Gaurav Mehendiratta
Boston
Summary
- Data Science and Marketing Analytics Leader with over 10 years of experience in global companies such as Spotify, Ericsson, and TetraPak. Proven track record in managing multi-million dollar projects, executing MarTech strategies, and developing data science products. Expertise in driving change management and monetizing data solutions across B2B and B2C sectors. Recognized speaker at data conferences in Europe, with a focus on storytelling and change management.
Overview
14
14
years of professional experience
Work History
Data Science Manager
Kayak
Copenhagen
09.2022 - Current
- + Working closely with the CMO, and reporting to VP, Performance Marketing & Analytics, and other executive leaders
- + Develop the frameworks and roadmaps with the stakeholders to align on priorities and build robust measurement solutions
- + Managing a high-performing team of data scientists on a day-to-day basis working on marketing measurement challenges within Marketing Mix models, A/B testing & Causal impact
- + Designing a Lifetime Value (LTV) model to predict the expected RoAS lift of newly acquired customers using tree-based M-L algorithms
Independent Data Science Consultant
Detabyte
Stockholm
08.2018 - 09.2022
- Independent Data science consultant with roles from hands on Data scientist, Growth consultant to Data science Manager for clients like Spotify, Sveriges Television Handelsbanken and TetraPak
Data Science Manager
Tetrapak
Lund
09.2020 - 07.2021
- + Drove 2 projects on Design to value and Investment optimization
- + Audited 4 projects within Safety stock optimization, Leads and Sales pipeline, Issue classification with an audit on Technical, collaboration, advocacy & adoption aspects
- + Worked on framework for monetization of data science as service
Marketing Analytics Manager
Kindred
Stockholm
11.2019 - 09.2020
- + Headed a team of 6 Data analysts and data engineer working with use cases like Anomaly detection, Conversion lift test, Influencer impact score, Data management platform (DMP) integration
- + Implemented agile ways of working, status trackers, best practices, business review, internal communication channels to drastically improve team's visibility, efficiency and stakeholder collaboration
Data Scientist
Spotify
Stockholm
05.2019 - 11.2019
- + Worked within experimentation, AB-tests & exploratory investigations for scalable data driven product development
- Spotify was implementing a strategy to combine podcasts and music to create a radio like experience for customers
Analytics & Data Insights Lead
Ericsson
Stockholm
02.2015 - 08.2018
- Teach to Fish -> Analytical Infrastructure & Adoption
- + Lead the Global Analytics team for best-in-class analytical tools infrastructure, and ensuring high Martech adoption
- Digital Transformation & Evangelizing Data Insights
- + Heavily involved in Business Development & Strategy by conducting trainings, building industry best practices, KPI frameworks, Customer journey models
Data Scientist - Digital Marketing
Boozt Fashion
09.2011 - 02.2015
- + Rocketed Boozt's profits and revenue (+800% in 3 years) by building MMM, numerous business cases across purchasing, customer loyalty, marketing etc
- + Built automated CLV solution based on historical cohort, and survival analysis
Education
M.Sc - Mathematics
Lund University
Lund, SwedenM.Sc - Informatics
University College of Borås
BoråsB.Tech - ICT
Dhirubhai Ambani Institute of Information and Communication Technology
GandhinagarExecutive Data Science Specialization -
Johns Hopkins University
People Operations - Customer and Operations Analytics
Wharton School, University of Pennsylvania
Skills
- Business development
- Digital strategy
- Agile methodologies
- Python programming
- SQL database management
- Machine learning techniques
- A/B testing
- Google Analytics proficiency
- Tableau
Accomplishments
- Drove Analytics Unit at Boozt fashion for 3.5 years, with achievements like building Automated Marketing budget allocation system --> Successfully in use for 3+ years, while the Topline Revenue grew 800%. The system used Marketing mix models combined with CLV prediction and Attribution models for all marketing activities including above the line (TV, radio, print) and digital marketing.
- Built & Lead the data driven Customer retention (loyalty) strategy at Boozt, to bring it down by 30% inside 2 years
- Increased Adoption Rate of Analytics platforms by 500% within 2 years, across Ericsson Global Marketing, Business & Market Areas
- Member of the Core Team (~10 members) in Implementing IBM Global Delivery Framework across vertical Managed Services (>250 FTE), based on principles of Lean
- Audited DS projects in development/production with total opportunity of 400 mi euros and model empirical value of 150 mi euros
- Pursued multiple Leadership Programs at IBM & Ericsson.
- Implemented agile ways of working, path to business value set ups for clients to drastically improve visibility, efficiency and stakeholder collaboration
- All India Rank 14 at Mathematics Asiad, 98’, awarded with a silver medal.
Personal Information
Title: Data Science Manager
Languages
- English
- Swedish
- Hindi
- English
- Swedish
Timeline
Data Science Manager
Kayak
09.2022 - Current
Data Science Manager
Tetrapak
09.2020 - 07.2021
Marketing Analytics Manager
Kindred
11.2019 - 09.2020
Data Scientist
Spotify
05.2019 - 11.2019
Independent Data Science Consultant
Detabyte
08.2018 - 09.2022
Analytics & Data Insights Lead
Ericsson
02.2015 - 08.2018
Data Scientist - Digital Marketing
Boozt Fashion
09.2011 - 02.2015
M.Sc - Mathematics
Lund University
M.Sc - Informatics
University College of Borås
B.Tech - ICT
Dhirubhai Ambani Institute of Information and Communication Technology
Executive Data Science Specialization -
Johns Hopkins University
People Operations - Customer and Operations Analytics
Wharton School, University of Pennsylvania