Akshay Phalswal

Carried out multiple Meta-analyses and indirect comparisons of Pimecrolimus, Crisaborole and other regimens using R and Excel. Created a Valuation model using (NPV) to forecast the value of a pharmaceutical company for a client keeping in view the COVID- 19 impacts including primary research using MS Excel and VBA. Created Cost-Effectiveness Markov models to carry out cost-effectiveness analysis in the form of ICER for a regimen with Probabilistic Sensitivity Analysis using R and MS Excel. Created Cost-Effectiveness model and epidemiology-based Budget Impact Model for RSV considering factors like vaccine efficacy, coverage, frequency, eligibility, etc. for different age groups using MS Excel, VBA and Python.

Used k-means clustering in order to discover a new segment of users. Used Predictive Modeling (Machine Learning) to forecast company sales. Detection of phishing websites: The project was based on predicting whether a website is phishing website or not. Used the caret package's train() function with repeated cv and ranger method. Achieved an accuracy of 96.4% for model(75% data) and 98.3% for testing data(25% data). Analysis of population trends over years: The Analysis was based on the population of 4 different Ethnicity from 1957 to 2018. Plotted the changing population trends in terms of age, gender and ethnicity.