Kunal Bansal

Applied data scientist focused on video and social media analytics: built models and pipelines to extract YouTube video metadata (thumbnails, titles, comments, subscriber counts) and used those features in Random Forest and regression models for tasks like predicting ad percentage and category prediction. weekday+1

Experience across product and consultancy environments: has held roles at startups and larger firms (Vidooly, Octro, Redian Software, Upwork freelancing, and Tata Consultancy Services), combining hands-on ML work with software engineering tasks. weekday

Practical machine learning and engineering skills: familiarity with model building (Random Forest, linear/logistic regression), object detection (YOLOv3/darknet), SQL (DDL/DML/DQL, window functions), and pipeline construction. weekday

Formal training and continuous learning in data science: holds a B.Tech in Computer Science (AI specialization) and completed a postgraduate Data Science program at C-DAC to deepen ML and big data skills. weekday