Siddhant Puranik

Managed and delivered weekly marketing performance metrics across major ad agencies and streamlined event creation processes for clickstream analytics to improve stakeholder coordination.

Developed and optimized client reporting modules and created Tableau dashboards using advanced SQL, while coordinating event instrumentation for new product features to maintain accurate tracking.

Implemented application-wide instrumentation for 200+ events and built an end-to-end analytics pipeline (S3 → DBT → Tableau) that drove a 2% order uplift and a ranking model that increased orders by 3%.

Built analytics for a Fee Module ERP across 1,000+ institutes, improving customer insights via clickstream analysis and increasing Net Promoter Score by 10% through segmentation and driver analysis.

Designed Clevertap and Mixpanel dashboards contributing to a 10x increase in DAU, reduced uninstalls by 10% via churn analytics and predictive models, and improved engagement through A/B testing.

Led onboarding for 10+ city-level clients, created Looker Studio dashboards and funnels, automated monthly MIS reports reducing generation time from 2-3 hours to 2 minutes, and trained staff across 10 locations.

Master of Science in Data Science covering Python, SQL, regression models, decision trees, CNN, NLP, data storage/management, and GDPR.

Completed a Machine Learning Specialization covering supervised and unsupervised learning, recommender systems, and reinforcement learning.

Post Graduate Diploma in Data Science with focus on business analytics (R, time series, hypothesis testing), big data tools (Hadoop, Spark, Tableau), and advanced analytics.

Master of Technology in CAD/CAM with coursework in CAD software, vehicle dynamics, computational fluid dynamics, solid mechanics, and vibrations.

Bachelor of Engineering in Power Engineering focused on higher mathematics, theory of machines, thermodynamics, and power plant operations and maintenance.