Python, C/C++, SQL, Artificial intelligence, Machine learning intern

Khushi Mahajan

+1-279-***-**** *************@****.*** linkedin.com/in/khushi github.com/khushi

Master’s student in Computer Science with strong foundation in AI, computer vision, and full-stack development. Developed intelligent systems deployed across predictive maintenance, and accessibility domains. Proven ability to deliver real-time, scalable solutions with measurable impact using Python, Machine Learning, Artificial Intelligence, SQL, and modern web frameworks. Education

California State University Sacramento Sacramento, CA Master’s in Computer Science Pursuing

Savitribai Phule Pune University Pune, MH, IND

Bachelor of Engineering in Computer Engineering Aug. 2020 – May 2024 Experience

Data Science Intern September 2023 – November 2023 Atreya Innovations Private Limited (National Startup Awardee) Pune, MH, IND

• Improved SQL query writing and optimized data retrieval processes for performance and accuracy in analytics dashboards.

• Collaborated with senior data scientists, deepening understanding of data pipelines, algorithm evaluation, and database querying Project Intern July 2023 – March 2024

Creocis Technologies Pune, MH, IND

• Built a predictive maintenance system for hydraulic clamping machines using SVM (96.8% accuracy) and LSTM (RMSE 0.069) on high-frequency sensor data.

• Resampled and processed 43K+ data attributes to enable time-series forecasting and fault classification.

• Developed a dual-mode React-Flask interface for real-time fault alerts and automated corrective actions.

• Designed a Power BI dashboard to visualize machine health and reduce downtime by up to 40%. Paper Published in Indian Journal of Technical Education, Publisher: Indian Society for Technical Education ISSN:0971-3034 Projects

AI-Powered Commentary System for Soccer Python, YOLOv9, OpenCV, NLP (Object Detection, AI, Reinforcement Learning)

Developed an end-to-end AI system for football analysis and commentary by fine-tuning YOLOv9 on a domain-specific dataset of 2,000+ labeled frames to optimize detection of key match entities.

Implemented multi-object tracking (ByteTrack) with 92.7% accuracy and team classification via K-Means (cluster purity: 94.3%).

Designed possession logic using spatial proximity and movement direction for player-ball control assignment.

Achieved 96.3% accuracy for detection of passes, duels, possession changes, and goals.

Generated real-time audio commentary using natural language templates and gTTS for audio output. Sign Language Detection via Action Recognition Python, TensorFlow, NumPy, Keras, Pandas, PyTorch (Deep Learning)

Developed a real-time gesture recognition pipeline using MediaPipe Holistic and LSTM for multi-frame sequence classification.

Achieved 97% accuracy, 95% precision, and 96.8% recall on a custom dataset of 1,000+ labeled gesture sequences.

Enabled live webcam-based sign detection with responsive visual feedback, enhancing accessibility for deaf and hard-of-hearing users.

Peer-to-Peer File Sharing System with Blockchain Logging Python, Flask, Solidity, Ganache, Web3.py, MySQL, Docker

Built a decentralized file sharing system supporting chunked transfers (up to 4KB/block), with peer discovery and a Flask-MySQL tracker for real-time file lookup across nodes.

Ensured data integrity via hash-matching and tamper-proof logging using Web3.py-integrated clients.

Leveraged Truffle to deploy Solidity smart contracts for securely logging file events on a private Ethereum ledger.

Containerized and orchestrated 6 services (2 peers, tracker, DB, Ganache, contracts) using Docker Compose, enabling full-stack deployment in under 15 seconds.

Skills

Languages: Python, C/C++, SQL, MongoDB, JavaScript, HTML/CSS Frameworks, tools, Libraries: React JS, Flask,Git, Docker, Google Cloud Platform, PowerBI, Tableau, Pandas, NumPy, Matplotlib, Keras, SciKit Learn, PyTorch, Web3.py, CUDA, GPU Interests: Data Structures and Algorithm, Artificial Intelligence, Machine Learning, Reinforcement learning, Deep Learning, Database Management System, Neural Networks, Natural Language Processing (NLP) INVOLVEMENTS

• Delivered a seminar on the topic “Handwriting Analysis for Detection of Personality Traits”

• Attended Honeywell Leadership Challenge Academy at U.S. Space & Rocket Center, Huntsville, Alabama

• IEEE Volunteer

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