Lead the migration of data processing for insurance client from ACL scripts to Alteryx workflow which involved extracting business and technical understanding of the ACL code, design develop workflows to generate expected results with visualizations using Tableau.

Predicted the bitcoin daily price by analyzing consumer demand obtained from social media data.

Performed text mining using python to derive sentiment scores for the day and built Deep learning (LSTM + ANN) model to predict daily price or fluctuations. Link:

In this research, international gold price was predicted by analyzing consumer demand obtained from social media as well as financial news-feed data.

Performed text mining using statistical tools (R Programming) and techniques to derive certain key sentimental insights about the data set, stored in MySQL database and further proposed a regression model to ultimately predict the international gold price.

Led the development and deployment of a Machine Learning engine that provides ML capabilities as a service. The engine is designed to process high volumes of data, provide Regression, Classification and Optimization capabilities and compare internally to come up with the most optimal prediction models.

Explored various aspects of the data such as satisfaction level of employee and others to correlate with the employees who left. This data has been taken from Kaggle datasets and created a notebook. Predicted the future employee leaving by using trees based modelling with 90% accuracy.

Predicted the Chronic Kidney Disease using classification algorithms using the patients data from UCI Machine Learning platform. Analyzed the correlation of the class variable with other attributes using correlation matrix, significantly guided in reducing the number of predictors to predict the class variable.

Created a device which automatically stops the infusion system when the bottle gets emptied and perform automatic scheduling of medicinal injections. Presented a working prototype in a healthcare Innovation Competition Elixir 3.0, Techfest [IIT Bombay] and Stood overall 4th amongst 400 teams. The project was covered in an exclusive article by CHIP Magazine in Nov 10.

Developed a web application to automate Online polling system for the Election Commission of India with additional features like ad-hoc & scheduled reports, Forums, chats, real-time poll status with graphics. Developed automated report generating engine using jasper reports API to generated ad-hoc and reports. The project stood all India 5th amongst 30000 participating projects in IBM Great Mind Challenge 09 (biggest software development competition of India as per Limca Book of Records).