Sanjana Pahuja

Product Manager

Gurgaon, Haryana, India5 yrs 8 mos experience

Key Highlights

Reduced customer churn rate by 20% through predictive analytics.
Developed credit risk models for diverse financial products.
Created dashboards for performance measurement across cloud security products.

Stackforce AI infers this person is a Fintech and SaaS analytics expert with a strong focus on product and customer analytics.

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Skills

Core Skills

Product AnalyticsCustomer AnalyticsCredit Risk ManagementMachine Learning

Other Skills

Monitoring PerformanceProject ManagementBusiness AnalyticsStrategy ConsultingPresentation SkillsLogistic RegressionSASXGBoostData VisualizationTableauKey Performance IndicatorsAnalyticsData ScienceRPredictive Modeling

About

A seasoned analytics professional with 6.5+ years of experience focussed on Product Analytics, Data Science, and Machine Learning. I have worked extensively on customer analytics which enabled me to proficiently identify high-risk customers and devise tailored strategies to minimize churn rates. As a product analyst, I possess a proven track record of evaluating product performance by identifying suitable Key performing indicators (KPIs). I also have experience in assessing conversion rates at each step of the customer onboarding process, leading to enhanced product efficiency and growth. I have been involved in developing and executing credit risk models for diverse financial products, including personal loans, credit cards, and mortgages. My proficiency in machine learning has enabled me to detect patterns in large datasets, which have been instrumental in refining credit risk management processes. I aspire to inspire and motivate people by my work, experiences, and lessons. Key Skills: SQL, Python, R, SAS, Data Analysis, Analytics Engineering, Statistics, Predictive Modelling, Machine learning

Experience

5 yrs 8 mos

Total Experience

1 yr 5 mos

Average Tenure

Current Experience

Google

Product Strategy & Analytics Lead

Jan 2022 – May 2023 · 1 yr 4 mos · India

● Independently set up the analytics roadmap for multiple cloud security products to evaluate performance on key KPIs such as
revenue, adoption, costs, pricing, sales, and marketing
● Collaborated with the reCAPTCHA product team to analyze the conversion rates at each step of the Customer user journey and
designed strategy for the onboarding process
● Customer Analytics - Partnered with the Sales team in order to identify upcoming contract renewals and devise predictive
variables that can flag customers at risk of churning and reduced customer churn rate by 20%
● Pioneered analytics efforts from the ground up for Platform cloud security products (non-monetized products) in defining
key performance indicators (KPIs) to effectively measure product success
● Created a dashboard that measured the sales pipeline i.e.new, open, and lost bookings for all cloud security
products, intended for utilization by the entire Cloud Security business Org of 200+ members

Monitoring PerformanceProject ManagementProduct AnalyticsCustomer Analytics

Ey

Senior Consultant

May 2021 – Jan 2022 · 8 mos

Business AnalyticsStrategy Consulting

Standard chartered bank

Associate Manager

Jul 2019 – Jun 2021 · 1 yr 11 mos · Greater Bengaluru Area

Developing credit risk models for retail and corporate products for APAC and Middle East.
Personal loan Application Scorecard for Asia Market:
Built a predictive model to underwrite customers using logistic regression in SAS.
Drove a 20% increase in number of approved customers by swapping safe borrowers from declined population
Adopted techniques like IV, Variable Clustering, Stepwise Regression, Multicollinearity check, to reduce independent variables from ~3000 to 10-15
IFRS 9 Monitoring framework Retail Models
Developed very first IFRS9 Monitoring framework from scratch for two Asia market Portfolios.
Automated the whole process to produce quarterly monitoring results of three suite of models ( PD, EAD, LGD)
Lifetime Estimation for Korea Credit Card
Used ~10 years data to evaluate the lifetime of a credit card portfolio for optimal ECL provisioning of stage two accounts in IFRS9 models

Presentation SkillsCredit Risk Management

Exl

Consultant

Sep 2017 – Jul 2019 · 1 yr 10 mos · Gurugram, Haryana, India

Developed advanced analytics solutions to advice CXO level stakeholders of a major fortune-50 global bank
Customer Acquisition: Consumer Card underwriting model
Developed a predictive model to underwrite customers using machine learning technique of XGBoost in R software
Used Logistic Regression to develop reject inference model to predict probability of default of rejected customers
Over 10% incremental accounts underwritten, using robust modelling techniques
Existing Customer Management : Proactive Credit line increase model
Developed the very first PCLI model using gradient boosting machine algorithm and replaced the existing policy in place
Performed hyper parameter optimization techniques like bayesian optimisation & grid search to arrive at final parameters of model
Achieved $20 Mn annual revenue by predicting optimal line increase to be given to each account
Creation of internal Credit attributes
Built a suite of 2000+ internal credit attributes which were leveraged to develop 3+ underwriting custom scores