Diabetes
Prediction

Using the historical medical records of patients, this project aimed to predict if a patient has diabetes.
Professional Data Scientist with MSc. Business Analytics from the University of Warwick (Warwick Business School).
Highly skilled in Python, R, SQL and Tableau with over 2+ years of expereience in the field of Data Science.
Using the historical medical records of patients, this project aimed to predict if a patient has diabetes.
Recommendation Engine for Amazon Prime movies, based on user's taste (movie ratings).
Reggression based predictive model for analysing the housing market of California
EDA of Comcast Customer Complaints for extracting business insights and visualising trends.
Creating a RDBMS for a hotel and exploring the data using SQL Queries. R-shiny for data Visualisation.
Text Analytics on the K8 Mobile phone customer reviews and extracting the latent topics discussed in the review section.
Machine Leaning Project to predict if a certain customer will repeat transaction in order to reduce costs and maximise profits.
Text Analytics on the Airbnb customer reviews; Sentiment Analysis; Topic Modeling to identify the latent topics within the review sections.
Text Analytics on the 10-K filings for 30 companies with the goal to identify effects of sentiment, word combination choice and topics discuess on their stock prices.
Executive Overview of Sales using Tableau, for demonstrating sales for all the regions from 2014 to 2017.
Interactive Dashboard to explore the patient medical records and understanding the correlation between variables and diabetes.
EDA of the Online Retail Business to identify various customer trends and segments; Sales Analytics.