Robin Singh

Data Scientist and ML Engineer with 3.5+ years of experience building data-driven and production ML systems, backed by an MSc in Data Science from the University of Bath. Experienced across the ML lifecycle from exploratory analysis, feature engineering and model evaluation to deployment, APIs and monitoring, with a strong background in Python, statistics and cross-functional problem-solving.

Data Scientist at Paytm (2022-04 – 2023-09)

• Developed an ML-driven homepage personalisation and content-ranking system, benchmarking Logistic Regression and XGBoost on behavioural and transaction features, then combining engagement scores with campaign eligibility and frequency-capping rules to improve homepage engagement by 11%.
• Optimised MySQL queries and Redis caching to reduce API latency by 21%.
• Performed ad-hoc analysis of product features using SQL and Python, delivering actionable recommendations that contributed to a 25% improvement in feature adoption rates.
• Monitored and reported on key business KPIs using SQL and Tableau. Created automated dashboards with trend analysis, enabling stakeholders to track performance against targets.

Software Engineer at Paytm e-Commerce Ltd (2020-09 – 2022-03)

• Built CI/CD pipelines for ML data workflows (Docker, Kubernetes, GitHub Actions), accelerating model deployment by 35%.
• Designed and deployed REST APIs (Python, Flask) for Catalogue Admin workflows, improving content management speed and operational efficiency.
• Built a Bulk Banner Upload solution, allowing operations teams to upload and manage promotional banners in bulk, significantly reducing manual effort and deployment time.
• Facilitated sprint planning using agile methodology for cross-functional teams of engineers, product owners, and tech architects, fast-tracking the project timeline by 15%.
• Streamlined onboarding process and knowledge transfer documentation for eight new hires, leveraging redesigned PRDs and product demos, expediting product learning by 30%.

Software Engineer Intern at One97 Communications Ltd (2020-01 – 2020-06)

• Built real-time alerting for the Growth Dashboard (Python, Grafana), reducing incident response time by 40 minutes and improving ML data pipeline availability by 10%—ensuring model training jobs ran uninterrupted.
• Automated end-to-end flight booking workflows for AirAsia, IndiGo, and GoAir using Selenium, increasing transaction throughput by 25% while reducing manual intervention.

MSc in Data Science – University of Bath (2023 – 2025)

BE in Information Science & Technology – Ramaiah Institute of Technology (2016 – 2020)