Uncovering Insights in Data & Consciousness
Data Strategist specializing in full-stack BI solutions, Python, SQL, and DOMO, driven by a mission to merge technology with purpose.
The Bridge Between Data and Intuition
A Decade of Professional Expertise
With over 10 years in business intelligence and data strategy, I’ve developed a robust skill set in translating complex datasets into clear, actionable insights. My expertise lies in engineering end-to-end BI solutions—from data pipelines in AWS to interactive visualizations in DOMO—that empower teams and drive strategic growth.
A Personal Mission for Conscious Tech
Beyond the numbers, my journey has been deeply shaped by a long-standing Kriya Yoga practice. This has cultivated a unique perspective on pattern recognition and human behavior, allowing me to approach data with a deeper layer of intuitive understanding. I believe the most powerful technology is that which supports conscious evolution, and I am driven to build solutions that authentically resonate and serve a higher purpose.
“The true sign of intelligence is not knowledge but imagination. My goal is to blend analytical rigor with intuitive insight, turning raw data into meaningful stories that illuminate the path forward.”
Featured Projects
End-to-End Marketing Analytics Platform
Challenge: The client lacked a unified view of their marketing ROI, with data siloed across multiple ad platforms and their CRM.
Solution: Engineered a data pipeline in AWS S3, performed data modeling using Python (Pandas), and built 5 interactive dashboards in DOMO to track KPIs from top-of-funnel to customer conversion.
Outcome: Delivered insights that led to a 15% increase in member retention and a 20% more efficient ad spend.
Python
SQL
AWS S3
User Behavior & Churn Prediction Model
Challenge: A subscription-based service needed to proactively identify users at risk of churning.
Solution: Utilized PySpark and SQL to analyze terabytes of user interaction data. Developed a statistical model in R that identified key behaviors preceding subscription cancellations.
Outcome: The model accurately predicted 70% of churn events, enabling targeted retention campaigns that reduced monthly churn by 8%.
PySpark
SQL
Tableau
Technical Skills
BI & Data Visualization
DOMO (Expert), Tableau, Power BI, Google Analytics 4
Data Science & Programming
Python (Pandas, PySpark), R, SQL (Hive, Presto)
Cloud & Database
AWS (S3, EMR, Qubole), Google BigQuery, MySQL
Let’s Connect
I’m always open to discussing new projects or opportunities that align with my mission. I’d love to hear from you.