Chinu Sehgal

Computer Science (AI & ML) undergraduate with hands-on experience building machine learning applications using Python and deploying AI-powered solutions. Strong foundation in machine learning, probability, statistics, linear algebra, optimization, and data processing. Experienced in developing end-to-end ML projects involving NLP, data validation, automation, and model evaluation.

Familiar with PyTorch, OpenCV concepts, Git, Linux, and cloud platforms. Passionate about Computer Vision, model deployment, and applying AI to solve real-world customer-focused problems.

Data Analyst Intern - Maruti Suzuki India Ltd.

(2025-07 - 2025-08)

• Increased data accuracy by 18% – wrote SQL JOINs and GROUP BY queries to identify 1,200 duplicate records, automated fixes using Python/Pandas
• Built SQL anomaly detection queries processing 100,000+ engine records; performed EDA to identify root causes of data inconsistencies
• Automated manual reporting workflows reducing team effort by 25%, enabling faster business insights

AI/ML Intern - YBI Foundation

(2024-06 - 2024-07)

• Developed recommendation system achieving 85% accuracy using collaborative filtering and similarity techniques
• Applied feature engineering and hyperparameter tuning to optimize model performance

Astronomy Trainee (Data Analysis) - Indian Space Academy

(2025-06 - 2025-07)

• Conducted 120+ hours of Python-based data analysis on astronomical datasets using Pandas and NumPy
• Built automated analysis pipelines to process large-scale scientific data and generate insights for research team

B.Tech - Computer Science (AI & ML) - Dronacharya College of Engineering (2023 - 2027)