Projects
Predictive Analysis on deprivation and risk of cardiovascular disease through nutriment information.
Technical Skills: Python [ NumPy, Geopandas, Matplotlib, Seaborn, Scikit-learn], Machine Learning.
- Determined an alternative set of structured data with 4.5 million data points in order to speed up the deprivation and CVD risk calculation process.
- Developed feature selection algorithms in order to identify the appropriate features from the alternate set of structured data.
- Machine learning models [Linear Regression, Decision Tree & SVM] were employed to predict deprivation and CVD risk for the greater London region, with model accuracy of more than 60% & 80%, respectively.
Correlation between Plastic bottle Pollution and availability of Clean and Safe Drinking Water.
Technical Skills: Wolfram Mathematica, Microsoft Excel.
- The availability of clean water and data on plastic bottle waste were taken into account using Wolfram Mathematica to forecast water availability and a potential increase in waste.
- However, subsequent analysis revealed that the UN's objective of 100% clean water availability by 2030 is not feasible. The study could not identify any statistical association between plastic bottle waste and the availability of clean water.
Research Project in Fund Management.
Technical Skills: Microsoft Excel, Google Analytics, Google Worksheets.
- Examined commercial and financial information with a biotech organization to discover the sources of funds and produce a fund flow statement.
- A time-saving method was established throughout the research to deal with the prolonged, tedious fund flow management process, which might assist in easily identifying extra funds.
