Rohan Sharma

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About Me

Hi, this is Rohan!

I am a Data Scientist with 5+ years of analytical learning.I have 3+ years of professional experience in helping Fortune 500 companies make data-driven decisions. I enjoy solving muddy business problems with unique and innovative solutions.

I am currently pursuing Master of Science in Business Analytics(MSBA) with a Data Science Track at the University of Cincinnati, where I am honing machine learning, programming and statistics skill sets.

As a Decision Scientist at Mu Sigma , I worked as an individual contributor as well as team lead on multiple analytical projects for Fortune 500 clients across domains like retail, E-commerce, Fashion, Hospitality. My Primary responsibilities were Implementing statistical modeling techniques in & deriving insights from treasure troves of structured and unstructured data and delivering them to business/tech stakeholders. My top skills are cross-industry business acumen and translating business problems into mathematical models and breaking them down into smaller fragments

In the following part, I'd like to share some projects I completed and my journey so far.

Professional Experience

Decision Scientist @ Mu Sigma

Following are the projects I worked on at Mu Sigma

Analytical Projects

Product launch simulator for Japan’s largest beverage manufacturer

Used Agent Based Modeling to Construct a Bayesian network and identify customer’s decision
-We Analyzed behavioral patterns using conditional probabilities – ‘The Brain of the Agent’. <>-Created a simulator using agents with personalized behavior to predict sales, in different environments.

(Data Engineering, Data analysis, Statistical modeling, Visualization)

Sales Forecasting for a Fortune 200 UK based Retailer

Forecasted Sales Value & Volume at Product Sub-Group (PSG) & Store level, to be consumed by Product Finance, channel finance and FP&A
-Implemented ARIMA with a customized seasonal adjustment to increase accuracy by 5.6%.
-Engineered parallel processing for model building, scoring, and forecasting for ~2500 stores & ~3600 PSGs (~1 TB of data), using Hadoop and PySpark technologies.

(Data Engineering, PySpark, Data analysis, Parallel Processing, Forecasting, Time Series)

Built Business Intelligence Dashboards for a Fortune 500 Cosmetic manufacturer

Created 3 Powerful reports with sophisticated measures in Power BI: Sales, Web Traffic & Competitor
-Used MDX queries to pull filtered data from analytical data cube
-Created Python scripts to automate data load and transformation.

(Python, Hadoop, Data Wrangling, Vizualiation, Storyboarding)

Investigation for a Fortune 200 UK based Retailer

Understanding the journey of different elements in the marketing universe and mapping out data footprints at each step in the journey :Planning-> Request ->Generation ->Product Tagging ->Mailing /Customer Tagging -> Redemption
Data Validation, Pre-processing and Extensive Exploratory Data Exploration; Sharing key insights with business Forecast Integration
The integration of marketing elements increased forecast accuracy by 4.5%.

(HQL, Python, EDA, Data Validation, Documentation, Insight Generation & Presentation, Data Analysis, Machine Learning)

Academic Projects

Humana Mays Data Science Case Competition

Top 35 across all Universities in US Predicted vaccine hesitancy of US residents & leveraged analysis for personalized awareness campaigns • Used Feature selection and classification techniques with an accuracy of 85.6%.

Student Count Tracker

Created a student count tracker using OpenCV for the Technology and Gaming Club at Vellore Institute of Enginnering.

Education

University of Cincinnati

Masters in Science, Business Analytics

2021-2022

Courses: Statistical Models, Linear regression, Feature selection, dimensionality Reduction:PCA, SVD,Supervised & Unsupervised Machine Learning, Deep Learning, Time series & forecasting

Vellore Institute of Technology

Bachelors in Engineering Technology, Computer Science

2014-2018

Courses: Probability & statistics,Data Structure & Problem Solving, Database Management Systems, Object Oriented Programming, Management Information Systems