Yogesh Kandlur

Yogesh Kandlur Email and Phone Number

Vice President of Data Science and Data Products @ Chargebee
California, United States
Yogesh Kandlur's Location
Fremont, California, United States, United States
Yogesh Kandlur's Contact Details
About Yogesh Kandlur

I am a VP of Product Analytics at Chargebee, a leading subscription management and billing platform. With over 15 years of progressive experience in analytics, I have positioned organizations for consistent improvement in key revenue drivers, including consumer retention, experience, and acquisitions. I have achieved this throughout my career at PayPal and eBay by spearheading the development of powerful analytics programs and organizations that enabled billions in revenue growth.My mission is to democratize and socialize data across the enterprise, shifting the priorities of analytics teams from reactive business request management to proactive outcome-driven insight generation. I introduce self-service analytics tools and enhance data literacy across all levels and functions. I also champion the evolution of analytics from descriptive and diagnostic to prescriptive and predictive, delivering data-driven recommendations that win the buy-in of executive leaders and stakeholders. Moreover, I build high-performing global analytics teams by recruiting, nurturing, and appointing single-threaded leaders who embody the principles of radical candor, feedback, and autonomy. My core competencies include analytics program development, consumer retention and acquisition, revenue growth, product optimization, executive buy-in generation, cross-functional team leadership, technology and process innovation, and data storytelling.

Yogesh Kandlur's Current Company Details
Chargebee

Chargebee

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Vice President of Data Science and Data Products
California, United States
Website:
chargebee.com
Employees:
1184
Yogesh Kandlur Work Experience Details
  • Chargebee
    Vice President Of Data Science And Data Products
    Chargebee
    California, United States
  • Chargebee
    Vp Of Data Science And Data Products
    Chargebee Apr 2024 - Present
    San Francisco, California, Us
  • Chargebee
    Vp Of Product Analytics
    Chargebee Nov 2022 - May 2024
    San Francisco, California, Us
  • Paypal
    Sr. Director Of Cia (Checkout, Instrumentation, Identity, And Authrate) Analytics
    Paypal Oct 2021 - Sep 2022
    San Jose, Ca, Us
    PayPal is a leading financial technology company that delivers digital payment solutions to over 200 nations worldwide. Here, I was promoted to this role after steering the restructuring of the Checkout, Instrumentation, Identity, and Authrate teams into the CIA Analytics team. I was then tasked to oversee this global team of 84 product analysts, data scientists, product managers, and data engineers. My first strategic initiative following my promotion was to enable the improvement of the consumer selection rate of PayPal among alternative payment options. I played an instrumental role in this initiative by directing the establishment and implementation of the consumer selection KPI. I then oversaw the delivery of data-based strategies for optimizing the consumer selection rate. Finally, I partnered with the engineering and product divisions to deploy these strategies. To further promote the adoption of our products, I influenced initiatives to refine other facets of the consumer experience. For example, I enabled seamless login experiences by steering programs related to password-less experience development, signup platform migration, and multi-factor authentication.
  • Paypal
    Director Of Checkout-Payments, Authrate, Strategic Merchant Analytics, And Instrumentation
    Paypal Sep 2013 - Oct 2021
    San Jose, Ca, Us
  • Paypal
    Senior Manager, Payments Intelligence And Partnerships
    Paypal Aug 2011 - Aug 2013
    San Jose, Ca, Us
  • Ebay
    Manager Of Statistical Modeling
    Ebay Aug 2007 - Jul 2011
    San Jose, Ca, Us
    PROMOTED FROM: Statistician 3 (Aug 2007 – Sep 2009) As a Fortune 500 ecommerce company, eBay relies on its analytics team to drive the continuous optimization of its consumer experience and platform. As the Manager of Statistical Modeling, I spearheaded the development and reporting of actionable insights that powered this optimization. I also guided statistical analytics personnel on utilizing statistical software, such as SAS, SPSS, and SQL, to conduct predictive modeling and multivariate analysis. My crowning achievement here was playing a key role in the research team that defined a structured A/B Testing Process, which was featured in the Harvard Business Review (HBR). Moreover, I had an instrumental role in developing a roadmap that yielded millions in search-based revenue. I accomplished this by devising Machine Learning (ML) models that evaluated consumer and merchant attributes, product ranking, and actual purchase data. This enabled us to identify prospects with the intent to buy. Key
  • University Of Cincinnati
    Graduate Assistant (2005-2007)/Research Assistant (2006)/Graduate Student Assistant (2005)
    University Of Cincinnati 2005 - 2007
    Cincinnati, Ohio, Us
    • Analyzed survey data statistics and assisted in implementing plans to enhance the effectiveness of the alternative educator’s license study and GEARUP federal program. Utilized structural equation modeling and sampling methods to perform data and statistical analysis on demographic factors, retention levels, and teacher effectiveness. • Analyzed remote sensing data using spatial statistical techniques to classify infested versus non-infested crops in cornfields laid out by the Environmental Protection Agency (EPA). The analysis also identified the optimal time span and indicators for accurate classification.• Built an application to use bootstrap and other non-parametric techniques, particularly for small sample size derived from ballistic experiments under the guidance of Prof. Rakesh Shukla, with the Centre of Biostatistical Services.
  • Birla Sun Life Insurance
    Actuarial Analyst
    Birla Sun Life Insurance 2001 - 2004
    Mumbai, Maharashtra , In
    • Designed and conducted mortality investigations. Developed monthly valuation MIS and reported the financials to the appointed actuary. Administered reinsurance programs, conducted expense analysis, created claims MIS and maintained liaison with reinsurers. • Designed and developed applications that include Group Term Product Marketing Illustration and Cost of Guarantees Computerized systems, and a group gratuity pricing and cash-flow-model sheet. Guided an experience rating adjustment factor and carried out Gratuity Pricing for a range of clients.

