Data Science, Machine Learning

ABHISHEK MAHESH NAGARE

Los Angeles, California 213-***-**** *******@***.*** https://www.linkedin.com/in/abhishek-nagare-8aa93a217/ EDUCATION

University of Southern California Los Angeles, California Master of Science in Applied Data Science August 2024-May 2026

Relevant coursework - Data Mining, Machine Learning, Data Management, User Research, Research Methods University of Pune, Maharashtra, India Maharashtra, India B.E. in Information Technology (Honors - Data Science), CGPA: 3.9/4.0 July 2018-June 2022 Relevant coursework - Data Structures and Algorithms, Database Management, Business Intelligence TECHNICAL SKILLS

Languages and Technologies: Python, Java, C, C++, PySpark, Spring Boot, Microservices, Docker, JavaScript, Spark, Git, Big Data Technologies, Business Analytics, Business Intelligence, Mathematics, Agile, SQL, MySQL, MongoDB, HeidiSQL

Frameworks and Tools: PowerBI, Tableau, Hadoop, NumPy, Pandas, Scikit learn, Matplotlib, Tensorflow, Keras, Pytorch

Cloud Technologies: Amazon Web Services (AWS), Google Firebase, Azure, Google Cloud Platform, Cloud Computing

Professional Skills: Data Analytics, Data Visualization, Deep Learning, Statistics, Decision-making, Communication Skills PROFESSIONAL EXPERIENCE

Tata Consultancy Services (TCS) Pune, India

System Engineer - Python and Java Developer August 2022-July 2024

As Revenue Management System Team Head - Managed billing for over 10,000+ accounts on Tata Consultancy Services HOBS with high accuracy in reconciled data

Automated and streamlined reconciliation process, reducing processing time from 5 hours to 30 minutes per cycle and saving approximately 30+ workdays annually by eliminating repetitive manual processes

Processed 4000 records per hour, increasing billing accuracy and efficiency

Resolved 70% of customer issues on first interaction, boosting revenue in each quarter PROJECTS

Talk2DB - ChatDB, an interactive Chatbot application October 2024-December 2024

Team Leader [Tech Stack: Natural Language Processing, Python, MongoDB, MySQL, RE, NLTK, Streamlit]

Built an user-friendly web app to query SQL and NoSQL databases using NLP-based query generation

Streamlined data retrieval by generating dynamic queries for multiple databases, making complex datasets more accessible

Designed a Streamlit UI for dataset discovery, MongoDB query generation, and analytics, supporting 50+ query types Time Series Classification for Human Activity Recognition September 2024-October 2024

Individual [Tech Stack: Scikit-learn, Pandas, Numpy, Bootstrap, Python, statsmodels, Keras, Matplotlib]

Developed a binary classifier for bending vs. other activities classification from Wireless Sensor Network time series data

Enhanced real-time activity monitoring and motion detection accuracy

Achieved 98% accuracy, significantly decreasing false positives, boosting real-time motion detection and posture analysis Mask R-CNN Architecture for Dental X-Ray Image Segmentation March 2022-June 2022

Team Leader [Tech Stack: Deep Learning, Convolutional Neural Networks, Supervised Learning, Python, Tensorflow]

Trained 1500 X-rays with 96% accuracy on ML Convolutional Neural Network model to automate tooth segmentation and numbering to cut down workload

Tooth depth detection with 94% accuracy, improving speed and usability by 60% using Gradio and OpenCV. Real-time visualization of segmented teeth and numbers, revamping diagnostic accuracy for dentists

Published in the Grenze International Journal of Engineering and Technology, the survey paper highlights advancements in deep learning techniques for medical image analysis and segmentation LEADERSHIP EXPERIENCE

Co-Head of Rangabhumi, RSCOE Rangabhumi - Theatre Group Pune, India Co-Head July 2021-June 2022

Managed 15+ university, state, and national-level events with 200 members in acting, writing, directing, and backstage management. Partnered with event teams to organize inventory and execute 10+ drama shows seamlessly

Led a 170-member team, overhauled event processes by 35%, audience interaction by 50%, received 3+ excellence awards

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