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Data Science with less than a year in Data Analysis & AI/ML
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Highly motivated Computer Science Engineering student specializing in AI-ML, with practical experience in data science and sports analytics. Proficient in Python, cloud platforms (GCP), and a wide array of tools including LiveKit, Langchain, and Tableau. Demonstrated ability in developing multi-agent voice AI pipelines, creating automated data processing systems, and building predictive models, contributing to enhanced data analysis and decision-making.
ADANI UNIVERSITY
B.Tech in Computer Science Engineering (AI-ML) · Computer Science Engineering
January 1, 2023 – January 1, 2027
ALGOANALYTICS
DATA SCIENCE INTERN
September 1, 2025 – January 1, 2026
Ahmedabad, Gujarat, India
INFOSYS SPRINGBOARD
SPORTS ANALYTICS INTERN
January 1, 2025 – March 1, 2025
India
MULTI-AGENTIC TALK-TO-FOUNDER SYSTEM
January 1, 2023 – June 1, 2026
Architected a three-agent Voice AI pipeline using the LiveKit Agents framework, enabling natural, real-time voice conversations with an interactive AI representative of a company founder. Eliminated LLM inference costs by deploying a local model (Qwen 2.5:1.5b via Ollama), engineered custom fallback validation logic to guarantee structural data-capture reliability despite constrained edge-model capabilities. Synchronized client-side React forms with the Python backend by implementing LiveKit RPCs and WebRTC data channels, enabling zero-latency state mutation and real-time lead data capture. Developed an automated backend data pipeline that autonomously parses voice transcripts, structures conversational data into JSON formats, and routes automated SMTP confirmation emails upon successful booking.
View ProjectLEAD WITH AI AGENTS HACKATHON
January 1, 2023 – June 1, 2026
Collaborated with a team to create an Automated audio dubbing tool, Univoice.ai consisting of 5 AI Agents. Created a fully automated Audio Extraction and Transcription Agent which successfully extracted audio from videos in .wav format using yt-dlp and provided a speech to text transcript for URL input using OpenAI Whisper 3.0. Created a fully automated Dubbing Agent which successfully achieved text to speech from transcript using Murf.AI API.
View Project6TH DUBSTECH DATATHON (UNIVERSITY OF WASHINGTON)
January 1, 2023 – June 1, 2026
Collaborated with a team to analyse a retail dataset with 540000 records, secured 3rd Position for Best Data Analysis. Collaborated with a team to build an interactive Tableau dashboard for top 10 countries and customers driving most revenue. Developed a product health scoring system using weighted KPI's to get top 10 products that drove 68% of total revenue. Built an XGBoost model to forecast demand and revenue at product, store, and country levels, achieving <5% MAE for future 3 months predictions. Visualized 3 months predictions with Python libraries Seaborn/Matplotlib to anticipate seasonal demand shifts.
View ProjectSOCCER PLAYER TRACKING SYSTEM
January 1, 2023 – June 1, 2026
Engineered a computer vision pipeline utilizing YOLOv11 to detect and track athletic assets across 375 frames of 25FPS video; performed confidence distribution analysis to optimize class thresholds and maximize detection reliability. Integrated DeepSort tracking with localized size-filtering and custom HSV color filters to automate multi-class categorization (players, referee, ball) with a robust 180-frame identifier persistence window.
Google Cloud Architecture and Security
June 1, 2026 – Present
Project Management
IIT Roorkee / NPTEL
June 1, 2026 – Present
Python for Data Science
IIT Madras / NPTEL
June 1, 2026 – Present
Business Intelligence Analytics
IIT Madras/NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's participation in hackathons and academic datathons, along with personal projects, indicates a strong drive for continuous learning and application of new technologies. The diversity of projects, from AI agents to sports analytics and computer vision, suggests adaptability and a broad interest in different domains within data science. This aligns well with a dynamic and innovative work environment. The candidate's current education status (B.Tech ending in 2027) suggests they are still early in their career, which might require mentorship and growth opportunities.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills through multiple team-based projects and hackathons. Their project descriptions indicate an ability to tackle complex problems and implement practical solutions, suggesting a proactive and problem-solving work attitude. The focus on optimizing LLM inference costs and ensuring data reliability points to a detail-oriented and efficient approach. However, without psychometric test results, a comprehensive assessment of stress handling and other operational fit aspects is not possible.