song
- Performed data pre-processing (data imputation, normalization, standardization) and Exploratory Data Analysis (EDA) by plotting Scatter Plot and HeatMap. Implemented Feature scaling and Feature selection
- Successfully implemented Logistic Regression, Gaussian Naïve Bayes, Support Vector Machines with Linear, RBF and Polynomial Kernels, Neural Networks, K-nearest neighbor algorithms with and without Principle Component Analysis (PCA)
- Computed accuracy, precision, recall and f-score by plotting the classification report to decide the optimum algorithm
- Libraries used: sklearn, seaborn, pandas, numpy, matplotlib, etc.
Other creators -
Data Mining of Bank Churn Database using Tableau
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- The project was to estimate the variables which impact the bank churn
- Connecting Tableau to an excel file
- Visualizing an Ad-Hoc A-B Test
- Creating Aliases and adding a reference line
- Finding anomalies using Ad-Hoc A-B tests and validating the data/approach
- Creating and using Bins to convert numerical data(measures) to categorical data(dimensions)
- Visualizing distributions and creating A-B tests for numeric vars
- Combining two charts in Tableau, comparing and…- The project was to estimate the variables which impact the bank churn
- Connecting Tableau to an excel file
- Visualizing an Ad-Hoc A-B Test
- Creating Aliases and adding a reference line
- Finding anomalies using Ad-Hoc A-B tests and validating the data/approach
- Creating and using Bins to convert numerical data(measures) to categorical data(dimensions)
- Visualizing distributions and creating A-B tests for numeric vars
- Combining two charts in Tableau, comparing and drawing conclusions
- Validate the estimates by running Chi-Squared Tests -
Implemented K-Nearest algorithm and K-fold cross validation on a sample dataset from scratch using MATLAB
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- Read the dataset in MATLAB and performed random shuffling of data
- Performed data pre-processing and spilt the data into training and testing set
- Performed 5-fold cross-validation and implemented KNN (k values ranging from 1 to 17) algorithm by computing distance matrix
- Finally, computed average accuracy for every nn on the on all 5-folds
- Plotted a graph of k (from knn) versus accuracy to find the best k.
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Classification model to estimate the cancer probability
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The purpose of the project was to determine the probability of a person having malignant or benign cancer. The dataset used was "https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)"
The project included following steps:
- Reading the dataset into panda's data-frame
- Separate the target and the independent variables
- Transform the class labels to integer values
- Divide the dataset into training and test values
- Create a pipeline to perform chain of…The purpose of the project was to determine the probability of a person having malignant or benign cancer. The dataset used was "https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)"
The project included following steps:
- Reading the dataset into panda's data-frame
- Separate the target and the independent variables
- Transform the class labels to integer values
- Divide the dataset into training and test values
- Create a pipeline to perform chain of operations like standardizing the data, dimensionality reduction using PCA, and then applying logistic regression algorithm
- Calculating the accuracy and f-score, printing the confusion matrix
- Applying grid search approach and tracking the performance
- Implemented the algorithm using pandas and scikit-learn
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Geospatial Distributed Computing using HDFS and Apache Spark
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- Performed geospatial database operations on large datasets stored in distributed systems using Hadoop, Apache Spark, Scala, GeoSpark library in Linux
- Performed cluster analysis (efficiency, memory usage and CPU usage for each node) using Ganglia
- Successfully implemented an algorithm for Spatial-Temporal hotspot analysis that included determining the top 50 hotspots for taxi pickups in New York city in January 2015 using Getis- Ord statistics
Other creators -
Regression model to determine house prices
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A database was provided which consisted of housing data. The objective of the project was to determine the house prices for new data and also understand regression. The dataset used was 'https://archive.ics.uci.edu/ml/machine-learning-databases/housing/housing.data'. It involved the following steps:
- Reading data into panda's data-frame
- Visualizing it's characteristics using Exploratory Data Analysis(EDA)
- Creating a correlation matrix and plotting a heat-map
- Separating the…A database was provided which consisted of housing data. The objective of the project was to determine the house prices for new data and also understand regression. The dataset used was 'https://archive.ics.uci.edu/ml/machine-learning-databases/housing/housing.data'. It involved the following steps:
- Reading data into panda's data-frame
- Visualizing it's characteristics using Exploratory Data Analysis(EDA)
- Creating a correlation matrix and plotting a heat-map
- Separating the dependent and the independent variables
- Scaling the values using Standard Scalar
- Building the linear regression model and calculating the performance metrics like R2-score and MSE.
- Applying multiple regression, ridge regression, lasso regression and random forest regression and tracking the performance of each model.
