Computer Science Data

Aditi Agrawal

# *****.***********@*****.*** § GitHub ï LinkedIn Portfolio

EDUCATION

Master’s in Computer Science Sept 2024 - March 2026 University of California, Davis, USA CGPA: 3.9/4.0 Bachelor of Technology in Computer Science and Engineering Sept 2020 - June 2024 MIT-WPU, Pune, India CGPA: 9.21/10.0

BS in Data Science and its Application Sept 2021 - Dec 2024 IIT-Madras, Madras, India CGPA: 8.08/10.0 Project CGPA: 9.25/10.0 PROFESSIONAL EXPERIENCE

Research Assistant Speech Neuroengineering and Cybernetics Lab April 2025 – Present

• Collaborated with Meta’s Ethical Neurotechnology program to develop durable and equitable machine learning models for wrist EMG gesture decoding on a demographically diverse dataset.

• Performed data analysis and feature extraction of surface EMG signals to investigate the impact of age, BMI, and physiological conditions on model performance and algorithm fairness. Data Analytics Intern fAIshion Inc., USA June 2025 – July 2025

• Built an AI-powered recommendation system using OpenAI’s CLIP to analyze product images and text, automating data extraction and cleaning from APIs.

• Designed a collaborative filtering (co-occurrence matrix) model using try-on history, and developed dashboards for trend and performance analysis with product and data teams Graduate Teaching Assistant UC-Davis - Graduate School of Management Jan 2025 – June 2025

• Applications Domains : Assisted with exploring high-impact analytics applications across domains such as social network analytics, healthcare analytics, IoT, supply chain analytics, and marketing analytics. Supported students in understanding advanced analytics concepts and real-world applications.

• Technology Management: Facilitated weekly discussion sessions for 150+ students to provide insights into managing firms in high-tech industries. Improved course efficiency by 20% through data analysis of student performance trends. Intern Developer Globeminds Pvt Ltd, Pune, India Jan 2023 – Dec 2023

• Increased operational efficiency by 30% through data analysis and process optimization. Gathered and translated user requirements into technical specifications, resulting in a 25% reduction in development time.

• Collaborated with design and engineering teams to deliver user-centric solutions, improving user retention by 20%. ACADEMIC PROJECTS

Marathi Dialect Detection System

• Processed 500+ audio clips into standardized segment, extracted chroma features/MFCCs, optimized hyperparameter.

• Trained models (SVM, KNN, DT, Gradient Boosting) with F1-scores of 0.95. Business Data Management

• Collected and cleaned business data to optimize inventory and capital investment strategies.

• Analyzed data to identify cost-saving opportunities and operational improvements.

• Delivered recommendations adopted by stakeholders, reducing costs by 20% and improving efficiency by 15%. RESEARCH PAPER/PUBLICATIONS

Food Waste Management with Community Collaboration DOI May 2023

• Developed with MySQL, Apache; Frontend: HTML, JavaScript International Journal of Research and Analytical Reviews (IJRAR). Published research on scalable, community-driven food waste solutions. SKILLS

Programming & Web Development: Python, SQL, FastAPI, JavaScript, HTML, CSS, Flask, SQLite AI/ML : Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib, PyTorch, TensorFlow, LLM Integration Fine-tuning, Prompt Engineering

Business Intelligence & Analytics Tools: Tableau, Power BI, Google Analytics, Metabase, Data Storytelling Product & Business Concepts: User Research, Product Strategy, Roadmapping, User Stories, Competitive Analysis, Product Analytics, Data Visualization, A/B Testing DevOps & Project Tools: Git, Postman, Figma, GitHub, Docker, Kubernetes, Jira, MS Office PROFESSIONAL DEVELOPMENT AND LEADERSHIP

McKinsey Forward Program McKinsey & Company Certificate July 2025 Data Science for Business Harvard Business School Online Certificate July 2025

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