Project Management Sales

SANTOSH SRIVATSA MYSORE VASUDEVAN

*** **** ******, ********, ** 06106 959-***-**** *******.************@*****.*** LinkedIn GitHub

EXECUTIVE SUMMARY:

Analytics enthusiast with over 3 years of experience in collaborating with product, marketing and finance teams to draw actionable insights. Facilitated efficient business decisions by building robust statistical models. Expertise in data analytics, business intelligence, data science and marketing analytics; proficient in R programming and SQL.

EDUCATION:

University

Degree

Major

GPA

Location

University of Connecticut

Master of Science

Business Analytics and Project Management

3.89/4.0

Hartford, CT

RV College of Engineering

Bachelor of Engineering

Instrumentation Technology

3.50/4.0

Bangalore, India

WORK EXPERIENCE:

University of Connecticut School of Business Hartford, CT

Graduate Teaching Assistant- Data mining and Business Intelligence Dec 2016 – Present

Mentored students by teaching the concepts of time series forecasting and text mining.

Created video tutorials for students on important concepts using SAS.

University of Connecticut – Women’s Center Storrs, CT

Student IT Systems Specialist Aug 2016 - Dec 2016

Scheduled VAWPP (Violence against women prevention program) workshops for freshman students and assigned Peer facilitators.

Performed Sentiment Analysis and Topic Modeling on the feedback form to assess the impact and effectiveness of the workshop.

Yokogawa Electric Abu Dhabi, UAE& Bangalore, India

Project Engineer: Operations and Energy Analytics Jul 2013 – Nov 2015

Built an anomaly detection system for early detection of abnormalities in the production processes by analyzing plant data.

Investigated data inconsistencies such as outliers and seasonal trends through cross validation of collected data against historical data.

Interpreted trends in sales and inventory using reports and dashboards and tracked inventory at warehouse locations.

Created Tableau dashboard for senior management for measuring data quality and to track KPI’s to aid strategic decision making.

Developed a knowledge based recommender system in R, for the marketing team to strategically enhance customer targeting.

Developed SQL scripts for database activities like detecting page fragmentation and for index maintenance.

Analyzed the verbatim responses to generate actionable insights through ad hoc analysis and dashboards.

Analyzed utilities data, proposed solutions to install energy efficient systems and performed cost benefit analysis using Excel.

ACADEMIC PROJECTS:

Marketing Analytics: Direct Mail Marketing

Developed machine learning classification models to target potential buyers of antiques via a direct mail marketing campaign. Proposed model reduced marketing costs by 59% when compared to the baseline model.

Recommender Systems: Amazon Fine Food Reviews

Implemented User based and Item based collaborative filtering techniques to recommend products to users based on the reviews and ratings on Amazon.com.

Predictive Analytics: House price estimation (Kaggle data challenge)

Developed machine learning models such as Random Forest and Gradient Boosting to predict the selling price of a house using R.

Time Series Forecasting: Forecast Sales of Rossmann stores (Kaggle data challenge)

Performed Panel data analysis in R and used the random effects model to forecast the sales of 1115 Rossmann stores.

Customer Analytics: Analysis of the factors affecting the tipping behavior of yellow taxi customers in New York City Built Tableau dashboards to visualize the impact of driver shift change during peak hours and the billing software on tipping.

Survival Analytics: Predicting Employee Attrition

Built Cox regression model to determine the hazard ratio and analyzed the factors which lead to employee attrition in a pharma company.

Credit Analytics: Lending Club Loan data

Built predictive models to predict the defaulters and analyzed the major factors responsible for it.

Behavioral Analysis: Stack Overflow content quality assessment

Queried answers to questions for a specific topic and built a cumulative link model to rank the answers based on various factors.

TECHNICAL SKILLS:

Programming and Tools: R, Python, Tableau, SQL, Google Analytics, Excel solver, SAS Base, SAS Enterprise Miner, SAS JMP

Modeling Techniques: Linear regression, Logistic regression, Decision Trees, Neural networks, Bagging, Gradient Boosting,

Random Forest, Time Series Forecasting, Hypothesis testing, A/B testing, Natural Language Processing, Market basket analysis,

K-means & Hierarchical Clustering, Support Vector Machines (SVM), Survival analysis, Recommender systems, Text mining.

Project Management: MS project, WBS, Gantt chart, Earned Value Analysis.

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