Data Science with 1+ years in AI, Machine Learning & LLM applications
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AI & Data Science graduate with hands-on experience in AI product development, LLM applications, automation workflows, and data analytics. Worked on enterprise-focused AI solutions involving ad compliance analysis, workflow automation, and predictive analytics. Skilled in Python, Machine Learning, Generative AI, and AI-assisted automation tools with experience delivering measurable business outcomes. Strong collaborator with leadership experience in organizing large-scale technical events and hackathons.
Coimbatore Institute of Technology
B.Tech · Artificial Intelligence & Data Science
August 1, 2021 – June 30, 2025
C5I
Product Development Intern
July 1, 2025 – November 1, 2025
Coimbatore, Tamil Nadu, India
Effitrac Solutions
Data Science Intern
April 1, 2023 – February 1, 2024
Coimbatore, Tamil Nadu, India
AI-Powered Telegram Expense Tracker
June 1, 2026 – Present
Built a conversational AI-based expense tracking system capable of parsing bills and tracking financial transactions. Automated weekly and monthly financial summary generation using workflow automation. Integrated LLM-powered interactions to improve user experience and financial tracking efficiency.
Real-Time AI Avatar Engagement System
June 1, 2026 – Present
Designed and deployed an AI avatar system integrating language models, speech synthesis, and real-time interaction. Reduced interaction latency to under 2 seconds for smoother user engagement. Focused on scalable conversational interaction and real-time responsiveness.
Intelligent Crop Price Forecasting System
June 1, 2026 – Present
Developed a machine learning-based forecasting system for agricultural commodity pricing. Achieved approximately 85% prediction accuracy using time-series forecasting models. Built an interactive dashboard to support data-driven agricultural decision-making.
PyDataFlow AI Developer Certification
Unknown
January 1, 2026 – Present
Winner - Crackathon 2.0 (24-Hour Hackathon)
MKCE
January 1, 2024 – Present
Python 101 for data Science
IBM
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's involvement in diverse personal projects (expense tracker, AI avatar, crop price forecasting) and leadership in organizing a hackathon indicates a proactive, innovative, and collaborative mindset. Their experience across different types of AI/ML applications suggests adaptability and a broad interest in the field, aligning well with a dynamic data science environment. The focus on delivering measurable business outcomes in internships also points to a results-oriented approach.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, team collaboration, and communication skills through project descriptions and hackathon leadership. Their experience in refining AI outputs and collaborating with product teams suggests an operational fit for roles requiring iterative development and stakeholder interaction. The ability to automate workflows and present data to non-technical stakeholders further enhances their operational readiness.