Data Science Machine Learning

VENKATA SIVA RAJESH VITHANALA

Hyattsville, MD — +1-240-***-**** — # ********@********.***.*** — ï Venkata Siva Rajesh Vithanala Education

University of Maryland, College Park

Master of Science in Data Science, GPA: 3.9/4 Aug 2024–Expected May 2026 College Park, Maryland, USA

Relevant Coursework: Machine Learning, Data Science, Probability Statistics Vasavi College Of Engineering, Hyderabad

Bachelor of Engineering in Electrical And Electronic Engineering, GPA: 8.52/10 Aug 2019–May 2023 Hyderabad, Telangana, India

Relevant Coursework: C, Java, Python, SQL, Algebra, Calculus, Project Management,, Electrical Engineering Technical Skills

Languages: Python, Java, C sharp, C

Tools: Tableau, MS Excel,Hadoop, Spark

Databases: SQL, MySQL

cloud: AWS

Frameworks: Pytorch,Tensorflow

Libraries: Numpy, Pandas, Matplotlib, Seaborn, SKLearn Technologies: Machine Learning, Git, MATLAB

Experience

Amazon India June 2024–July 2024

Investigation Specialist Bangalore, Telangana, India

• Cleaned, structured, and analyzed data to deliver customized business solutions.

• Investigating and finding the level of abuse considering sop’s.

• Identifiying strongly related accounts.

PalTech Company Pvt Ltd Apr 2023–Apr 2024

Data Engineer Hyderabad, Telangana, India

• Designed a DataBase for Human Resource Management Application—SSMS.

• Worked on writing complex Stored Procedures for various applications.

• Created test cases, validated user stories, and reported defects. Projects

Vehicles Sales Trend And Pricing Prediction Data Science, Machine Learning University Of Maryland Aug 2024

• Trained and optimized regression models, including XGBoost, Random Forest, and ensemble techniques, achieving an R score of 0.9510.

• Preprocessed and cleaned large datasets using Python, ensuring high-quality input for machine learning analysis.

• Conducted statistical analyses (e.g., t-tests, chi-square) to validate trends and support data-driven conclusions.

• Created visualizations using Matplotlib and Seaborn to present insights like sales trends and feature importance.

• Utilized tools like Pandas, NumPy, and scikit-learn for data manipulation, modeling, and evaluation. Analysis of SP 500 Companies

• Downloaded and organized a comprehensive dataset comprising information on over 8,500 funds and stocks, each stored in individual files.

• Developed and implemented scripts to efficiently clean and preprocess the extensive dataset, ensuring its suitability for subsequent analysis.

• Conducted thorough EDA to uncover patterns, trends, and anomalies within the financial data, providing valuable insights.

• Created informative visualizations to effectively communicate findings from the data analysis, enhancing the interpretabil- ity of complex financial information.

Position Of Responsibility

• Convener for Techsonance 2023: A National Level Technical Symposium

• Member of Xplore OUCE, the Official Broadcasting Channel of our College

• Treasurer of Selfless Service Squad: An NGO

• Member for IEEE Student Branch

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