Shravan Kumar Reddy Nimma

Data Science Master's student familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in Machine Learning & Data Engineering.

• Object Detection and Tracking using Drone : An Object Tracking System that tracks the motion of an object in real time. Based on the object framed the tracker records its motion over time. Equipped drone with this feature allowing it to track any dynamic object.
• Market Basket Analysis : Analyzed aggregated data from Kaggle (Instacart) to find out interesting Association rules. It is an unsupervised data mining technique used to better understand purchasing patterns and was intended to increase the sales. This led to a development of recommendation system, which contributed to 20% of the sales.
• Stock Price Prediction and Forecasting : Affirmed pricing predictions on high frequency stock exchanges based on Amazon (AMZN) data from Tiingo using an Advanced Information System, Data Science methods, Forecasted the next 30 days trend with 80% accuracy.
• Social Media Sentiment Analysis : Programmed a python script that extracts tweets and comments from twitter. Processed NLP based tokenization, lemmatization, vectorization and designed naïve bayes algorithm to determine sentiment polarity.
• Named Entity Recognizer : Developed a Recognizer which identifies and classifies named entities in a text using information extraction techniques. Named entities are real-world objects such as persons, organizations, products, and locations. Applications of this recognizer include news content classification, efficient search algorithms, content recommendations and customer support.