Hello, I'm
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.
AboutMe
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.
Advanced Data Science
Causal Inference, Econometrics, Regression, Time-Series, A/B Testing
High-End Data Engineering
SQL/Python Pipelines, AWS Glue, Lambda, Terabyte+ Data Processing
Business Analytics & BI
Tableau, Power BI, Executive Dashboards, ROI Measurement
Personal Interests
When I'm not diving deep into data science, here's what keeps me inspired and energized:
🎵Music & Singing
I love to sing and explore different genres. Music helps me think creatively and find new perspectives on problems.
📚Horror Books
There's something thrilling about a good horror novel. It keeps my mind sharp and my imagination active.
🚗Long Drives
Nothing beats a long drive with good music. It's my way of clearing my mind and getting fresh ideas.
🥾Hiking & Nature
Hiking helps me disconnect from technology and reconnect with nature. Great for problem-solving and reflection.
👨🍳Cooking
Cooking is like data science - you experiment, measure, and create something amazing from raw ingredients.
🎯Team Collaboration
I thrive in group settings and love being a team player. I'm also comfortable working independently when needed.
😄Sarcastic Humor
I bring a joyful and sarcastic perspective to everything. Life's too short to take everything seriously!
🚀Continuous Learning
I'm always exploring new technologies and methodologies. The data science field never stops evolving.
Data Science & Engineering Projects
A combination of completed GitHub projects and upcoming advanced data science initiatives focusing on causal inference, high-end data engineering, and sophisticated analytics solutions.
Upcoming Data Science Projects
Advanced Causal Inference Framework
In DevelopmentDeveloping sophisticated causal inference models for marketing attribution and campaign lift measurement. Implementing advanced econometric techniques to quantify true incremental impact of marketing campaigns.
Real-time Customer Churn Prediction System
In DevelopmentBuilding 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.
Marketing Mix Modeling (MMM) Platform
In DevelopmentCreating comprehensive MMM solution using Bayesian methods and hierarchical modeling to optimize marketing spend allocation across channels and measure long-term brand effects.
Advanced A/B Testing & Experimentation Platform
In DevelopmentDeveloping statistical testing framework with proper power analysis, sequential testing, and causal inference capabilities for large-scale marketing experiments.
Experience
My professional journey in data science and analytics.
Data Scientist - Marketing Analytics
UnitedHealth Group
- •Drove 22% engagement lift and 15% churn reduction through advanced causal inference analysis across multi-channel marketing campaigns
- •Engineered scalable SQL/Python pipelines processing terabyte-scale datasets, cutting data prep time by 45%
- •Built production-grade ML models (regression, time-series) to quantify cross-channel ROI, informing multi-million dollar budget allocations
- •Delivered executive dashboards in Tableau translating complex analytics into actionable insights for C-suite decision making
- •Led statistically rigorous A/B experiments with marketing teams, applying hypothesis testing to validate campaign strategies
- •Advanced causal modeling capabilities to measure true incremental impact, driving channel optimization and budget reallocation
Marketing Data Analyst
Brane Enterprises
- •Analyzed 50K+ records across customer lifecycle and campaigns, uncovering targeting insights that improved precision marketing
- •Developed automated ETL pipelines (SQL, Python) reducing manual reporting errors by 35% and enabling faster campaign iterations
- •Applied econometric techniques to measure attribution and retention, building predictive models for customer lifetime value
- •Created interactive BI dashboards (Tableau, Power BI) tracking campaign KPIs in real-time for executive monitoring
- •Partnered with product teams to design experimental frameworks for acquisition funnel optimization and conversion testing
- •Delivered data-driven insights that contributed to 22% ROI improvement across marketing channel mix
Data Science Blog
Insights, tutorials, and deep dives into advanced data science concepts, causal inference, and marketing analytics.
Coming Soon: Advanced Data Science Content
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.
Latest Deep Dive
November 16, 2025
"Completed Python Data Structures and Comprehensions"
Just finished mastering Python data structures and comprehensions with multiple practice assignments. Sharing my journey and key insights from working with lists, dictionaries, sets, and powerful comprehension techniques.
Education & Certifications
My academic background and professional certifications that drive my expertise.
Master of Science in Information Technology
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.
Bachelor of Technology in Mechanical Engineering
JNTUK, Visakhapatnam, Andhra Pradesh
Strong foundation in critical thinking and basic aptitude skills with good understanding of analytical problem-solving methodologies.
Professional Certifications
View All Certifications
Click to view my LinkedIn certifications
AWS Certified Data Analytics
Amazon Web Services
Power BI Data Analyst Associate
Microsoft Certified
Azure Database Administrator
Microsoft Certified
Get In Touch
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.