Data Scientist Consultant Resume

SUMMARY:

M.S. in Industrial Engineering (Operation Research and Statistics) with strong background of applied statistics, Machine Learning and Data Analytics
Strong people management experience (Lead workforce of 100 team members)
Analytical experience in the following industries: Banking, Retail, Consumer goods, Sales, Marketing, Attribution and Manufacturing
Sound knowledge of advance regression (Lasso and Ridge), Clustering, Decision Tree,, Random Forest and multivariate Data analysis
Hands on experience in advance data visualization Like Tableau, and hands on experience in Machine learning using SPSS (4 Years), SAS (8 Years), and R (two Years)
Excellent analytical and problem solving abilities with strong project management skills.
Expert in converting ambiguous problem in Analytical business solution, Hypothesis creation and data unification
12 year experience in managing different operation in Analytics and business intelligence - international and domestic
Experience of working with International and Indian client

TECHNICAL SKILLS:

SAS, SPSS, R, Tableau, SQL, CRM, SAP HANA Module (S&D) understanding, Sales force and Machine Learning (LASSO, GBM, and Cluster)

PROFESSIONAL EXPERIENCE:

Confidential

Data Scientist Consultant

Responsibilities:

Confidential

Data Analytics and Data Visualization Leader

Responsibilities:

Prediction of pipe line
Prediction of conversion ratio
Revenue and order spread analysis
RFQ spread analysis
Customer segmentation, Intelligence and customer analysis
Forecasting of Revenue and sales
Process Analysis and optimization
Yield and defect analysis
Production data analysis
Raw Material analysis etc
Increase the yield of the factory by 5% to 6% by applying an analytical model on manufacturing process
Prediction of sales and revenue based on the CRM and SAP ERP data
Creation of business rules based on analytical insight to ensure the accuracy in forecasting
Clear visibility of the data strategy to enable the transparency in data
Creation of BI platform for manufacturing plant
Creation of BI platform SCM team
Creation of BI platform CRM team
Trained 4 people for data mining, business intelligence techniques and tools

Confidential

Manager Research and analysis

Responsibilities:

Identify the critical factor impacting customer satisfaction for new products
Customer Subscription analysis for Machine control data
Dealer technical Assistance center data analysis to increase the problem resolution
Machine data Analysis for early defect prediction
Attrition analysis
Employee Sentiment analysis
Geo - Spatial data analysis for dealer location and warehouse location
Parts price rationalization
Reduce the problem resolution time of the three platforms by 7% - resulted in higher customer satisfaction
Created the platform for machine data analysis to detect the defect in early period
Parts price rationalization resulted in saving of $9M in three years
Identify the main drivers for satisfaction in each region by product line
Reduced the attrition by 5% by providing the timely insight to the appropriate stakeholders
Built a portfolio of $12M for India Business within a year
Built a data frame work for Enquiry management system and dealer management system
Trained 15 employees in Data mining Techniques and tools

Confidential, Atlanta GA

Assistant Analysis Manager

Responsibilities:

Response Model for customer to identify the customer with higher probability of responding
Creation of customer segment based on their customer behavior
Cross sell model for customer to improve the sales of complementary products
Other Data Analysis
Customer Attrition analysis
Pre campaign and post campaign analysis
Increased the customer response for campaign by 1.5% and reduce the cost of the campaign by $0.2M
Customer Segment creation
Identified the factors impacting the customer Attrition
Main spoke person between the business and India team
Trained 3 people in Data mining techniques and tools

Confidential, Seattle, WA

Senior marketing research Analyst

Responsibilities: