NSNavneet Shahi
@navneetshahi
Data Scientist at PWC
Patna, Bihar
Navneet Shahi is a highly motivated Data Scientist with 3 years of hands-on experience in data analysis and machine learning modeling. He specializes in Python, R, SQL, and PySpark, with a strong background in visualization using Power BI and R Shiny. His domain expertise includes revenue management, demand forecasting, and linear optimization.
Experience
Data Scientist
PWC
Developed Price / Cross Elasticity and Promo Optimization models for PepsiCo, resulting in significant NOPBT impact. Created Churn Prediction and Route Optimization models for JK Tyre, increasing vendor retention. Developed a Linear optimization model for Haldirams to optimize truck loading and fuel costs. Built custom Time Series models for LATAM Wholesale Channel Demand Forecasting and designed Power BI dashboards for Global Net Revenue Management. Designed custom ML models for Integrated Supply Chain Planning using JDA tools.
Education
BIT Mesra, Ranchi
Integrated MSC
Math & Computing
Master Thesis: Vendor Selection System using FIS Modelling of MATLAB.
Licenses & Certifications
Advance DAX for Power BI desktop
Udemy
SQL Bootcamp
Udemy
R Shiny Interactive Flex Dashboard
Udemy
Introduction to Spark SQL
LinkedIn Learning
Apache Spark Essential Training
LinkedIn Learning
Power BI Data Modelling With DAX
LinkedIn Learning
GAN Model in ML
LinkedIn Learning
Pandas essential training
LinkedIn Learning
ML with Scikit-Learn
LinkedIn Learning
Python Working with Predictive Analytics
LinkedIn Learning
NLP with Python for ML
LinkedIn Learning
ML K-Means Clustering
LinkedIn Learning
Excel Supply Chain Analysis
LinkedIn Learning
Applied ML Ensemble Learning
LinkedIn Learning