<ul><li>Designed and developed a program aimed at forecasting product demand during different seasons and natural calamities.</li><li>Identified unusual local demands based on historical data from similar situations.</li><li>Implemented methods to identify possible customer churn before it occurred.</li><li>Obtained results and insights to facilitate better demand planning and customer retention strategies.</li></ul>

Sales Forecasting and Churn Prediction Using ML

<ul><li>Designed the project to analyze a large dataset of tweets and classify and detect hate content related to religion, ethnicity, nationality, race, color, ancestry, sex, or any identification factor.</li><li>Developed a pre-processing technique to remove unnecessary data from the tweets, including punctuation and capitalization, tokenizing, removal of stopwords, and stemming.</li><li>Applied various well-suited algorithms to detect and classify hate content in the processed tweets.</li><li>Successfully implemented the project, achieving the goal of analyzing and identifying hate content in the dataset of tweets.</li></ul>

Classifying and detecting Hate Speech using Natural Language (Arizona State University)

<ul><li>Created maps to visualize the location-based COVID-19 confirmed cases.</li><li>Utilized bar charts to display the top N countries affected by the virus.</li><li>Implemented line graphs to visualize the trends of confirmed cases, deaths, and recoveries.</li><li>Incorporated a seven-day moving average to provide a smoothed representation of the data.</li><li>Successfully utilized these visualizations to analyze and present COVID-19 statistics.</li></ul>

Chakradhar Mattapalli

Candidate's About

Work & Experience

AI & DS Technical Specialist

Education

Master of Science in Information Technology

Bachelor of Technology in Computer Science

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