Raju P
Hello, I'm
Data Scientist – Financial & Compliance Analytics | Fraud Detection | Financial Risk & Business Assurance
Data Scientist specializing in Financial Analytics, Fraud Detection, and Business Assurance, with over 3 years of experience applying statistical modeling and machine learning to reduce financial risk, improve audit accuracy, and support enterprise compliance.
AboutMe
I am a Data Scientist specializing in Financial Analytics, Fraud Detection, and Business Assurance, with over 3 years of experience applying statistical modeling and machine learning to reduce financial risk, improve audit accuracy, and support enterprise compliance.
Currently at UnitedHealth Group, I work closely with Finance and Business Assurance teams to analyze large-scale payment and transaction data, where my analytics have helped identify $1.2M+ in recoverable overpayments. I design and deploy fraud and anomaly detection models using Python and SQL, and build Databricks-based data pipelines that process terabytes of data across multiple financial systems.
Previously, at Brane Group, I focused on business risk and process optimization, developing predictive models to identify high-risk transactions and automating reconciliation and audit workflows. These solutions reduced audit cycle time by 40% and improved data reliability for internal compliance teams.
My strength lies in bridging data science with business context—translating complex models into clear, actionable insights for finance leaders, auditors, and executives. I am experienced in building ETL pipelines, executive dashboards, and audit-ready analytics using Databricks, Snowflake, Tableau, and AWS.
I bring a disciplined, results-driven approach to data science, with a strong focus on financial integrity, compliance, and measurable business impact.
Core Focus Areas:
Financial Risk Analytics · Fraud Detection · Compliance & Audit Analytics · ETL Automation · Databricks · Python · SQL · Tableau · Cloud Data Engineering
Financial Risk Analytics
Fraud Detection, Compliance & Audit Analytics, Statistical Modeling
Data Engineering & ETL
Databricks, SQL/Python Pipelines, Terabyte+ Data Processing, Cloud Data Engineering
Business Analytics & BI
Tableau, Power BI, Executive Dashboards, Audit-Ready Analytics
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 – Financial & Compliance Analytics
UnitedHealth Group
San Jose, California, United States · Hybrid
Contract
- •Partnered with Business Assurance and Finance teams to analyze payment patterns and detect anomalies, identifying $1.2M+ in recoverable claim overpayments
- •Developed statistical and ML-based fraud detection models using Python (Scikit-learn, Pandas) and SQL, increasing accuracy of anomaly detection by 25%
- •Built Databricks-based pipelines for real-time transaction validation and reconciliation across multiple data sources (>3 TB)
- •Created Tableau dashboards visualizing financial KPIs, audit exceptions, and BAC risk indicators, used by leadership for compliance oversight
- •Performed exploratory data analysis (EDA) to uncover process inefficiencies, enabling policy refinements that improved operational accuracy
- •Designed data documentation templates and data-quality standards to align business definitions with functional specifications
- •Presented analytic results to cross-functional leadership, articulating insights in both technical and financial terms for business decisions
Data Scientist – Business Risk & Process Optimization
Brane Group
Visakhapatnam, Andhra Pradesh, India · On-site
Full-time
- •Developed predictive models in Python and R for identifying fraudulent or high-risk financial transactions using transaction frequency, location, and behavioral data
- •Engineered ETL workflows in SQL, Spark, and Airflow to aggregate and cleanse financial and compliance data for advanced analytics
- •Built Tableau and Power BI dashboards summarizing fraud metrics, loss events, and process KPIs for internal audit teams
- •Partnered with auditors and engineers to translate business logic into data rules and statistical validation checks for automation
- •Automated reconciliation scripts in Python and SQL between Snowflake and MySQL, reducing audit cycle time by 40%
- •Documented feature logic, data lineage, and analytic assumptions for traceability and compliance with financial audit standards
- •Collaborated with product managers and compliance leads to define analytic requirements, performance metrics, and data validation goals
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
January 16, 2026
"Preparing for Upcoming Interviews: Strategy, Preparation, and Mindset"
As I prepare for scheduled interviews, I'm sharing my approach to technical preparation, behavioral questions, and maintaining the right mindset. Here's how I'm getting ready to showcase my skills and experience.
Education & Certifications
My academic background and professional certifications that drive my expertise.
Master's degree, Information Technology
Clark University
Jan 2023 - May 2024 · Grade: 3.55
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's degree, Mechanical Engineering
Avanthi Institute of Engineering & Technology
Jun 2019 - Jul 2022 · Grade: A
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.