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Data Science with 2+ years in Data Analysis & Machine Learning.
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Assessing your cultural and operational fit
Analytical B.Tech student specializing in Artificial Intelligence & Data Science with strong skills in SQL, Excel, and Python for data analysis and automation. Experienced in building dashboards, cleaning and transforming datasets, and extracting actionable insights from real-world data. Proficient in working with REST APIs and developing data workflows to streamline reporting and improve decision-making. Passionate about solving business problems through data-driven approaches.
Ramco Institute of Technology
B.Tech · Artificial Intelligence & Data Science (.hons)
N/A – June 30, 2027
Manvian Groups
AIML Intern
January 1, 2026 – February 1, 2026
Chennai, Tamil Nadu, India
Rgreen Technologies, TCE Technology Business Incubator
AIML Intern
June 1, 2025 – July 1, 2025
Madurai, Tamil Nadu, India
Batchmates Media
Sales & Brand Manager
January 1, 2024 – Present
India
Amazon & Flipkart
Affiliate Marketer
January 1, 2024 – Present
India
LinkedIn Analytics Dashboard & Data Pipeline
January 1, 2026 – June 1, 2026
Collected and consolidated raw data from personal LinkedIn analytics across 20+ posts and multiple Excel sources into a unified dataset. Performed data cleaning, transformation, and feature engineering to improve dataset usability and structure. Built dynamic pivot tables and interactive dashboards to track impressions, engagement rate, and content performance metrics. Analyzed content trends based on post type, timing, and audience behavior to identify high-performing strategies. Designed calculated metrics such as engagement rate and performance ratios for data-driven decision-making.
View ProjectCar Price Prediction & Q1 Sales Analysis (2025)
January 1, 2025 – December 31, 2025
Processed and cleaned 14K+ car sales records for model reliability and analysis. Built and validated a Linear Regression model (R2 = 0.96) to predict car prices accurately. Conducted Q1 trend analysis to identify brand and regional performance using Matplotlib and Seaborn.
Financial Fraud Detection (2025)
January 1, 2025 – December 31, 2025
Analyzed 6.3M+ transaction records with extreme class imbalance (0.13% fraud). Engineered features such as transaction deltas and applied Stratified K-Fold validation. Achieved AUC = 0.97 using Random Forest after class-weight tuning for robust fraud detection.
InternShield – AI-Powered Chrome Extension for Fake Internship Detection (2025)
January 1, 2025 – December 31, 2025
Developed an NLP-based Chrome Extension using Flask and NLTK to detect scam job listings. Designed an intuitive UI leading to 30% faster decision-making for users using HTML, CSS, and JS for real-time user feedback. Built a keyword and review verification system with a scoring algorithm to classify listings as SAFE, DOUBTFUL, or FAKE.
Data Science & Deep Learning
Infosys Springboard
May 1, 2025 – Present
Business Plan Competition (1st Prize)
SAE INDIA
January 1, 2024 – Present
Kalasalingam University Euphoria Hackathon (4th Prize) – Build Data explorer AI
Kalasalingam University
January 1, 2024 – Present
Python Essentials 1
Cisco Networking Academy
November 1, 2023 – Present
Introduction to Data Science
Cisco Networking Academy
October 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a strong interest in applying AI and Data Science to solve real-world problems, aligning well with an innovative and problem-solving culture. Participation in hackathons and business plan competitions indicates a proactive and competitive spirit. The diverse range of projects, from financial fraud detection to AI-powered Chrome extensions and OMR evaluation, suggests adaptability and a willingness to explore different domains. However, the experience is primarily academic and internship-based, with limited exposure to long-term, collaborative industry projects, which might require some ramp-up in a fast-paced corporate environment.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Leadership, Analytical Thinking, Collaboration, Creative Problem Solving, and Storytelling. Project descriptions also implicitly demonstrate problem-solving and analytical abilities. The experience in sales and brand management, while not directly technical, suggests an understanding of business objectives and communication, which can be valuable in operational roles requiring stakeholder interaction.