Deepak Vadera Email & Phone Number
area 415
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Who is Deepak Vadera? Overview
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Deepak Vadera is listed as Data Science Leader, Heading App and GenAI Foundation Data Science at Meta, a with 136862 employees, based in Menlo Park, California, United States. AeroLeads shows phone signal with area code 415 and a matched LinkedIn profile for Deepak Vadera.
Deepak Vadera previously worked as Data Science Leader, Global Business Marketing at Meta and Decision Science Leader, International Marketing at Meta. Deepak Vadera holds Dual Degree - B.Tech + M.Tech, Chemical Engineering from Indian Institute Of Technology, Bombay.
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About Deepak Vadera
As a Data Science Leader at Meta, I spearhead a team of data scientists and analysts who harness the power of generative AI and machine learning to drive transformative insights and recommendations for our global business marketing creators' strategy and growth. With over 12 years of experience in analytics, data science, and team management, I am passionate about leveraging cutting-edge AI techniques to tackle intricate business challenges and deliver tangible outcomes. My expertise lies in applying generative AI models and causal inference approaches to optimize marketing campaigns, increase adoption of product features, improve creator sentiment, and ultimately propel revenue growth. I am committed to fostering a collaborative and innovative environment where data-driven insights fuel strategic decision-making, empowering our marketing teams to achieve their full potential.
Listed skills include Analytics, Financial Modeling, Statistical Modeling, Sas, and 18 others.
Deepak Vadera's current company
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Deepak Vadera work experience
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Data Science Leader, Global Business Marketing
CurrentHead of Global Business Marketing Creators Data Science Team
Decision Science Leader, International Marketing
Leading International Decision Science & Marketing Analytics team in London
Head Of Analytics And Fp&A, Stubhub International
- Heading the analytics team at Stubhub International - Owning end to end analytics around buyer fees, marketing, supply, customer service and product- Also managing cash flow on an interim basis- Reporting directly to CFO, Stubhub International
Senior Manager, Marketing Analytics
Led a team of onshore and offshore managers and analysts. Responsible for managing and measuring performance of all the NA regional eBay marketing campaigns including eBay's Loyalty program (eBay Bucks), retention programs and incentive campaigns. Specialties: Marketing Attribution, Data Science, Audience Strategy, DMP (Data Management Platform) based targeting, Team Management, A/B Testing
Associate Manager (Leadership Program)
ALDP (Analytics Leadership Development program)Selected for a two-year leadership development program that provides the participants with a rich development experience in Global Analytics through coaching, leadership & technical training courses and on-the-job training through four 6-month, analytics cross-team rotations. The rotations are designed to provide challenging leadership and business problem solving opportunities on important company initiatives. Rotation 1: Trust Analytics, San Jose, Feb 2014 - Aug 2014Worked on seller verification policies.Rotation 2: Buyer Experience Analytics, San Jose, Aug 2014 - Feb 2015Worked on Sign In and Registration product flows.Rotation 3: DE C2C Analytics, Berlin, March 2015 - August 2015Germany C2C business performance analyticsRotation 4: Pricing Analytics @Marktplaats, Amsterdam, September 2015 - PresentFeature pricing optimization, dynamic feature pricing
Senior Analyst
- Involved in tracking and forecasting Daily NA Business Performance and providing data driven insights to business partners and senior leadership to help take more informed business decisions - Developed a multi variable regression model to help predict impact of domestic performance and market currency variations on eBay’s Cross Border Trade - Carried out an extensive study on international listings visibility on eBay.com and provided recommendations to product managers on key initiatives which helped drive exports growth - Developed analytical frameworks for tracking key metrics and trends for eBay’s Global business with more than $70B of merchandise sold per year
Associate
