Data Scientist Science

Sanjaikumar Balasubramaniyan

Data Scientist

www.sanjai-11.github.io ****@**.*** linkedin.com/in/sanjaikumar-b-309066202/ github.com/sanjai-11 EDUCATION

Master of Science in Data Science

Indiana University, Bloomington, IN May 2026

• Relevant Coursework: Statistics, Applied Algorithms, Advanced Database Concepts, Machine Learning, LLM, Data Mining

B. Tech in Artificial Intelligence & Data Science

SRM Valliammai Engineering College, Chennai, India April 2024

• Relevant Coursework: AI, Business Intelligence, Natural Language Processing, Numerical Linear Algebra, Data Structures, Computational Linguistics, Probability & Statistics, Image Processing PROFESSIONAL EXPERIENCE

Data Scientist Intern

Systech Solutions Pvt Ltd., Chennai, India Apr 2024 - July 2024

• Built real-time Power BI dashboards, enhancing decision-making speed and visualization quality by 40%.

• Automated data workflows with optimized ETL pipelines, cutting data processing time by 35%.

• Deployed machine learning models, boosting customer segmentation accuracy by 25% for predictive insights.

• Provided scalable data solutions, improving cross-team operational efficiency by 30%. Data Analyst Intern

8Queens Software Technologies Pvt Ltd., Chennai, India May 2022 – Jan 2023

• Streamlined real-time data processing by transforming datasets, improving accessibility and accuracy.

• Created interactive Tableau dashboards for sales, driving a 15% improvement in performance insights.

• Deployed supervised ML model for diabetes risk prediction, boosting predictive accuracy in health analytics.

• Delivered actionable insights through data-driven solutions, supporting strategic decision-making processes. TECHNICAL SKILLS

Programming: Python, R, SQL, C/C++, Scala, JavaScript ML & DL Algorithms: Regression, Classification, Clustering, XGboost, CNN, RNN, LSTM, MLPs, GRU, GANs Technical Tools: PyTorch, TensorFlow, Tableau, PowerBI, Pandas, NumPy, SAS, Stata, Scikit Learn, Hugging Face, Computer Vision

Cloud & Databases: PostgreSQL, MSSQL, MongoDB, Neo4j, Hadoop, Hive, AWS (S3, EC2, SageMaker, Glue, QuickSight), GCP (BigQuery, DataFlow, AutoML, VCP) Developer Tools: VS Code, Docker, Postman, GitLab, GitHub, Bitbucket, JIRA Certifications: Google Professional Data Analytics, Python for Data Science (NPTEL, Elite batch), ML by Harvard PROJECTS

AI Agent for Operating Backend System LLM, Flask, SQLite, Google Gemini-pro

• Built an AI agent using Gemini-pro LLM, automating workflows with 50% improved efficiency and 80% fewer manual tasks at 95% accuracy.

• Developed a Flask API with SQLite, cutting response times by 40%, supporting 1,000 queries, and boosting backend efficiency by 30%.

Advanced ANPR for Vehicle Management YOLO, OCR, Python, SQL Published in Adalya International Journal, DOI: 10.37896/aj13.3/001

• Built a YOLO-based model with OCR for license plate detection, achieving 96% accuracy and enhancing blurry images by 85% through advanced preprocessing.

• Developed a scalable system with automated vehicle tracking, entry/exit logging, and 92% overall accuracy. AI-Powered Banknote Identification Computer Vision, Deep Learning, Python, gTTS

• Developed a deep learning model with 96% accuracy, reducing recognition errors by 18%, and integrated gTTS (Google Text to Speech) for real-time voice feedback, improving accessibility by 40%.

• Built an inclusive financial tool for visually impaired users, benefiting 100+ testers, and presented at RTACT 2024 for its innovation and social impact.

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