Enthusiast, self-learner, and process-oriented Data Analyst with a keen interest in the latest technological development in healthcare such as Analytics, Visualization, and Data Science, with a high affinity towards Data & Business Analytics, seeking a responsible full-time career opportunity in a reputable organization where I can work with experienced professionals and reach full potential.
Initiatives in projects:
Python
Projects In Data Science:
HR Analytics: Attrition analysis of a consulting firm & to understand, identify factors that help retain employees by using Python (pandas, matplotlib, seaborn, numpy )
Property Price Prediction: Property price prediction using linear regression e.g. R, python (libraries) etc
Churn Analysis in Telecom Industry: Predicting customers who are more likely to churn e.g. R, python (libraries) etc
MySQL: MySQL for data analytics and business intelligence (Udemy)
Power BI: Power BI course for beginner (Codebasics)
Introduction to Statistics by Stanford University.
Reading- Non-fiction
Watching series- Horror, Mystery and crime, Thriller
Travelling- Exploring different cultural cities.
Cooking- Indian, Chinese and Italian.
Introduction to Statistics by Stanford University.
Writing in the Sciences by Stanford University.