Vaibhav Boliya

Data Scientist

Mumbai, Maharashtra, India3 yrs 10 mos experience

Key Highlights

Expert in data-driven decision making.
Proven track record in user behavior analysis.
Strong background in building automated data solutions.

Stackforce AI infers this person is a Data Analytics expert in the Gaming industry with strong technical and analytical capabilities.

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Skills

Core Skills

Data AnalyticsData Science

Other Skills

Quantitative AnalysisBehavioral SegmentationA/B TestingStatistical Significance TestingData ModelingETLTableauKPI TrackingData AnalysisCustomer SegmentationPredictive TargetingDocumentationBig Data AnalyticsNatural Language Processing (NLP)JavaScript

About

I’m a data-driven problem solver passionate about turning complex datasets into stories, strategies, and solutions that fuel business growth. With 4+ years of experience in data analytics and data science, I specialize in uncovering patterns in user behavior, designing experiments, creating models and building frameworks that empower smarter decision-making across product and marketing. My background in Computer Science and Statistics equips me to combine analytical rigor with business focus. At Skillz and Games24x7, I’ve: - Applied segmentation and cohort analysis to identify the right users for targeted campaigns and promotional offers, directly improving retention and lifetime value. - Designed and executed A/B testing frameworks to validate product features and marketing strategies, ensuring data-backed decision-making. - Built automated ETL pipelines, ML models and self-service dashboards that enabled faster deep-dive analysis and quicker insights for new strategies. - Mentored junior analysts and collaborated with cross-functional teams, fostering a stronger data-first culture. My work blends deep technical expertise with clear storytelling, helping stakeholders stay aligned while making data actionable. What drives me is the challenge of transforming raw data into strategies that move businesses forward. Outside of work, I continue to grow through certifications, hackathons, and hands-on projects in, AI , Machine Learning and advanced analytics and always eager to learn, experiment, and create impact.

Experience

3 yrs 10 mos

Total Experience

1 yr 9 mos

Average Tenure

5 mos

Current Experience

Jpmorganchase

Associate Data Scientist

Dec 2025 – Present · 5 mos · Mumbai, Maharashtra, India

Skillz

Data Analyst

Feb 2025 – Nov 2025 · 9 mos

◦ Applied quantitative analysis and behavioral segmentation to design retention initiatives, yielding an 8% lift in revenue and a 13% increase in Day-14 retention.
◦ Collaborated with cross-functional teams to design and execute A/B testing framework, applying advanced statistical significance testing to validate hypotheses and guide product and market strategies. The results directly influenced key financial metrics, including monetization, retention, and lifetime value (LTV)
◦ Modeled client data flows by performing deep-dive behavioral and cohort analysis across the client lifecycle. Insights from this analysis uncovered critical friction points and guided the implementation of targeted product enhancements and personalized client engagement strategies
◦ Architected and implemented automated ETL and data modeling for KPI tracking pipelines into Snowflake ; built self-service Tableau dashboards that reduced ad-hoc reporting time and improved analysis time by 35% .
◦ Delivered key insights on LTV, churn, and user behavior to senior leadership, driving data-backed decisions across product, monetization, and engagement strategy.

Quantitative AnalysisBehavioral SegmentationA/B TestingStatistical Significance TestingData ModelingETL+4

Games24x7

2 roles

Data Analyst 2

Mar 2024 – May 2025 · 1 yr 2 mos

◦ Analyzed gameplay and financial behavior of 5k+ acquired users per day to optimize their day 0 to 30 journey on RummyCircle aiming to maximize ARPU, increase retention, improve platform contribution and drive deeper engagement
◦ Created ideal customer segmentation and predictive targeting to optimize marketing spends and campaigns, driving 15% lift in new-user LTV.
◦ Conducted in-depth analysis to determine the ideal timing and target size for promotional offers, improving engagement rates and increasing new player retention by 12%.
◦ Designed and executed A/B tests to evaluate new product features and marketing strategies; conducted statistical significance testing and regression analysis to assess impact, driving a 10% increase in average LTV for new users.
◦ Mentored and guided junior analysts, providing technical support on data analysis techniques, SQL best practices, and effective visualization strategies, improving team productivity and accelerating project delivery timelines by 20%.

Data AnalysisCustomer SegmentationPredictive TargetingA/B TestingStatistical Significance TestingData Analytics+1

Data Analyst 1

Jun 2022 – Mar 2024 · 1 yr 9 mos

◦ Built a scalable campaign analytics framework that automatically generated dashboards with 200+ metrics from minimal user inputs, reducing manual creation time by 95% and standardizing post-experiment analysis, which accelerated campaign launch cycles.
◦ Collaborated with product managers and cross-functional teams in an agile environment to develop new features and conduct A/B testing; analysis and implementation reduced support page bounce rate by 4% and improved user satisfaction.
◦ Developed automated ETL pipelines in Databricks to process large-scale datasets, ensuring 99% data accuracy and integrity. Designed BI frameworks with Tableau and robust data models to improve KPI tracking and reporting, enabling 10% faster issue detection and quicker stakeholder response times.
◦ Created and maintained documentation for requirements, processes and code repositories, increasing workflow efficiency by 20%.

ETLData ModelingTableauDocumentationData AnalyticsData Science