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Social Media Customer

Location:
Durham, NC
Posted:
December 27, 2020

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Resume:

VEDANT SAHAY

adizo3@r.postjobfree.com • +1-609-***-**** • Fremont, CA • GitHub • LinkedIn

EXPERIENCE

VISIT HEALTH

Senior Business Analyst

• Analyzing onboarding behavior as well as customer-centric activities such as customer acquisition & customer retention for our top 10 sponsors & developing a playbook using Amplitude, SQL & Power BI

• Responsible for sentiment analysis for ~1000 customer reviews using the Syuzhet package in R & identified the seasonalities in comments & feedbacks with forecasts & insights for the next business decision FRACTAL ANALYTICS

Consultant

• Developed linear regression models using R to evaluate the impact of the number of purchasers vs. product volume for Old Spice with a MAPE of ~16% while recommending actionable insights. Awarded Spot Award

• Spearheaded Spotfire solutions for optimizing marketing tactics for each targeted segment by examining their positive/negative customer sentiments & explaining their likelihood of considering a brand. Awarded the P&G Explorer award

• Setup one-stop solution for brand health, thereby facilitating new solution utilization by 60% in domains such as Pricing, Share Decomposition, E-commerce; Developed client proposals for new projects

• Transitioned Excel reports to Power BI dashboards for E-IMEA region for 5 categories with 18 brands

• Improved solutions with effective measures in distribution, pricing, shelving, & merchandising for the skincare category in the NA region. Positive NPS rating from the client for three consecutive quarters

• Examined Automation & Productivity gains using tools such as Excel & KNIME, saving ~310 hours every six months; technical facilitator for KNIME & Excel training Remote - Fremont

Aug – Oct’2020

Mumbai, India

2016 − 2019

ERICSSON

Cloud Engineer Intern

• Implemented ‘OpenStack deployment of Virtual Machines’ on Ericsson live network using a Web-based dashboard using RESTful APIs

Bangalore, India

Spring 2016

ACADEMIC PROJECTS

Loan Defaulters:

Implemented supervised learning (Logistic Regression & LASSO), predicted whether a customer would default on their repayment of the loan & supported business recommendations through unsupervised learning techniques(K-means). Compared five supervised learning algorithms via K-fold cross-validation, resulting in Logistic Regression with an accuracy of 86% as the best model iPhone 11 Sentiment Analysis:

Performed Network & Sentiment analysis using Twitter data for iPhone 11 & analyzed network centrality measures. Evaluated sentiment scores & identified seasonality in terms of customer tweet behavior. ‘Unboxing’ & ‘YouTube’ were the top terms in terms of Betweenness & Degree Centrality

NetJets (Capstone Project):

Processed & analyzed customer behavior patterns for a private charter organization, generating actionable insights into improving lead conversion to customers. Primary insight focused on social media activity & reducing the gap between acquisition in first vs. second campaign. Cleaned, processed, & modeled with Python & R, visualized in Tableau EDUCATION

Master of Science in Quantitative Management: Business Analytics, Marketing Track DUKE UNIVERSITY, THE FUQUA SCHOOL OF BUSINESS

Durham, NC

May 2020

Bachelor of Engineering in Computer Science

R.V. COLLEGE OF ENGINEERING

Bangalore, India

June 2016

TECHNICAL CAPABILITIES

Tools: R, Python, SQL, KNIME, Amplitude, MS Excel Databases: Nielsen, Crimson Hexagon Visualization: Spotfire, Tableau, PowerBI Certifications: Operations Analytics (License 36CY67PEVMZK), People Analytics (License NXCHUPYLKLSU), Customer Analytics

(License YN5JBX83LXZH) from Coursera (UPenn); Reporting in SQL (License 14201207) from DataCamp



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