– Execute analytical experiments and statistical analysis to help solve various problems, making a true impact across domains such as Spectrophotometric modeling and experimental design.- Set up the companies data infrastructure, from ETL orchestration, Data Lakes, to Data Warehouse management.- Modeling of computer vision algorithms such as Optical Character Recognition(OCR), Food Recognition models, uplift, and churn prediction.

Worked as a Data Scientist consultant for clients in a variety of industries such as Telecommunications, Retail, Energy, Logistics, and Startups to deliver data-driven insights and solutions making use of statistical inference methods, machine learning.Developed AI-powered solutions within a variety of domains such as:- Big Data- Natural Language Processing- Mathematical Optimization- Time Series analysis and forecasting

Developed AI-powered products within the domains of:- Natural Language Processing(NLP)- Time Series Forecasting- Cloud Data LakesMade use of tools such as Tensorflow, Scikit-Learn, Numpy, and Scipy to employ production-ready machine learning models, mostly within the AWS ecosystem with tools such as Lambda, RDS, Redshift, Glue, and Athena.

- Modelling of a energy transaction system through cryptocurrency.- Software prototyping for blockchain transactions.- Demo presentations for angel investors.

- Application development with Ruby on Rails backend.- Frontend development with JavaScript and React.- Prototyping of solutions for HR consultancy firms.