Data Analytics April – Present Ineuron.ai
• Responsible for collecting and cleaning data from various sources performing statistical analysis using python.
• Summarizing findings of data through visuals that helped better decision-making. Applied Data Science Lab April, 2023 World Quant University
• Completed eight end-to-end, applied data science projects. In each project, they accessed data from files, SQL and NoSQL databases and APIs.
• Demonstrated ability to explore and clean data, and create functions and ETL pipelines to prepare training sets.
• Built machine learning models for supervised and unsupervised learning tasks, and have created visualizations to explain data characteristics and model predictions for non-technical audiences. Quant Resarcher Consultant April – Present World Quant Brain
• Build long-short trading strategies and back test them on previous data using mathematical models known as ”alphas”.
• Strategies would be coded using fast-expression language.