Chirag Bhatia
Manager, Acquisition Marketing Analytics at TrueCar, Inc.- Claim this Profile
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Bio
Credentials
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Google Analytics Individual Qualification
GoogleDec, 2017- Nov, 2024 -
Microsoft SharePoint Intermediate Administrator
Austin Community CollegeJul, 2017- Nov, 2024 -
Certified SAS Base Programmer
SimplilearnOct, 2016- Nov, 2024 -
Data Science with R, SAS and Excel
SimplilearnSep, 2016- Nov, 2024 -
The Data Scientist’s Toolbox
Coursera Course CertificatesMar, 2016- Nov, 2024 -
Microsoft Technology Associate: Database Fundamentals
MicrosoftFeb, 2015- Nov, 2024
Experience
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TrueCar, Inc.
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United States
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Technology, Information and Internet
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300 - 400 Employee
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Manager, Acquisition Marketing Analytics
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Mar 2022 - Present
• Led attribution analysis, strategy formulation, and tactic implementation to improve marketing effectiveness and yield• Provided analytic insights, built scalable solutions and self-serve platforms to assess marketing initiatives and develop better understanding of marketing performance across Brand, Email, Social and Performance Marketing channels
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Manager, Finance & Business Analytics
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Apr 2021 - Mar 2022
• Led centralized analytics function for the C-level executives by creating cohesive narratives using disconnected data• Ran quantitative analysis and the presentation of data to see beyond the numbers and helped inform, influence, support, and execute strategy and profitability decisions
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Senior Analyst, Finance & Business Analytics
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Oct 2019 - Apr 2021
• Supporting leadership with real-time analysis, insights into bottoms-up performance and leading the development of scalable automated reporting projects• Modeling data and metadata to support ad-hoc reporting, improving corporate reporting frameworks and creating compelling data visualization to drive operational efficiency• Automating high-impact KPI delivery through Tableau dashboards and standardized datasets in AWS Redshift
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Financial Operations Analyst
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Jun 2018 - Oct 2019
• Developed forecasting models and dashboards used in internal and external monthly reporting leveraging Microstrategy, Tableau, AWS Redshift, S3, EC2 and Salesforce• Responsible for creation and maintenance of weekly and monthly reports emphasizing operational/financial performance metrics, historical results, budgets, forecasts, and in-depth trend analysis.• Leveraged Time-series and Linear Regression models to build monthly close rate forecasting algorithm for TrueCar's biggest clients including AutoNation• Ran actual to budget/forecast variance analyses while highlighting risks/opportunities • Supported the ongoing maintenance and evolution of the financial planning processes and billing model transitions across US states• Assisted with logic building and architecture setup of Anaplan incentive comp computation Show less
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Austin Energy
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United States
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Utilities
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700 & Above Employee
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Data Scientist/Consultant Intern
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Jun 2017 - Dec 2017
• Executed Text Analytics and Sentiment Analysis on internal customer survey data and J.D. Power NPS verbatim; presented recommendations to Customer Care upper management for identifying gaps in business processes and improving current practices • Developed a Price Model using Linear Regression to estimate price per linear foot for Austin Energy OSER Chilled Water Project • Published a consulting report on how Customer Experience (CX) takes care of Customer Satisfaction (CSAT); executed a benchmarking study of Austin Energy with its peer set and most improved brands on the J.D. Power CSAT index in terms of delivering CX • Developed performance metrics for Contact Center and reviewed KPI's related to customer satisfaction at best practice utilities • Built the Vice President ScoreCard [Corporate Tableau Dashboard] incorporating 100+ KPIs from Oracle database, MS SharePoint, Workforce Optimization (WFO) tool, Avaya Suite, IBM Informix, and SurveyMonkey • Worked with Customer Care Services’ Vice President in strategic planning and performance improvement implemented across multiple departments inside Austin Energy • Formulated questionnaire & interviewed C-Level executives from most improved utility brands to combine knowledge for high-level marketing & business insights • Presented leadership with feedback on opportunities for optimization based on performance indicators and identified gaps in the current business processes leading to 30% increase towards Customer Satisfaction score Show less
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Future Market Insights
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United States
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Market Research
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200 - 300 Employee
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Quantitative Research Analyst/Consultant
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Jul 2015 - Jun 2016
• Forecasted market data by calculating Y-o-Y and CAGR, executed competitor and go-to market strategy analysis for 10+ Fortune 500 clients in a year • Performed quantitative analysis; aggregated industry trends, executed market-share analysis, value/volume analysis and distribution channel analysis • Prepared reports, dashboards, interactive reporting charts, graphs and tables as part of industry and business analysis reports to support client business initiatives • Analyzed consumer and market dynamics for clients ranging from multiple domains including Information & Communication Technology, Consumer Product, and Food and Beverage • Supported new business development efforts by managing initial proposals and research scope conceptualization • Prepared end-to-end industry and business analysis reports for Gogo - world's biggest Inflight Wi-Fi service provider and a major European Yacht Charter firm, leading to 10% increase in their annual profits • Received client appreciation for 3+ consulting projects in a year and promoted to mentor & train fellow associates in performing extensive market research Show less
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Task Consultants
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Pune Area, India
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Research Analyst
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Aug 2014 - May 2015
• Researched and devised a new method to detect Diabetic Retinopathy at earliest stage possible; the same research later adopted by Google AI team • Applied machine learning, data mining and image processing algorithms for medical application • Extracted the blood vessels from retinal images of diabetic people and compared their features to other healthy retinal images • Classified the data using supervised algorithms such as Support Vector Machine (SVM), Bayes Classifier and KNN classifier on the test data set • Tested the program on 40 known samples and achieved an classification accuracy of 70% • Received 100% sponsorship for the research project Show less
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Education
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2016 - 2018
The University of Texas at Dallas
Master of Science (M.S.), Business Analytics -
2011 - 2015
University of Pune
Bachelor of Engineering (B.E.), Information Technology
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