Projects

Data Analyst - Movie Reviews Classification

October 2020 - December 2020 | Seattle, United States

• Developed and deployed RESTful APIs using AWS API Gateway to classify movie reviews as fresh or rotten
• Implemented an XGBoost Classifier using AWS SageMaker on a web-scraped dataset uploaded to an AWS S3 bucket
• Scaled the product to 100,000+ predictions per minute through AWS Lambda
  

Data Scientist - Twitter Feed Sentiment Analysis and Prediction

September 2020 - November 2020 | Smith School, United States

• Built a three layered fully feed forward neural network to predict the sentiments of data extracted in real-time
• Tuned the model hyperparameters using K-Fold Cross Validation, and used TF-IDF to attain 85.08% accuracy

Data Analyst - High Return Recommendation for Airbnb Investments

February 2020 - May 2020 | Smith School, United States

• Analyzed data and created PowerBI dashboards to recommend property-based investment decisions
• Performed a comparative study of ElasticNet Regression, Decision Trees and Random Forest with a 94.7% winning accuracy
• Bagged the 2nd runner-up position for the best machine learning model in the Datathon at the University of Maryland
  

Database Engineer - Optimus Solutions

September 2019 - December 2019 | Smith School, United States

• Built a snowflake schema using dimensional modeling & designed SSIS packages for performing ETL on 200,000
• Constructed curated views & built compelling visualizations on Tableau to deliver business strategy insights for all audiences
  

Software Developer - Smart Light Switching System

August 2018 - May 2019 | Mumbai, India

• Developed an application that provides real-time “Smart Lighting Solution” for public places with an accuracy of 89%
• Implemented the non-rigid registration algorithm for motion tracking and the Haar-cascade classifier for face detection
• Secured 1st runner-up position at Prakalpa, an annual state-level technical symposium held at the University of Mumbai