- Implemented the algorithm using pandas and scikit-learn -
Health Medication System
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• Developed an independent system to track personal medicinal needs.
• Followed Personal Software Process (PSP0) for software development
• Documented PSP documents such as Defect Log, Project Plan Summary, PSP Retrospective, Time Log and also other documents like Concept Proposal Document, Design Document, Design Manual, Software Requirement Specification
• The project was developed using JAVA Swing and ANT tool was used to create an executable JAR
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Testmate
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• Worked on Persistent Systems’ in-house project which was an independent test tool to be used for recruitment.
• Included registration of new candidates (personal, education, family information). Worked on the UI independently along with writing APIs and Stored Procedures. Successfully provided live support for the project with very limited guidance.
• Based on a test-pin which was generated using Microsoft’s ERP tool Axapta.
Other creators -
Onboarding
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• Worked on a client project which was in Asp.NET MVC which was to gamify Persistent Systems’ recruitment process.
• Building missions and corresponding tasks in missions; awarding the users virtually through points and badges on successful completion of those tasks and missions. It had two portals namely admin and user. Successfully handled the user side independently.
• Skills: ASP.NET MVC, Web API, HTML, CSS, AJAX, JQuery, Bootstrap
Other creators -
Zyvo
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• Worked briefly on a client project in ASP.Net Entity Framework which was based on taking personality surveys.
• My task was to upgrade the UI as per the requirements, resolve bugs and get the code reviewed before checking it in the Source Control.
• Skills: ASP.NET Entity Framework (Code-First approach), HTML, CSS, MS SQL
Other creators -
Document Generation System
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• Automation of company’s document generation system for their employees.
• Successfully deployed the project and is used by about 100 employees per month in the company today.
• Generation of PDF in ASP.Net which is used for generating approximately 100 pdf documents every month.
• Accessing the company’s Active Directory to retrieve employee database using Lightweight Directory Access protocol(LDAP).
• Skills used: ASP.NET C#, HTML, CSS.
Other creators -
Bill Generation System
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• A desktop application used for computation of bill in electronic store and maintained records of the customers, the employees in the etc.
• Object oriented programming concepts like inheritance, abstraction, polymorphism, etc. were implemented efficiently.
Skills: JAVA, MS Access. -
Health Medication System
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• A desktop application which provided instant medicine lists for a particular disease and also identify the disease based on symptoms.
• An individual project in which concepts of classes, inheritance, file handling, polymorphism, etc. were successfully implemented.
• Skills: C++
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Pizza Delivery System
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• A desktop application that maintained details of employees, stocks, customers as well as generated receipts for them.
• The concepts of normalization, querying, connectivity to databases were implemented in this project. Handled the UI and the connectivity to the database along with the documentation independently.
• Skills: Visual Basic, Oracle.
Other creators
Test Scores
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TOEFL
Score: 103
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Graduate Record Examination (GRE)
Score: 309
Languages
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English
Full professional proficiency
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Marathi
Full professional proficiency
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Hindi
Full professional proficiency
Recommendations received
8 people have recommended Tushar
Join now to viewMore activity by Tushar
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⚡ HIRING FULLY REMOTE - Senior Technical Recruiter role! Preference for Phoenix or LA based. ⚡ https://lnkd.in/d4DAvcif #hiring #techrecruiting…
⚡ HIRING FULLY REMOTE - Senior Technical Recruiter role! Preference for Phoenix or LA based. ⚡ https://lnkd.in/d4DAvcif #hiring #techrecruiting…
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Very proud of the team's achievement: https://lnkd.in/g-hfZSw2
Very proud of the team's achievement: https://lnkd.in/g-hfZSw2
Liked by Tushar Pandit
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We're hiring! Join our Tech Recruiting Team! We're fully remote but hoping to find someone in the greater Los Angeles OR Phoenix metro area (where…
We're hiring! Join our Tech Recruiting Team! We're fully remote but hoping to find someone in the greater Los Angeles OR Phoenix metro area (where…
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🔥🔥 immediate LA-based role for an Executive Assistant Partner. More details below. https://lnkd.in/dN8Y_nhy Visit: workatzip.com for more!!!
🔥🔥 immediate LA-based role for an Executive Assistant Partner. More details below. https://lnkd.in/dN8Y_nhy Visit: workatzip.com for more!!!
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Strategic Planning | Strategic Finance (FP&A) | Corporate Strategy | Business Controller | Software (SaaS), AI and Semiconductor Industries | Harvard Business School Alumnus | Cornell University Alumnus |
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