I collaborated with a team of talented IITians to design and develop a course recommendation system for NPTEL. Using machine learning algorithms and Python coding, we harnessed the power of data to create a personalized learning experience.

Our goal was to assist learners in discovering relevant courses aligned with their interests and goals. By analyzing course data and leveraging collaborative filtering techniques, we developed a sophisticated recommendation engine. This engine matched users with courses that best suited their preferences, enhancing engagement and satisfaction.

Worked as a Data Scientist, managed the scholarship data of 10,000+ beneficiaries in 4 different programs (including PAN India), and built a highly interactive Data Dashboard for each individual program using Excel and Tableau.

 Performed Data Engineering, pre-processing, and Descriptive analysis, using Python, and SQL. 

Worked as a Graduate Engineer Trainee on the project “Comparison of fabric dyeing machines and their suitability for various kinds of materials – soft flow, overflow, jet, jigger, and winch”. 

Industrial training, dyeing of cotton in multi-disciplinary environment, and comparison of fastness toward various dyes.  

Sensors, Actuators, Interfaces. Networking and Security in IoT. Communication and Security in IoT Hardware/software.

Fragrance & Flavour Development Centre (FFDC) has been set-up in the year 1991 by Government of India (MSME-DO) with the assistance of UNDP / UNIDO and Government of Uttar Pradesh.

Top grade certificate holder in the two-month education program on topic textile finishing from NPTEL INDIA.