Tech Stack
Experience
-
Research Assistant (Institutional Research), New York Institute of Technology, Sep 2023 – May 2024
- Developed a comprehensive Tableau dashboard integrating 5 years of data from 5 Long Island peer institutions, including NYIT, to visualize degree awards and financial aid trends using excel data from the IPEDS portal.
- Engineered an API using Python and Dash to forecast graduation rates for 2025-2027; developed capabilities for preprocessing user-uploaded Excel/CSV files, including handling missing values, label encoding, and variable selection.
- Technologies: MS PowerBI, Tableau, Python, Jupyter Notebook, Dash, Javascript, MS Excel
-
Research Assistant (Biotech Research), New York Institute of Technology, Aug 2023 – Sep 2023
- Collaborated with 5 biotech researchers to automate RNA ladder sequence generation and prediction by developing a Dash based web application in Python and JavaScript, enhancing manual analysis of tRNA samples.
- Enhanced visualization and prediction capabilities, allowing researchers to interact with plots and download new sequences; utilized Biopython, sklearn, numpy, matplotlib, and Plotly for data analysis and visualization.
- Technologies: Python, Dash, Javascript, Jupyter notebook, Data Analysis, Plotly, sklearn, numpy, matlplotlib
-
Software Engineer, Inteliment Technologies, Sep 2020 – April 2022
- Streamlined deployment of horizontally-scalable services by containerizing them using AWS, docker, python and automating deployment with Jenkins pipelines, achieving a 70% reduction in deployment time.
- Reengineered Python code to reduce execution time by 50% using SQLAlchemy, Python, and Databricks notebook for ETL on AWS cloud, optimizing the profitability matrix generation for the client’s product performance.
- Engineered a data pipeline using AWS Glue for ETL processes with PySpark and connected with MySQL DB, integrating data from Google Ads, Facebook Ads, and Twitter Ads for over 100+ customers.
- Technoglogies: Python, R, C++, Javascript, AWS, Azure, GCP, Linux, Ubuntu, Snowflake, Databricks, Docker, Kubernetes, Google Ads Manager, FB Ads API, Twitter API
Projects
MTA-New-York-City-Dashboard
Retrieved data from 3 MTA NYC Transit's API endpoints for subway feeds, Elevator and Escalator Feeds using Python. Designed a Tableau dashboard to visualize MTA's data.
View on TableauCredit-Card-Fraud-Analysis-Prediction
Developed machine learning models in R using caret, xgboost, randomForest, and dplyr to predict fraudulent credit card transactions
View on GitHubEducation
- New York Institute of Technology, MS in Data Science, Jan 2023 - May 2024
- MIT World Peace University, Master's in Big Data Analytics, Sep 2018 - April 2020
- University of Pune, Bachelor's in Computer Science, July 2015 - April 2018
Awards & Certifications
