Nitish Kumar Singh +1-213-***-**** acvkzd@r.postjobfree.com

SUMMARY

Analytics professional with 4+ years of cross functional experience working on advanced analytics projects for marketing, finance and strategy teams; expertise in data analysis and statistical modeling VISA: 36 months STEM OPT

EDUCATION AND TECHNICAL SKILLS

University of Cincinnati, Carl H. Lindner College of Business Cincinnati, Ohio

Master of Science, Business Analytics GPA: 3.9/4.0 Expected: June 2016

Indian Institute of Technology Delhi New Delhi, India

Bachelor of Science, Mechanical Engineering August 2010

Technical Skills: R Python SAS (Base and statistical operations) Advanced Excel VBA SQL Tableau

ACADEMIC PROJECTS

Search query relevance rating (e-commerce): Employed Latent Semantic Analysis, Latent Dirichlet Allocation, and word embedding, using NLTK library and scikit-learn machine learning libraries along with information retrieval concepts and model based on machine learning techniques like random-forest, xgboost. Tools: Python, R

Quantification of restaurant hygiene (Insurance startup): Acquired data from external API for restaurants inspection data and used their inspections outcomes to assign health score to each restaurant. Tool: Python

Digit recognition in image (Deep learning): Developed multi layered perceptron (MLP) and convolution neural net models to identify handwritten digits in images with 98% accuracy. Tool: Python

Webpage classification (Natural Language Processing): Developed model to classify web articles into evergreen or ephemeral pages based on bag of words related features. Tool: SAS-EM, R

Credit scorecard: Model developed based on lendingclub.com data using techniques like logistic regression, L2 regularization, CART and SVM. SVM gave the best model but CART model was more interpretable one. Tool: R

Direct mail targeting: Designed a model utilizing techniques like multiple regression, random forests to predict donations by individuals to improve future mail marketing strategy for non- profit organization. Tools: R, SQL

Enterprise analytics (Student Consultant): Designed and implemented analytics methodology to answer key questions related to agency recommendations, call volume, call planning, and services with United Way.

EXPERIENCE

Novartis AG Business Analyst, Marketing Science (October’13-July’15) Hyderabad, India

Analytics advisory to global business strategy team and brand directors on forecasting and strategy projects for contact lens and lens care solutions portfolio with Alcon Vision Care.

Capacity planning: Developed model for entire contact lens portfolio with utilization estimated using Monte-Carlo simulation method; recommendations made leading to approval of 6 additional production lines (costing $300MM)

Promotional spend optimization: Created marketing-mix models for different brands using SAS to determine ROI for each channel; recommendations made on promotional spending mix to improve revenue by 4%

Product cross-sell strategy: Utilized transactional data to determine most common pairs of contact lens and lens solution to help cross-selling strategy and map out the competing products; model based on apriori algorithm developed in R

Forecast and valuation: Built forecasts and valuation models for portfolio of existing and in-line products

Market estimation: Designed and implemented methodology to estimate market size for contact lenses and solution

Sales Pitch Effectiveness: Text mining technique used in R to determine factors which proved effective during sales calls

Tata Consultancy Services (Nielsen MSci) Statistical Analyst (January’13-October’13) Bangalore, India

Redesigned standard operating procedures with use of SQL and SAS for universe estimation improving productivity by 60%; Transferred most of the procedures from excel to SAS; built automated VBA based tool to detect outliers in data.

GlaxoSmithKline Knowledge Center Senior Associate (March’11-January’13) Gurgaon, India

Portfolio valuation and risk estimation: Incorporated risk adjusted valuation in sales forecast models to estimate risk associated with each product development; this helped accelerate the ideation process for products

Time series forecast: Automated tool built for established drugs, which was replicated for 6 other countries

Customer segmentation and retention analysis: Built a model using clustering algorithm in R to segment physicians; model to predict churn rate for certain segments based on Rx data

Project Management: Led 2 associates for projects related to emerging markets

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