I'm a passionate Computer Science student with a strong focus on Data Science, Machine Learning, Software Development and UI/UX Design. My goal is to create impactful projects that blend technology and creativity.

My data portfolio: https://namrathameedinti.my.canva.site

• Programming Languages: Python, SQL, C, C++, R
• Web & Mobile Development: HTML, CSS3, JavaScript, React, Node.js, Dart, Flutter
• Data Science & Machine Learning: PyTorch, TensorFlow, Pandas, NumPy, Scikit-Learn, Matplotlib, Flask
• Tools: Tableau, Power BI, Looker, AWS, Azure, Docker
• Design & Prototyping: Figma, Adobe Illustrator
• Cloud & DevOps: AWS, Azure, Docker

Master's in Computer Science
Cornell University | 2023 - 2025

Bachelor's in Computer Science with a Minor in Business
Vellore Institute of Technology | 2019 - 2023

• Car Price Analysis and Prediction
  Analyzes vehicle prices based on attributes like engine capacity, power, mileage, and seating.

• Stack Overflow Developer Survey Analysis
  Unveils trends in developer demographics, job satisfaction, and salary using Stack Overflow’s 2017 Developer Survey data.

• Starbucks Global Presence Analysis
  Visualizes Starbucks' store locations worldwide, analyzing key insights into market presence and ownership types.

• Employee Demographics and Compensation Analysis
  Assists in HR planning and policy development using employee compensation and demographic data.

• Cognitive Emotion Identification
  Identifies emotions from EEG activity using machine learning models.

• Music Genre Classification Using Federated Learning
  Enables decentralized training on audio data while preserving user privacy and improving classification accuracy.

• Movie Poster Genre Classification
  Classifies movie genres based on movie posters using machine learning techniques.

• British Airways Customer Feedback Analysis
  Analyzes customer feedback from British Airways from 2016 to 2023.

• Sales and Order Analysis Dashboard
  Visualizes sales trends across regions, customer segments, and product categories using Looker Studio.

• Best Selling Books Dashboard
  Visualizes sales trends, top-selling books, and genre distributions, built with Streamlit.

• Pizza Sales Report
  Identifies revenue trends, peak sales periods, and product performance for pizza sales data.

• Did significant coding in R for a semester at Cornell. (Could not include the code)
• [Data Cleaning}(https://github.com/Namratha2301/r_programs)
  Performs data cleaning tasks on a car price prediction dataset.

• LinkTree Clone
  A Streamlit app to store and share personal links, similar to Linktr.ee.

• BMI App
  A simple BMI and fat percentage app built with Streamlit.

• Outlearn Internship Project
  Designed UI/UX elements, including prototypes, graphics, and visual assets, and contributed to frontend development using HTML and CSS.

• Drdo Internship Project
  A GUI-based application for tracking, analyzing, and visualizing weapon data, built using C++ and Qt.

• AWS Certified Cloud Practitioner
• Certified SCRUM Master
• Google Data Analytics Specialization
• IBM Data Science
• Financial Markets

• The Harvard Project for Asian and International Relations | Delegate
• Toastmasters International, VIT | VP-PR & Chief Newsletter Designer
• IEEE - Women in Engineering, VIT | Management Committee Member
• H.O.P.E Foundation, Student-run NGO