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Sree Vardhan Reddy
Ex-Intern @University of Massachusetts|| Deep Learning || Knight@LeetCode || ⭐ 3 @codeChef (1774)
About
Sree Vardhan Reddy Mothe is a highly skilled and experienced Data Scientist and Developer with a passion for converting business requirements into predictive and actionable machine learning models. Currently pursuing a Master's degree in Data Science and Analytics at Georgia State University, Atlanta, Sree is also working as a Data Analyst Intern at Matilda Cloud. With over 4 years of experience in the field, Sree has a strong command over Python, MySQL, and Pyspark. He has worked as a Python Developer at CNET Global Solutions, Inc. and as a Graduate Research Assistant at Georgia State University's J. Mack Robinson College of Business. In his role as a Graduate Research Assistant, Sree has collected and analyzed data from multiple sources, including Reddit r/wallstreetbets and Factiva's database. He has also implemented various text analytics methods such as tokenization, stemming, and TF-IDF vectorization to generate word embedding vectors and perform sentiment analysis using SVM and Vader. Sree has a deep understanding of machine learning algorithms such as Logistic Regression, XGBoost, and Random Forest. He has used these algorithms to identify insights that speed up risk mitigation and streamline analysis to reduce turnaround time. Sree is also proficient in data visualization tools such as Seaborn and Plotly, which he has used to create interactive plots and perform data pre-processing using NumPy and Pandas. Sree's educational background includes a Bachelor's degree in Electrical Engineering with a Minor in Mathematics from Shiv Nadar University and a High School degree from Dr. KKR Gowtham International School. He is currently pursuing a Master's degree in Data Science and Analytics from Georgia State University's J. Mack Robinson College of Business. Sree's tech stack includes Data Science, Research Science, ML, Python, MySQL, Pandas, Sentiment Analysis, SVM, XGBoost, Random Forest, Seaborn, Tokenization, Stemming, and Stop Words. With almost 5 years of relevant experience, Sree is an expert in his field and is committed to delivering high-quality results for his clients and organizations.
Education Overview
• iiit kottayam indian institute of information technology kottayam
Companies Overview
• university of massachusetts amherst
• nit trichy
Experience Overview
-1 Years
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