Python
1. Continuously learning and solving problems in data science. Data Scientist familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in regression based modelling.
2. Astute, calculating and attentive to specific business requirements. Successful history of identifying patterns, making interpretations and producing reports. Skills setting up databases and other frameworks, managing systems and aligning procedures with business needs.
3. Innovative Data Scientist with 2 years of experience in analytics and success in building algorithms and products which have significantly reduced energy consumption. Highly accomplished in influencing decision-makers and driving profitability across multiple divisions, including banking credit risk, debt collections, customer relationship management and digitization. Eager to bring expertise to growing organization in challenging new role.
4. Proficient in Python and have experience in working with Data Lakes, Elastic Search and DynamoDB. Built visualization tool using Dash and experience in using Machine Learning algorithms.
Innovator
undefinedPublished Research Paper titled "The end of Dumb HVAC Assets" in AEEE. Deployed a lightweight algorithm(developed in Python) running inside the IOT controller which has brought 70 efficiency in the Air Handling Units in the HVAC while maintaining the ambient thermal comfort. Have written the algorithm from scratch and designed the data science and software architecture for the same. It gives the user the capability to fine-tune the system to maximise energy savings.
Python
Unit testing
Code Documentation
ML libraries - Tensorflow, pandas, numpy, scikit-learn, plotly, matplotlib, seaborn, mango
Databases - DynamoDb, S3, Elastic Search