Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 3

- Helped a company improve and optimize their reporting process that reduced reporting time by 75%
- Utilized Marketing analytics that helped improve sales leads by 30%
- Participated in an Financial hackathon and emerged among the top 5%
- Awarded as the Most Promising Data Scientist
I have over two years of experience working as a Data Scientist in Finance, Consulting, Edtech and Energy industry. Over these years, have been able to generate insights that have helped these companies improve their productivity and ROI. In the finance sector, I have carried out projects in Fraud detection, Insurance prediction and Financial Inclusion. In consulting, I helped a company to work on Employee attrition rate and was able to predict employee attrition with 85% accuracy. I have also worked on marketing analytics, where I helped an edtech company understand their market and advised them on  how to invest in advertising the company's product. In terms of NLP,  I worked with a legal firm to understand cases between an appellee and an appellant. In all these project, I have utilized various python packages like numpy, pandas, matplotlib, scikit-learn for data cleaning, analysis and predictive modelling. I have also utilized Microsoft Excel, Tableau and Power BI to create interactive dashboards.  I currently work as a Data Analyst at an Energy management company where I am build dashboards using power bi and utilize MySQL to store our data while also doing some machine learning research.
A small team working on a product looking to apply new technologies or optimize their current processes and approach.