Equipped with a degree in mathematics (awarded with the highest academic distinction) and a sales analytics internship on top of this, I have a solid foundation in statistics, data analysis, financial and pure mathematics, and r programming. Alongside these, I have also taken online courses on MS Excel, Python Programming, SQL, and Tableau provided by IBM and UC Davis.
Notable activities are the following:
- Utilized k-means and hierarchical clustering to group heart disease patients based on age, cholesterol level, and heart rate.
- Applied variety of time series analysis techniques such as moving average, weighted moving average, and exponential smoothing to make consumption forecast.
- Built linear regression models to determine factors affecting the ease of business loan approvals.
