I’m a Computer Science graduate with a strong foundation in Machine Learning, Data Science, Software Development, and UI/UX Design. I’m passionate about building data-driven, user-focused solutions that bridge technology and creativity.

📂 Data Portfolio: namrathameedinti.my.canva.site
📄 Google Scholar: Google Scholar Profile

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

📍 Atlanta, GA | July 2025 – Present

• Engineered end-to-end automated patching solutions for enterprise data platforms using Ansible, Jenkins CI/CD, and New Relic, reducing manual intervention across 500+ servers and shortening patch cycles by 60%.
• Built multi-stage automation pipelines integrating ServiceNow, email alerts, and real-time dashboards, enabling zero-downtime deployments through automated service orchestration and HTML reporting.
• Collaborated with cross-functional DevOps teams to enhance CI/CD reliability, implement automated validation checks, and improve system uptime.

📍 Ithaca, NY | Aug 2023 – May 2025

• Led instruction for CS 1110: Introduction to Computing (Python), mentoring ~512 students in algorithms, data structures, and software engineering best practices.
• Teaching Assistant for STSCI 5065: Big Data Management and Analysis, guiding labs on Hadoop, Hive, and HBase.
• Automated grading workflows using Python (Pandas, NumPy), improving turnaround time by 40%, and collaborated on research in data-driven system design.

📍 Bengaluru, India | Aug 2022 – May 2023

• Developed Quantum CNN models, boosting classification accuracy by 35%.
• Designed deep learning pipelines for advanced image classification using TensorFlow and PyTorch.

📍 Hyderabad, India | Oct 2021 – Dec 2021

• Built Python-based optimization models (K-Means, ARIMA) for FMCG distribution networks, reducing delivery variance by 15%.
• Created predictive ROI models with SQL, Python, and Tableau to guide strategic investment decisions.

📍 Hyderabad, India | July 2021 – Sept 2021

• Designed a real-time data processing system handling 1,000+ records/min with automated alerting mechanisms.
• Developed an interactive dashboard UI, improving user accessibility and satisfaction by 25%.

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

• IISc Internship - Researched and implemented quantum CNN algorithms, focusing on quantum computing applications.
• DRDO Internship - Developed a GUI-based application for tracking, analyzing, and visualizing weapon data using C++ and Qt.
• ITC Internship - Created data-driven solutions for optimizing logistics and supply chain operations at ITC.
• Outlearn Internship - Designed UI/UX elements, graphics, and frontend development using HTML and CSS.

• Quantum Convolutional Neural Network for Object Detection and Classification - investigates the use of Quantum Convolutional Neural Networks (QCNNs) for object detection and classification.
• 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.
• Movie Poster Genre Classification - Classifies movie genres based on movie posters using machine learning techniques.
• Satellite Orbit Prediction using Machine Learning - Predicts satellite orbits using advanced machine learning models.

• DRDO Internship Project - A GUI-based application for tracking, analyzing, and visualizing weapon data, built using C++ and Qt.
• LinkTree Clone - A Streamlit-based personal link-sharing application.
• BMI App - A simple BMI and fat percentage calculator built with Streamlit.
• Outlearn Internship Project - Designed UI/UX elements, graphics, and frontend development using HTML and CSS.

• Data Cleaning - Performs data preprocessing and data analysis on a 'Mass Shootings' and 'Supreme Court Voting' datatsets.

• ITC Internship Project - Developed data-driven solutions for optimizing logistics and supply chain operations at ITC.
• 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.
• Starbucks Global Presence Analysis - Visualizes Starbucks' store locations worldwide.
• Employee Demographics and Compensation Analysis - Assists in HR planning using employee compensation and demographic data.
• British Airways Customer Feedback Analysis - Analyzes customer feedback trends for British Airways from 2016 to 2023.
• Sales and Order Analysis Dashboard - Visualizes sales trends across regions, customer segments, and product categories.
• Best Selling Books Dashboard - Explores top-selling books and genre trends using Streamlit.
• Pizza Sales Report - Identifies revenue trends and peak sales periods for pizza sales data.

• AWS Certified Cloud Practitioner
• Certified SCRUM Master
• Google Data Analytics Specialization
• IBM Data Science
• Financial Markets (Yale)
• Calculus (EdX - Hong Kong University)

• 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

• GitHub: github.com/Namratha2301
• LinkedIn: linkedin.com/in/namrathameedinti