Sai Gayatri Narne
***.*****@*****.*** LinkedIn **0 Senator Street, Brooklyn, NY 11220 860-***-**** SUMMARY
Analytics professional with MBA and MS degrees coupled with 2 years of experience. Highly skilled at providing data-driven insights and improving business processes. Expertise in Tableau, SQL, Python. EDUCATION
MS in Business Analytics and Project Management, University of Connecticut, US, GPA: 3.89/4.00 Jan 2018 – May 2019 MBA in Global Business, Coventry University London Campus, UK, Distinction Sep 2014 – Nov 2015 BE in Electronics and Communication Engineering, Anna University, Chennai, India, GPA: 7.56/10.00 Aug 2010 – Apr 2014 PROFESSIONAL EXPERIENCE
Fejlett Technologies, Visakhapatnam, India (Client: Tea Trails India) Role: Business Analyst May 2016 – Nov 2017
Identified, analyzed business and client requirements. Acted as a liaison between management and technical teams
Created and executed optimized SQL queries to extract data from multiple sources such as Finance, Sales, Marketing
Introduced concept of Tea-Food pairing across the cafes by implementing market-basket analysis on sales data to identify cross-selling and up-selling opportunities
Reviewed customer data using Tableau to identify customer behaviors, profiles across cafes in the country
Improved overall sales by 15% by deploying customer segmentation techniques and analyzing trends. Worked directly with the Marketing Head to roll out new personalized marketing campaigns to target each customer segment Vivid Resources Private Limited, Visakhapatnam, India Role: Business and Sales Development Analyst Dec 2015 – Apr 2016
Formulated strategies to generate business leads and expand business presence. Signed-up 2 franchisees in 4 months
Led analysis on sales, expenses data of different outlets and built interactive dashboards on Tableau to provide insights
Managed core business development activities - generating pitch decks, communicating with prospective clients ACADEMIC EXPERIENCE
LIMRA, Hartford, CT
Role: Graduate Data Analytics Consultant Jan 2019 - Present
Analyzing a survey dataset and building classification models using Tableau and SAS to identify most likely deferred annuities buyers. Conducted extensive data cleaning during this process
Developing insights on factors influencing people’s decisions to buy deferred annuities using data and secondary research. Defining profile of deferred annuity buyers based on insights, formulating recommendations to target them Academic Projects:
Sentiment Analysis: Used text-mining techniques to categorize reviews into 3 categories of an e-commerce website
Purchase Order Fulfillment: Automated manual process of order fulfillment by creating fully functional database in SQL
Customer Churn: Applied classification techniques to analyze customer churn and predicted retained customer profile TECHNICAL KNOWLEDGE
Certification: Tableau Desktop Specialist, Data Analysis with Python, Machine Learning with Python, SQL for Data Science Techniques: Linear/Logistic Regression, K-Means, Decision Trees, Random Forest, SVM, Clustering, KNN, Data Mining, Text Mining, NLP, Time Series, Market Basket Analysis, Visual Analytics Tools: Tableau, Oracle SQL 11g, Python (Pandas, Numpy, Scikit-Learn), R, SAS (Enterprise Miner, JMP), MS Visio, Advanced Excel
(Pivot Tables, V-lookup), MS Project
ACHIEVEMENTS
Winner of inter-university presentation competition at Coventry University London, 2015
Speaker – Graduation ceremony at Coventry University London, 2015