Work Experience

Tutored the 1^st year students on the basics of Programming and Data Structures on a weekly basis at IIT Kharagpur.
Co-authored the tutorial and assignments sheets for the students on the basic concepts of Programming and Data Structures.

Devised a novel way of computing soiling rate in Photovoltaic plants experiencing similar climatic conditions from limited data. Authored the research abstract for submission in leading conference on renewable energy for publication.
Engineered a forecasting module to predict hourly active power generation by a PV plant using gradient boosted trees, achieving a correlation of 0.97. Enhanced the feature set by utilizing OpenWeatherMap API.
Automated the generation of daily visualization reports of PV Plants portfolio in Power BI by connecting MySQL server hosted on AWS EC2 instance.
Built a GUI application using PyQt4 to facilitate the data downloading from multiple PV plants’ dashboards.

Studied the low-resolution electrical energy consumption data of US consumers to analyse the pattern in vacation periods.
Devised a sliding window algorithm to predict the vacation instances of the residents using MATLAB with precision >95% and recall >70%, which got incorporated into production.
Worked on the energy disaggregation module to compute refrigerator consumption from low resolution, raw electrical energy consumption, data which was pushed to disaggregation pipeline.

Developed a polling feature for real-time meetings in Django Web Framework which was incorporated in the android app.
Extracted artists’ names from 15,000 Facebook textual posts using Stanford POSTagger after NLTK assisted pre-processing.
Generated Artists database by drawing out information using Wikipedia API, Youtube API, and SoundCloud API.