Computer Science Supply Chain

Rajiv Nandan Sagi

Address: *** ****** **** **********

*********@*****.*** • phone #919-***-****

EDUCATION

University of Cincinnati, Carl H. Lindner College of Business, Cincinnati, Ohio Expected: August 2016

Master of Science, Business Analytics (GPA – 4.0)

Birla Institute of Technology & Science, Pilani, Rajasthan, India June 2012

B.E. (Hons): Computer Science

EXPERIENCE

LatentView Analytics Pvt. Ltd., Chennai, Tamil Nadu

Senior Business Analyst: September 2014 – June 2015

Key Performance Indicator Analysis –

oLed the team in visualizing and building wireframes of various performance indicators for a leading global beverage manufacturer to highlight growth patterns and compare with those of the competitors

oProvided end users across all functions (Finance, Marketing, Operations and Quality Control) with visually appealing, intuitive reports to identify performance at various market and segment levels and make strategic decisions accordingly

Social and Digital Media Analysis –

oAnalyzed product campaign effectiveness and product penetration in paid, owned and earned media for a leading global food and beverage manufacturer

Business Analyst: August 2012 – August 2014

Demand Forecasting Models –

oDeveloped demand forecasting models using time series techniques such as ARIMA and Holt-Winters to forecast the sales for a leading global beverage manufacturer, taking into account seasonality, promotions and geographical locations to provide improved supply chain planning

Social Media and Sentiment Analysis –

oPerformed sentiment analysis for a global food manufacturer to understand the specific demand spaces and subsequently launch new products which fit into the same

oUsed natural language processing techniques and n gram generation for data classification

oBuilt lexicons with semi-manual rules to identify complex syntactic patterns and subjectivity in the data

Risk Analysis –

oBuilt a logistic regression model for a non banking financial company to predict whether the potential customers are liable to have problems repaying their loans, based on their demographics and credit history

PROJECTS AND AFFILIATIONS

LatentView Analytics Pvt. Ltd. December 2014 - March 2015

Lead Analyst, Pro-bono Analytics Consulting

Worked with a non-profit healthcare organization “SughaVazhvu” and helped the firm strategize and improve its operational efficiency

Procter & Gamble January 2016 - April 2016

Student Consultant

Assessed the feasibility of automation of P&G IT planning process by predicting key product attributes.

Used machine learning techniques like Classification Trees and Random Forest and improved the existing prediction accuracy by 3%

SKILLS

Programming: Python, C Statistics: R, SAS

Databases: SQL Server, Teradata Other Platforms: Hadoop, Hive, Tableau, MS Excel

Contact this candidate