ssr48,Shashank Rai,Shashank_Rai_,github

Hi there 👋

My name is Shashank Rai and I am a Business Analyst at Amazon. I have over a decade of data analytics experience wherein I have worked in tech, finance, and education. I have help clients in their organizational transformation efforts through data analytics. I have extensive experience in marketing, financial, and product analytics and also helped clients develop and implement online learning products. I am especially well equipped with tools like Python, R, SQL, and Tableau and complex statistical analysis. Outside of my analytical skills, I have led and developed a team of analysts in the past to improve the organizational culture of data-driven decision-making!

Shashank Rai's Projects

food-and-safety-restaurant-infection

This repository provides a brief description of restaurant inspection data by the DC Department of Health, the key outcome variables, and results of initial predictive analysis for those key outcome variables.

geo-market-funnel-analysis

This repository provides the code to analyze the enrollment funnel at geographic, First Source Code, high schools, and academic level. It captures data for enrollments in Fall 2017, Fall 2018, and Fall 2019 Freshmen from the US for a private university.

predicting-recidivism

This Repository captures a first attempt at predicting recidivism in US prisons

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

retention-and-first-term-gpa-analysis-with-linear-regression

This repository contains the code and the results of a linear regression analysis aimed at understanding the statistically significant factors in determining the first term GPA of freshmen undergraduate students.

revenue-prediction-with-random-forest

This repository provides the code for revenue prediction for upcoming semesters at a private university.

ssr48

Profile

substrate-etl

Substrate ETL (inspired by ethereum-etl) exposes Substrate blockchain data (presently Polkadot and Kusama networks) for loading into convenient formats like CSVs and relational databases. All finalized data is published in a public dataset in BigQuery daily to hourly.

time-series-prediction-with-prophet

This repository provides the code for time series analysis using Facebook's Prophet library in Jupyter Notebooks. The code predicts future enrollments at a private university.

Recommend Projects