Bhavya Bhambri

AI Researcher

Singapore, Singapore9 yrs 2 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Led multiple machine learning initiatives.
Generated significant revenue uplift through predictive modeling.
Expert in AI governance within the insurance sector.

Stackforce AI infers this person is a Data Scientist specializing in Insurance and Food Delivery analytics.

Contact

bhavyab324@gmail.com LinkedIn

Skills

Core Skills

Machine LearningAi GovernanceBusiness InsightsMarketing CampaignsData AnalysisStatistical Modeling

Other Skills

AcquisitionBehavioral EconomicsConsumer BehaviourDecision-MakingDigital StrategyExperimentsGrowth ModelsHuman PsychologyLeading TransformationMonetizationPentahoPySparkPythonRRetention+Engagement

About

As a Senior Data Scientist at AIA Singapore, I led multiple end-to-end machine learning initiatives that translated business ideas into production-grade solutions. My work focused on delivering measurable business impact while ensuring compliance with AI governance standards in the insurance domain.

Experience

Aia singapore

Senior Data Scientist

May 2022 – Present · 3 yrs 10 mos · Singapore · On-site

Led customer vertical, drove growth initiatives, and managed cross-functional collaboration with product, engineering, and finance teams.
Developed end-to-end solutions and supervised junior data scientists to translate business objectives into actionable plans.
Developed ‘Next Best Needs’ model to predict customer’s insurance product purchase behaviour leading to an uplift of 1.1M in revenue.
Worked on an omni-channel framework to develop a lead scoring model to score leads from different channels identified based on customer demography and behaviour which generated a 1.2M uplift in revenue.
Led Customer Lifetime Value (CLTV) Model for AIA Group and AIA Singapore. CLTV to be used as an additional financial metric for acquisition cost justification, business value proposition from a long term perspective.
Designed A/B tests for the AIA customer app to validate business hypothesis and measure key success metrics including business uplift, conversion rates and revenue generation.
Presented new business use-cases and cost benefit analysis to senior stakeholders including c-suite executives from AIA Singapore and AIA Group.

Business InsightsStatistical ModelingDigital StrategyMachine LearningAI Governance

Grab

Data Scientist

Jan 2019 – Jan 2021 · 2 yrs · Singapore

Developed Restaurant Platform Value Segmentation to analyse health of a merchant on Grab platform.
Developed Marketing Lifecycle Framework for Grab Food Restaurants. The restaurants lifecycle segments cater to various marketing campaigns and corporate strategy decision making.
Developed model and data pipelines for trending restaurants which are used to send targeted marketing comms to Grab Food eaters/customers.
Developed data pipelines in Presto and dashboards in tableau for post-campaign analysis reporting metrics such as incremental GMV, incremental actives, lifts and campaign engagement metrics for over 15+ marketing campaigns across APAC.
Involved in development of a Multi-touch attribution model for Grab Food to account for digital marketing campaign attribution towards food orders and calculate CAC/CPI/ROI across different digital marketing channels.
Worked on Social Impact related projects for all verticals at Grab.

Business InsightsMarketing CampaignsStatistical ModelingDigital StrategyData Analysis

Kpmg singapore

Senior Associate (Data Scientist)

Sep 2018 – Apr 2019 · 7 mos · Singapore

Provided solution to the world’s largest re-insurer in developing optimized data systems for the finance team.
Stake-holder management and leading team of business analysts in Korea & Malaysia
Delivered the final solution to executive leadership members including CFO Asia.

Statistical Modeling

United airlines

Sr Analyst (Data Science and Innovation)

Jul 2016 – Jul 2017 · 1 yr

Responsibilities :
Building data science models to achieve personalized customer experience on United’s website
Collaborating with the team in Chicago and quarterly visiting United’s HQ in Chicago to discuss the business
problems with United leadership
Key Projects:
MERCHANDISE PROPENSITY MODEL: Built propensity model for award miles redemption on United’s e-commerce website for seasonal merchandise campaigns as a part of the frequent flyer program –Mileage Plus program of United Airlines. It was a classification model in R using Logistic Regression and GBM.
UNITED'S MILEAGE PLUS PROGRAM’S BUSINESS PARTNERS ANALYSIS: The objective was to classify the business partners of United into groups which would potentially be put together in caravan e-mails. K-means clustering, and cosine similarity was used to find similar partners which could be clubbed together to optimize marketing processes.
FLIGHT SHOPPING BEHAVIOUR: Based on customer’s historical search data and profile data, built predictive model to estimate customer’s likelihood of selecting the next segment of the flight on United’s website.

Statistical Modeling

Naukri.com

Data Analyst (Naukri Product and Analytics)

Jun 2014 – May 2016 · 1 yr 11 mos

Created predictive model to calculate customers’ propensity to pay for services provided on the internet portal which in turn helped to increase sales by 20-22%
Developed scoring model to score resumes of jobseekers on the website using machine learning algorithms.
Created Marketing report for naukri business, providing CV Quality scores, customer-acquisition from
various sources- Organic vs Paid analysis, top key skills

Statistical Modeling