

AI Engineer and Data Scientist with several years of experience in the training and EdTech industry, specializing in designing technology-driven learning systems and performance-focused programs. Currently pursuing an M.Tech in Data Science, with a strong foundation in machine learning, predictive analytics, and applied AI systems. Hands-on experience in developing end-to-end data science solutions, including data collection, preprocessing, feature engineering, model development, and evaluation. Proven ability to translate domain expertise in education into scalable AI applications, such as learning analytics platforms and geospatial safety assessment systems. Research-oriented professional with peer-reviewed publications and practical experience in machine learning, computer vision, and data-driven decision-making, now seeking to transition into AI Engineer and Data Scientist roles.
Partnered more than 100 students with their board exams and competitive exam preparations.
AI and machine learning knowledge
Model analysis and refinement
Predictive modeling techniques
Statistical data exploration
Python for data visualization
SQL (Basics)
Arduino & Embedded Systems
Learning Management Systems (LMS)
Research writing
Lesson planning