Operational Assumptions - Call Capacity Prediction• Developed regression model in SPSS to predict on-field executed calls by a rep based on targeting, geographical and environmental parameters • Devised a methodology involving k-means clustering and discriminant analysis to forecast change in optimal detailing for a rep due to restructuring and re-alignment of the current sales team structureDisruption Impact Assessment• Analyzed impact of disruption due to sales team re-structuring on sales and GCV in MS-Excel.• Profiled US territories based on parameters such as average rep to doctor relationship days , high priority targets, drive distance, population, etc. to predict the dip in call capacity Sales Force Sizing and Sales Strategy Development• Carried out headcount optimization for a sales team to incorporate detailing to a newly launched drug• Recommended sizing and call frequency scenarios using SQL to maximize profit Awards/Accomplishments• Received Applause Award for outstanding performance on Sales Force Sizing project
Intern
Project title - 'Batch Scheduling and Optimization’Formulated the batch scheduling problem to manage storage of waste streams and feeding to different treatment unitsDeveloped an optimization tool and solved the generated MINLP problem using TomlabAccomplished 75 % reduction in operational cost based on optimized results
Summer Intern
Topic : `Industrial Process Design for Production of Food Ingredients' 1.) Innovated a design for the production process of mineral fortification food ingredients 2.) Performed indepth physical characterization of material as a function of process conditions 3.) Conducted pilot trials on the machine prototype to monitor the process parameters and 4.) Recommended possible modifications in the design Consolidated results were used to revamp the production plant
Manager (R&D)
Manager of R&D team - Biosynth (an initiative to design and install a self sustaining Biodiesel plant in IIT campus)Supervised a team of 12 students for the development and installation of a self sustained bio-diesel producing plant in the institutePerformed bio-diesel testing to meet ASTM standardsConstantly interacted and collaborated with foreign industries and universities to tackle technical problems faced
Colleagues at Meta
Other employees you can reach at metadownhole.com. View company contacts for 136862 employees →
Chris Sperry
Colleague at MetaSeverna Park, Maryland, United States
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JC
Jayde C.
Colleague at MetaGreater Richmond Region, United States
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VS
Vikram Sharma
Colleague at MetaLondon, England, United Kingdom
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AM
Allie Mersch
Colleague at MetaAustin, Texas, United States
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FA
Felbert A.
Colleague at MetaBurauen, Eastern Visayas, Philippines
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AZ
Alayna Zimmerman
Colleague at MetaBirmingham, England, United Kingdom
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CK
Cj Kaur Chhabra
Colleague at MetaDublin, County Dublin, Ireland
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YG
Yohannes G.
Colleague at MetaSilver Spring, Maryland, United States
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RM
Rose Mayo
Colleague at MetaTorreón, Coahuila, Mexico
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NN
Nadia Nashash
Colleague at MetaKuwait City, Al Asimah, Kuwait
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Deepak Vadera education
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Indian Institute Of Technology, Bombay
Frequently asked questions about Deepak Vadera
Quick answers generated from the profile data available on this page.
What company does Deepak Vadera work for?
Deepak Vadera works for Meta.
What is Deepak Vadera's role at Meta?
Deepak Vadera is listed as Data Science Leader, Heading App and GenAI Foundation Data Science at Meta.
What is Deepak Vadera's phone number?
AeroLeads has found 1 phone signal(s) with area code 415 for Deepak Vadera at Meta.
Where is Deepak Vadera based?
Deepak Vadera is based in Menlo Park, California, United States while working with Meta.
What companies has Deepak Vadera worked for?
Deepak Vadera has worked for Meta, Ebay, Marketrx, A Cognizant Company, Eth Zurich, and Purac.
Who are Deepak Vadera's colleagues at Meta?
Deepak Vadera's colleagues at Meta include Chris Sperry, Jayde C., Vikram Sharma, Allie Mersch, and Felbert A..
How can I contact Deepak Vadera?
You can use AeroLeads to view verified contact signals for Deepak Vadera at Meta, including work email, phone, and LinkedIn data when available.
What schools did Deepak Vadera attend?
Deepak Vadera holds Dual Degree - B.Tech + M.Tech, Chemical Engineering from Indian Institute Of Technology, Bombay.
What skills is Deepak Vadera known for?
Deepak Vadera is listed with skills including Analytics, Financial Modeling, Statistical Modeling, Sas, Business Strategy, Business Development, Market Research, and Leadership.
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