Hi, I’m Shourya Marwaha, a Commercial Data Scientist specializing in customer analytics and predictive modelling. Over the past 3+ years I’ve built churn, CLV modelling, segmentation and propensity models using Python and SQL, working with large transactional and CRM datasets to drive revenue and retention. I’ve led experiments with pre-registered metrics and made model-driven recommendations to senior stakeholders. I recently completed MSc Data Science and Analytics with Distinction at the University of Leeds, and I’m excited to apply data-driven decisioning to accelerate growth.

Shourya Marwaha

Hi, I’m Shourya Marwaha, a Commercial Data Scientist specializing in customer analytics and predictive modelling. Over the past 3+ years I’ve built churn, CLV modelling, segmentation and propensity models using Python and SQL, working with large transactional and CRM datasets to drive revenue and retention. I’ve led experiments with pre-registered metrics and made model-driven recommendations to senior stakeholders. I recently completed MSc Data Science and Analytics with Distinction at the University of Leeds, and I’m excited to apply data-driven decisioning to accelerate growth.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Work Experience

Data Scientist / Product Analyst at GoMechanic
February 1, 2022 - July 1, 2024
Built XGBoost churn and purchase-behaviour model with feature engineering across 20+ behavioural variables, improving 90-day retention by 18% and generating £150K in incremental revenue. Developed behavioural segmentation and CLV prediction model enabling targeted retention campaigns, increasing repeat purchase rate by 25% and adding £120K+ to projected customer lifetime value across high-value cohorts. Designed and ran A/B experiment on user authentication flow using two-sample proportion tests with pre-registered success metrics and sequential testing guardrails, increasing conversion rates by 50% and saving 20+ weekly engineering hours. Analysed conversion funnel performance using GA4 event data and BigQuery, identifying three key drop-off points and driving a 15% conversion lift across core product funnels. Mentored 2 junior analysts on SQL query optimisation and experiment design, embedding data science best practice across the commercial analytics function.
Data Scientist (Consultant) at Licit Professionals LLP
August 1, 2024 - September 1, 2024
Built regression-based revenue forecasting model on historical financial data, achieving ~10% MAPE over a 2-year horizon and directly informing £2M+ in capital allocation decisions. Delivered executive Power BI dashboards consolidating cross-functional KPIs, replacing weekly manual reporting cycles with real-time visibility for senior leadership. Resolved ETL pipeline bottlenecks through query optimisation, cutting 5+ hours of weekly manual processing and improving downstream data accessibility by 30%.

Education

MSc Data Science and Analytics at University of Leeds
September 1, 2024 - September 1, 2025
Integrated B.Tech (Mechanical) + MBA (Finance/Analytics) at Thapar Institute of Engineering and Technology
July 1, 2017 - July 1, 2022

Qualifications

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