Yogesh Kandlur Skills

Analytics Data Mining Sas Data Analysis Statistical Modeling Business Intelligence Statistics Sql Predictive Modeling Segmentation Big Data Cross Functional Team Leadership Teradata Predictive Analytics R Quantitative Analytics Spss Web Analytics Time Series Analysis Hadoop Jmp Experimental Design Econometrics Sas Programming Tableau Vba Unix C++ Python Matlab A/b Testing Sas Base Multivariate Methods Machine Learning Quantitative Analysis Visual Basic Microsoft Sql Server Oracle 8i 11g Ms Office Apache Pig Ab Testing Software Solutions Amos Site Analytics Automation Planning Statistical Models Sas 9.1 Spss 12.0 Treenet Regression Testing

Yogesh Kandlur Education Details

  • University Of Cincinnati Carl H. Lindner College Of Business
    University Of Cincinnati Carl H. Lindner College Of Business
    Quantitative Analysis
  • University Of Cincinnati
    University Of Cincinnati
    Statistics
  • University Of Mumbai
    University Of Mumbai
    Economics - Econometrics & Math Eco
  • Aptech Computer Education
    Aptech Computer Education
    Software Engineering
  • University Of Mumbai
    University Of Mumbai
    Statistics

Frequently Asked Questions about Yogesh Kandlur

What company does Yogesh Kandlur work for?

Yogesh Kandlur works for Chargebee

What is Yogesh Kandlur's role at the current company?

Yogesh Kandlur's current role is Vice President of Data Science and Data Products.

What is Yogesh Kandlur's email address?

Yogesh Kandlur's email address is yk****@****pal.com

What is Yogesh Kandlur's direct phone number?

Yogesh Kandlur's direct phone number is +140896*****

What schools did Yogesh Kandlur attend?

Yogesh Kandlur attended University Of Cincinnati Carl H. Lindner College Of Business, University Of Cincinnati, University Of Mumbai, Aptech Computer Education, University Of Mumbai.

What are some of Yogesh Kandlur's interests?

Yogesh Kandlur has interest in Economic Empowerment, Civil Rights And Social Action, Education, Reading Management And Statistical Books, Poverty Alleviation, Learning New Programming Skills.

What skills is Yogesh Kandlur known for?

Yogesh Kandlur has skills like Analytics, Data Mining, Sas, Data Analysis, Statistical Modeling, Business Intelligence, Statistics, Sql, Predictive Modeling, Segmentation, Big Data, Cross Functional Team Leadership.

Who are Yogesh Kandlur's colleagues?

Yogesh Kandlur's colleagues are Sri Vaishnavi Ks, Parthiban R, Nishanth Sankaran, Nidhi Rani, Gopala Krishnan.s, Seenivasan K K, Nasirul Islam.

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