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Work Experience
Research Assistant
New Jersey Institute of Technology (NJIT)• November 2019 - Present
• Developed a Fake News Detection Web Application using python flask to analyze and compare different models. • Deployed the web application in a public server for real-time implementation and use. • Collected various smaller datasets which are publicly available and combined into larger dataset for analysis and efficiency. • Performed Exploratory Data Analysis to identify key drivers and Data Cleaning/ Data Preprocessing of raw input. • Built six machine learning models including SVM and MLP for comparative study and finding the best performing model. • The SVM model with TFIDF and 80_20 training split performed better than the others with 95% accuracy but consumed lot of training time which was handled by using pickling. • Improved the accuracy to 97% using google BERT model. In the process of integrating BERT model to the web application. • Explored Cloud services like AWS, GCP, Docker Containers and Apache for deploying the web application.
Data Science intern
Nest Global Solutions• September 2020 - Present
• Performing sentiment analysis and analytics based on cancer forums and clinical research analysis. • Designing machine learning models to match care givers and cancer patients to each other from the forum data.
Data Analyst
Larsen and Toubro Infotech (LTI)• October 2016 - December 2018
• Designed business reports for clients on a timely basis without missing SLA. • Analyzed various forms of data and performed data Preprocessing for large datasets. • Visualized and created dashboards according to client requirements. • Performed ETL tasks using SQL Server Integrated Services and generated reports using SSRS and QlikView. • Implemented single click automation of legacy dashboards. Saved approximately 90hrs of manual process annually with 98% accuracy, which was recorded in Kanban combined with Scrum. • Enhanced business products and optimized SQL queries. Migrated Database engines. • Identified and fixed production issues in the reports generated from the database. • Worked with various database engines including MS SQL Server DB, MS access DB and Oracle DB to generate reports. • Attended every day scrum meetings with the scrum master to follow-up on the ongoing work and resolve rising issues.
Education
New Jersey Institute of Technology
Data Science, MS• January 2019 - Present
Coursework – Bigdata, Data Analytics with R, Applied Statistics, Machine Learning, Deep Learning, Data Mining
Anna University
Electronics and communication Engineering , BE• July 2012 - April 2016