About

Pranit Kumar Pandey is a Senior Product Analyst with over 4 years of experience in the field. He is currently working as a Product Analyst at Blackbuck, where he generates insights and reports. Pranit has previously worked with TEG Analytics as a Business Analyst, where he handled Retail Analytics for one of the leading CPG clients. He has also worked with Cerner as a Software Engineer, where he managed projects involving healthcare and revenue. Pranit is skilled in SQL, including Oracle SQL (10g) and MS SQL, Tableau (Intermediate), R, and Python. He has expertise in statistical skills such as Linear Regression Model, Multiple Regression Model, Logistic Regression Model, and Hypothesis Testing. He is also well-versed in machine learning techniques such as Decision Tree, Random Forest, K-Nearest Neighbor, Time Series Forecasting, Feature Selection, Market Basket Analysis, Text Analytics, Clustering (K-Means), Naive Bayes, and Gradient Descent. Pranit has certifications from Coursera in R Programming, Regression Models, Statistical Inference, and Exploratory Data Analysis. He has also completed Udemy certified courses in R Programming for Absolute Beginner and R Programming Advanced Analytics in R for Data Science. Pranit has been certified by DataCamp in Intro to Python and Intro to SQL for Data Science. He has completed the Data Science for Professional course from Sky Analytics. Pranit has organized a Python Hackathon in TEG Analytics and has also been a Competitions Contributor at Kaggle. He has worked on projects such as Prediction the income class of US population and Prediction of Bike Sharing Demand (Kaggle). Pranit has a Bachelor of Engineering (BE) degree in Electronics and Communications Engineering from BIT. His relevant experience in the field is 6.94 years.