Pankhuri Pachori

Data Analyst @Esalon

San Francisco, CA, US
EMAILS
p•••••••@esalon.com
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Jun 2021 — Present

Data Analyst @Esalon

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San Francisco, CA, US

Powered company’s A/B testing with framework, analytics & statistical insights enabling the leadership team to make critical decisions.• Spearheaded estimation of LTV for subscription-based model for D2C business using probabilisticmodeling. Enabled early identification of high-value customers, optimizing cohort performance and enhancing average user LTV. • Manage comprehensive A/B testing for the org, encompassing meticulous pre-test planning, post-test analysis and presentations for executives. Deliver actionable insights that inform strategic improvement efforts.• Successful transition to a new reporting platform (Looker), replacing legacy systems, significantly improving data accessibility and reporting efficiency, fostering enhanced data-driven decision-making across the org.• Manage and oversee KPI performance and reporting for stakeholders and executives.• Collaborate with XFN teams to identify and consolidate requirements for in-depth analysis and comprehensive reporting.

EDUCATION

2013 — 2017

Vellore Institute of Technology

Bachelor of Technology - BTech, Civil Engineering

2018 — 2019

University of Maryland

Master of Science - MS, Business Analytics

ABOUT PANKHURI PACHORI

As a data-driven strategist with a proven track record in leveraging advanced analytics to fuel business growth and operational efficiency, I consistently translate complex data into actionable insights and strategic business decisions. My expertise spans the full analytics lifecycle, including end-to-end A/B testing, customer lifetime value (LTV) modeling and monetization strategies, ensuring a data-informed approach to optimizing performance and scaling impact.Email: p••••••••@gmail.comCore Competencies:Experimentation (A/B Testing, Product Analysis, KPI Design)Customer Lifetime Value (CLV) Modeling & Monetization StrategiesProduct Analytics & GrowthData Modeling & Statistical AnalysisExploratory Data AnalysisMachine Learning (Linear/Logistic Regression, Gradient Boosting, Clustering, Decision Trees, Random Forest, PCA, etc.)Python (NumPy, Pandas, NLTK, Selenium, Matplotlib, Seaborn)R / RStudioTableau, LookerSQL Databases (MySQL, MSSQL, PostgreSQL)Google Analytics & Google Tag ManagerAdvanced Excel (StatTools, Solver,@Risk)Strong Communication & Analytical Skills

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