KETAN SHAH
Summary
Results-driven Data Scientist with expertise in analytics automation, data engineering, and AI-driven solutions to enhance decision-making and operational efficiency. 10 years of proven track record of building scalable dashboards, optimizing data pipelines, and deploying AI-powered tools that have saved millions in costs, improved product reliability, and accelerated business insights.
Overview
10
10
years of professional experience
Work History
Senior Data Scientist
Block
07.2023 - Current
- Workflow Automation: Developed a Python-based ETL pipeline to automate data ingestion from 100+ vendor spreadsheets, eliminating 10+ manual hours/week of data processing.
- Data Warehousing: Designed a data transformation process to normalize supplier pricing, quantity, and factory location across millions of rows in Snowflake, enabling faster querying and trend analysis.
- Machine Learning: Built a Looker dashboard providing predictive forecasts and insights into supplier pricing trends, cost fluctuations, and negotiation leverage points, reducing time-to-analysis from 4 hours to under 5 minutes.
- Efficiency: Implemented an event-driven automation mechanism that optimized Snowflake compute usage, reducing costs by $14K/month while improving infrastructure efficiency.
- Optimization: Enabled faster, data-driven negotiations for the GSM team, improving supplier cost efficiency and increasing profit margins across 100+ suppliers.
Senior Product Analyst
Block
06.2022 - 06.2023
- Dashboarding: Developed a Network Health Dashboard to monitor connectivity performance (RSSI, speed, WiFi disconnects, uptime) across sellers and identified 8K+ sellers with below-average network performance.
- Problem Solving: Provided data insights to account managers, leading to the discovery that 60% of affected sellers were using low-quality local network setups causing system failures.
- Teamwork: Implemented a scalable solution for improving reliability by partnering with Square’s business team to introduce a premium UniFi network kit to enhance seller connectivity.
- Optimization: Launched a 50-seller pilot program, reducing seller-reported network complaints from 23% to 4% by optimizing network reliability enhancing seller experience and reducing churn.
- Scalability: Scaled the network kit program company-wide, benefiting 15K+ sellers and strengthening Square’s infrastructure and POS system reliability.
Lead Data Analyst
Comcast
09.2017 - 06.2022
- Automation: Built an automated data pipeline to integrate Flex order and activation data from multiple sources to provide a single source of truth for adoption tracking.
- Collaboration: Partnered with the Orders team to analyze Flex sales, activation trends, and retention patterns and identified key adoption drivers and customer behavior insights.
- Storytelling: Created real-time monitoring metrics to track device adoption and customer retention and provided executives with actionable insights for strategic decisions.
- Strategy: Enabled quick turnaround on analytics and reporting for leadership which informed Comcast’s decision to eliminate the $5 Flex fee, reducing churn by 8% and increasing market share.
Education
Master of Science - Information Management
Syracuse University
Syracuse, NY05.2015
Bachelor of Technology - Electronics Engineering
University of Pune
Pune, India05.2013
Skills
- Programming: Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn), ML Modeling, Automation, SQL, Databricks, Snowflake, Jupyter Notebook, A/B Testing, Airflow, Github
- Analytics: Looker, Tableau, Power BI, IBM Cognos Report Studio, IBM Watson Analytics, Amplitude, Fivetran, Excel, Adobe Analytics
Timeline
Senior Data Scientist
Block
07.2023 - Current
Senior Product Analyst
Block
06.2022 - 06.2023
Lead Data Analyst
Comcast
09.2017 - 06.2022
Master of Science - Information Management
Syracuse University
Bachelor of Technology - Electronics Engineering
University of Pune
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