I am a graduate student at State University of New York at Buffalo, pursuing Masters in Data Science. I am well acquainted with fundamentals as well as subtle aspects of Machine Learning. I am looking for full time opportunities in Machine Learning, Software development to provide efficient and effective solutions to real world problems. Relevant Industrial experience and strong academic background makes me a perfect fit for your team
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Experience
Software Engineer at Micro Focus March 2019 – August 2019
◦ Designed and Developed a new standalone tool (Kylix) which exports keyword lists from different database servers according to policies and improved the response time (from 2-2.5S to ~500milli seconds compared to previous version)
◦ Worked on supervisor, which looks for fraudulent, unauthorized exchange of data from employees, for clients like Morgan Stanley, Bank of America
◦ Incorporated elastic search for importing data and reduced the overall running time significantly
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Projects
1. News Sentiment analysis to predict stock prices
Combined news sentiment score with other features to predict stock prices. Implemented full E2E pipeline from data extraction, data manipulation to prediction, provided higher accuracy on and was able to better explain anomalies comparatively
2. Movie Recommendation Engine
Recommend movies to users based on collaborative filtering(User-User and Item-Item) and cosine similarity
3. Walmart Sales Prediction Competation
Given the previous sales record, future sales for different stores including holidays, must be predicted. And obtained an accuracy of over
~87%.
4. Analysis of Boston Crime data
Analyzed crime data to visually tell a story to the user about the crimes based on day, hour, location etc. and predicted the crime rates