Summary
Master of Science (M.Sc.) in Statistics from Acharya Nagarjuna University, Guntur.
A total of 3.2 years of experience in report generation, data analysis and modelling
Currently and from last 1 year involved in Predictive & Machine learning analytics and visualization for CPG industry using R studio and Tableau, Excel, SPSS and SQL
Exposure to types of data like Product Sales, Store and Consumer level etc.
Formerly worked with InRhythm Solutions Pvt. Ltd. Hyderabad, India.
A positive thinker and team player with strong communication and presentation skills
Description:
The project involved a detailed study on below mentioned business problems
Prediction of future Sale volume of multiple distributors for weekly shipment and stores for daily sales for different Products
Segmentation study across different international markets
Switching Analysis of Brands and effect of promotions
Assortment Analysis on Consumer Behavior and brand attributes
Role and Responsibilities:
Understanding Clients’ business problem and formulating it into quantitative research plan.
Analyzing different consumer level data with the help of various analytical and statistical methods
Applying Machine learning and Predictive analytics techniques like- Regression, Multinomial Logistic Regression, Time Series, Decision Tree, CHAID, PCA, Cluster Analysis, to build predictive models, segment the markets and to get future values of orders/Volume/revenue for Daily, weekly.