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Data Analyst with 1.5+ years in SQL, Python & Data Visualization
Experienced professional skilled in advanced analytics, SQL, Python, spreadsheets, statistics, probability, video analysis tools, data APIs, and visualization platforms. Adept at delivering actionable insights through scalable dashboards and automation pipelines to optimize decision-making. Experienced in designing ETL pipelines that consolidate disparate data sources for unified reporting. Skilled at translating business requirements into technical specifications through effective stakeholder management.
Don Bosco Institute of Technology
B.E. · Electronics & Telecommunication Engineering
August 1, 2020 – June 30, 2024
Hudl
Data Analyst Level 1
January 1, 2024 – Present
Mumbai, Maharashtra, India
Domain Club
Web Developer
January 1, 2023 – January 1, 2024
Mumbai, Maharashtra, India
Predict Food Time Delivery
January 1, 2023 – January 1, 2024
Built model in a 2-day hackathon using Python 3, Jupyter Notebook, and free image tools for dataset creation, training, and detection. Planned and applied an end-to-end workflow including image preprocessing, model training, and prediction pipeline, showcasing rapid prototyping skills. Collaborated in a team of 2, applying technical expertise and teamwork to deliver a functional solution under tight deadlines.
Design and Implementation of Low power MAC unit for Image Processing on FPGA
January 1, 2023 – January 1, 2024
Enhanced and executed a low-power MAC unit on FPGA for image processing, reducing power consumption by 55% while maintaining performance. Improved processing speed and lowered latency through parallelism and hardware optimization, achieving 50% faster execution for real-time applications. Verified design via simulation and FPGA deployment, delivering ~52% higher throughput and stronger energy efficiency compared to conventional implementations.
View ProjectChat with Docs
January 1, 2022 – January 1, 2023
Built a RAG-based application for PDF Q&A, improving document query accuracy by 60% compared to baseline search methods. Implemented React frontend with Flask backend, integrating Gemini API, reducing response latency by 55% and scaling user sessions. Created secure PDF upload support, extending to local LLM APIs, boosting flexibility and handling 40% more queries efficiently. Managed authentication and chat history storage, ensuring 50% stronger data security and reliable multi-session performance.
View ProjectSnake game
January 1, 2021 – January 1, 2022
Developed a Snake Game using Python and pygame, improving performance and responsiveness by approx. 50% with optimized movement, collision, and scoring logic. Enhanced gameplay through modular code and event handling, reducing bugs and achieving ~55% smoother scalability across different systems. Added custom mechanics and unique features, increasing user engagement by ~60% compared to typical online versions.
Introduction to Cloud Computing
IBM
June 1, 2026 – Present
Career edge Young Professional Course
TCS ION
June 1, 2026 – Present
Hackathon participation
University, Inter-College Level
June 1, 2026 – Present
Google Data Analytics Certificate
Coursera
June 1, 2026 – Present
ML with Python
Coursera
June 1, 2026 – Present
FPGA Design
University of Colorado Boulder
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from academic FPGA design to personal game development and hackathon participation, indicates a broad interest and adaptability. Their experience in a Data Analyst role at Hudl, coupled with leadership roles in college and participation in team-based projects, suggests a collaborative and proactive work attitude. The certifications in Cloud Computing and Google Data Analytics further align with a data-centric culture.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills including analytical thinking, leadership, time management, decision-making, collaboration, and business communication, as evidenced by project coordination, team awards, and hackathon participation. These skills are crucial for operational fit in a data-driven environment, enabling effective stakeholder management and team collaboration.