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Data Science with 1+ years in Data Analysis, Visualization & AI/ML
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Assessing your cultural and operational fit
Data Analyst with strong foundations in SQL, Python, R, Excel, and data visualisation (Power BI, Tableau) with hands-on experience collecting, analysing, and interpreting complex datasets to generate actionable business insights. Proven ability to build dashboards, identify trends and growth opportunities, and present findings clearly to stakeholders. Detail-oriented and accurate, with a track record of delivering data-driven recommendations that support decision-making across cross-functional teams.
Rajalakshmi Engineering College
M.E. Medical Electronics
August 1, 2024 – June 30, 2026
Prince Dr. K. Vasudevan College
B.E. Biomedical Engineering
August 1, 2020 – June 30, 2024
TTK Healthcare Ltd.
Internship - TTK Healthcare Ltd. (Knee Implant Division)
October 1, 2025 – Present
Chennai, Tamil Nadu, India
Billroth Hospital
Clinical Internship - Billroth Hospital
July 1, 2025 – September 30, 2025
Chennai, Tamil Nadu, India
Chettinad research institute
Intern Chettinad research institute
August 1, 2022 – July 31, 2025
Chennai, Tamil Nadu, India
Student Stress Level Prediction - BERT NLP + Flask + React
January 1, 2024 – December 31, 2025
Collected and processed multi-source datasets, performed statistical analysis to identify stress-related patterns, and built an NLP classification model achieving 92.3% accuracy - full data analysis lifecycle from raw data to insight Designed and deployed interactive reporting dashboards (Flask + React frontend) enabling stakeholders to explore predictions, filter by category, and interpret trends in real time Identified key data quality issues during preprocessing; implemented validation and accuracy checks across the pipeline, ensuring clean, reliable data inputs for modelling and reporting
Brain Tumour Classification - CNN + Vision Transformer Hybrid (M.E. Major Project)
January 1, 2024 – December 31, 2025
Analysed complex MRI imaging datasets to identify patterns and growth opportunities in diagnostic accuracy; hybrid CNN + ViT model delivered 20% improvement over baseline through data-driven iterative refinement Prepared structured analytical reports and stakeholder presentations summarising dataset characteristics, model performance trends, and strategic recommendations for faculty sponsors
Kidney Stone Detection - CNN + Streamlit
January 1, 2023 – December 31, 2024
Built end-to-end data collection, analysis, and reporting pipeline for clinical imaging classification; deployed Streamlit dashboard presenting real-time diagnostic insights to clinical end-users - 94.5% accuracy Ensured data accuracy and quality throughout the pipeline through systematic validation, reconciliation, and iterative QC - delivering reliable outputs for decision support
SQL for Data Analysis
Unknown
June 1, 2026 – Present
Power BI
Unknown
June 1, 2026 – Present
Advanced R Programming
NPTEL
June 1, 2026 – Present
Introduction to AI & Data Science
Unknown
June 1, 2026 – Present
Clinical Research & CDM Diploma in MS Office
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects are diverse, focusing on medical imaging (brain tumor, kidney stone) and NLP for stress prediction, showcasing a broad interest in applying data science to real-world problems. Their internships, particularly at Chettinad Research Institute, demonstrate experience in collaborative research environments and a commitment to data-driven decision-making. The blend of technical skills and domain-specific knowledge in healthcare indicates a good fit for roles requiring both analytical depth and practical application.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, attention to detail, and problem-solving skills through their project descriptions. Their experience in collaborating with cross-functional academic teams and supporting stakeholder presentations suggests good communication and teamwork abilities. The emphasis on data quality and documentation aligns well with operational rigor.