Data Scientist with Advanced Data Engineering & Business Analytics Expertise
Data Scientist with 3+ years of experience applying advanced data science and analytics to marketing and financial product domains. Specializing in campaign measurement, causal inference, econometrics, and ROI-driven optimization with proven results in campaign performance and retention.
My journey into data science began with a simple question: "What if we could predict the future?" This curiosity led me down a path where I discovered that data isn't just numbers—it's stories waiting to be told. I've spent the last few years transforming complex datasets into actionable insights that drive real business impact.
What excites me most is the challenge of finding causality in a world full of correlation. I love diving deep into sophisticated statistical methods, but I'm equally passionate about making complex concepts accessible to everyone. As a lifelong continuous learner, I'm always exploring new methodologies and staying current with the latest developments in data science. Whether I'm building advanced causal inference models or teaching others through my blog, I believe knowledge should be shared and understood.
My vision is to bridge the gap between cutting-edge data science research and practical business applications. I want to help organizations make better decisions through data, while also contributing to the data science community by sharing what I learn along the way. The future of data science is collaborative, and I'm excited to be part of that evolution.
Causal Inference, Econometrics, Regression, Time-Series, A/B Testing
SQL/Python Pipelines, AWS Glue, Lambda, Terabyte+ Data Processing
Tableau, Power BI, Executive Dashboards, ROI Measurement
When I'm not diving deep into data science, here's what keeps me inspired and energized:
I love to sing and explore different genres. Music helps me think creatively and find new perspectives on problems.
There's something thrilling about a good horror novel. It keeps my mind sharp and my imagination active.
Nothing beats a long drive with good music. It's my way of clearing my mind and getting fresh ideas.
Hiking helps me disconnect from technology and reconnect with nature. Great for problem-solving and reflection.
Cooking is like data science - you experiment, measure, and create something amazing from raw ingredients.
I thrive in group settings and love being a team player. I'm also comfortable working independently when needed.
I bring a joyful and sarcastic perspective to everything. Life's too short to take everything seriously!
I'm always exploring new technologies and methodologies. The data science field never stops evolving.
A combination of completed GitHub projects and upcoming advanced data science initiatives focusing on causal inference, high-end data engineering, and sophisticated analytics solutions.
Developing sophisticated causal inference models for marketing attribution and campaign lift measurement. Implementing advanced econometric techniques to quantify true incremental impact of marketing campaigns.
Building end-to-end ML pipeline for real-time churn prediction using advanced time-series analysis and ensemble methods. Features automated model retraining and A/B testing framework.
Creating comprehensive MMM solution using Bayesian methods and hierarchical modeling to optimize marketing spend allocation across channels and measure long-term brand effects.
Developing statistical testing framework with proper power analysis, sequential testing, and causal inference capabilities for large-scale marketing experiments.
My professional journey in data science and analytics.
UnitedHealth Group, MA
Conducted descriptive and causal inference analysis for multi-channel campaigns, improving engagement by 22% and reducing churn by 15%. Built SQL/Python pipelines for large-scale (terabyte+) marketing data ingestion, reducing preparation time by 45%. Delivered campaign performance dashboards in Tableau and Keynote, enabling real-time tracking of CTR, conversion, and retention metrics.
Brane Enterprises, India
Collected, cleaned, and analyzed 50K+ customer and campaign records, uncovering insights that improved targeting strategies. Built SQL queries and Python ETL scripts for campaign pipelines, reducing reporting errors and manual effort by 35%. Developed Tableau and Power BI dashboards for campaign KPIs, contributing to a 22% lift in campaign ROI.
Insights, tutorials, and deep dives into advanced data science concepts, causal inference, and marketing analytics.
I'm currently working on comprehensive blog posts covering advanced topics in causal inference, marketing mix modeling, and sophisticated analytics techniques. Stay tuned for deep dives into the methodologies that drive real business impact.
Published Yesterday
Essential tips and tricks I've learned from years of data science practice. From debugging models to optimizing performance, these insights will save you hours and improve your results...
My academic background and professional certifications that drive my expertise.
Clark University, Worcester, MA
Advanced studies in high-end data science, machine learning, cloud computing, database systems, and information systems management. Specialized coursework in data analytics, business intelligence, and enterprise architecture.
JNTUK, Visakhapatnam, Andhra Pradesh
Strong foundation in critical thinking and basic aptitude skills with good understanding of analytical problem-solving methodologies.
Click to view my LinkedIn certifications
Amazon Web Services
Microsoft Certified
Microsoft Certified
I'm always interested in new opportunities and collaborations. Let's discuss how we can work together to solve complex data challenges and drive business growth.