I am a fresh graduate in Computer Systems Engineering. My areas of interest are data analysis, data science, databases and business intelligence.
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Experience
• Designed reports and dashboards using the Healthcare datasets with the help of Microsoft PowerBI
• Created monthly analysis reports showing expected and actual budget for all domains
• Redesigned the actuary dashboards to create a summarized view for inpatient, outpatient, professional services
• Visualized the relationship between agencies and various groups to better analyze the pmpm cost, membership tracking, claims, revenue and gross margin
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Projects
Time-series analysis on S and P dataset January 2019 – April 2019
• Generated visualizations for the stock price with Plotly and Matplotlib Libraries in Python
• Executed Dickey-Fuller test, Implemented ARIMA, Facebook’s Prophet, LSTM and RNN to predict the stock price
Kaggle competition on New York City Taxi Fare Prediction May 2019 – July 2019
• Applied Linear Regression, LGBM, XGBoost, AdaBoost, Neural Networks and Ensemble Model. Predicted taxi fare for test data with an RMSE value of 3.05 and ranked 300 with the help of LGBM algorithm
MapReduce analysis on New York Parking dataset August 2019 – December 2019
• Performed MapReduce analysis using Hadoop Java API, MongoDB, Hive, HBase, Pig and compared the runtime performance
Yelp recommendation system: - May 2018 – August 2018
• Performed sentiment analysis using NLTK
• Developed a predictive model with an accuracy of 95% and built a recommendation engine with deep learning