Suyash Mohta
Data Scientist | SQL, Tableau, A/B Test, Statistics, ETL
- Role
- Data Scientist at Fashom
- Location
- San Francisco, CA, US
- LinkedIn followers
- 500 followers
About Suyash Mohta
Seasoned Data Professional with 5+ years experience in delivering business impact through product analytics, experimentation and BI solutions.Core skills: • Data Analysis: SQL, Python, R, Excel • Statistics: A/B Testing, Causal Inference, Linear Regression • Visualizations: Tableau, Power BI, Looker • Data Transformation: dbt, Microsoft Azure, ETL Pipelines • Stakeholder Management: Executive Presentation, Data Storytelling, Interpersonal SkillsKey achievements: • At Fashom, ran A/B tests using R, SQL and Tableau to deliver stakeholder-facing insights, identifying product flow drop-off points and lifting engagement by 22% and purchase rates by 14%. Leveraged data storytelling and executive-ready presentations to communicate findings and drive business strategy decisions. • At Embee Software, gathered business requirements and translated complex data into clear insights using SQL, Python and Power BI for 30+ clients. Built and optimized ETL pipelines in Microsoft Azure and other cloud platforms, reducing latency by 40%.Let’s connect: • s••••••••@gmail.comPersonal links: • GitHub: github.com/suyashmohta97 • Medium: medium.com/@suyashmohta97
Experience
Data Scientist
Aug 2024 — Present · San Francisco, CA, US
Segmented customer cohorts using statistical modeling techniques and SQL to identify behavioral signals, purchasing frequency, and recency metrics, to increase retention by 17%• Created polished, executive-level Looker dashboards to convert complex experimental insights into clear visual narratives, influencing VP-level stakeholders and accelerating go-to-market execution timelines by 19%• Owned experiment design, defined KPI’s and ran A/B tests for product roadmap decisions, delivering a 30% lift in avg session time• Analyzed funnel experiments with product managers and engineering to identify and resolve friction points using causal inference, driving 17% improvement in purchase conversion rates• Built scalable ETL workflows using advanced SQL integrate high-volume datasets for experiment tracking, funnel attribution, and campaign performance analysis, cutting turnaround time by 22%• Led deployment of recommendation engine using collaborative filtering in Python for 100% of active users, boosting revenue by 15% and conversion rates by 21%
Education
Indiana University Bloomington
Bachelor of Science, Informatics
University of California, Davis
Master of Science, Business Analytics
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