ROHIT VERMA

• Passionate about machine learning, software engineering and data analysis, with a strong foundation in computer science and engineering.

• Proficiency in Python and SQL supported by a solid mathematical background and knowledge of data structures and algorithms.

• Achieved 99% score in NPTEL’s Practical Cybersecurity course; certified as a top ranker.

• Resilient and persistent, with a commitment to excellence and continuous personal development.

• Strong technical skills combined with effective communication and collaborative problem-solving abilities.

• Built a churn classification model using Python with data cleaning, encoding, and feature scaling to handle different type of customer data
• Developed a ML pipeline for cricket match score prediction, from data ingestion and preprocessing to model training and evaluation
• Designed and implemented a Medallion (Bronze–Silver–Gold) data warehouse in Microsoft SQL Server, converting raw source data into clean, analytics-ready tables for reporting