0% Recall
Fraud Detection System
Achieved 94% recall on imbalanced dataset of 284K transactions using XGBoost + SMOTE, reducing false positives by 12%.
Explore DashboardMS Information Systems candidate at Stevens Institute of Technology (GPA 3.6), graduating May 2026. I turn raw data into decisions — through clean SQL, sharp Python analysis, and dashboards that actually get used.
A selection of projects showcasing my analytical skills and problem-solving approach.
Achieved 94% recall on imbalanced dataset of 284K transactions using XGBoost + SMOTE, reducing false positives by 12%.
Explore DashboardVisualized health demographics, highlighting a 15% risk variance across age buckets.
Explore DashboardOptimized SQL queries by 30% to analyze shifting volume thresholds.
Explore DashboardDeveloped dynamic dashboards tracking attrition, improving HR reporting speed from hours to minutes.
Pandas, NumPy, Scikit-learn, Cohort Analysis, Funnel Analysis
CTEs, Window Functions, Subqueries, BigQuery, PostgreSQL
DAX, Power Query, Data Modeling, Interactive Dashboards
Calculated Fields, Parameters, Dashboard Design
XLOOKUP, Pivot Tables, Power Query, KPI Dashboards
A/B Testing, Cohort Analysis, Regression, Root Cause Analysis
I'm Uday Prakash Lakkaraju — a data analyst currently pursuing my MS in Information Systems at Stevens Institute of Technology (GPA 3.6), graduating May 2026. My work lives at the intersection of clean data engineering and business impact. "What decision does this data enable?" is the question I bring to every analysis.
My background spans SQL (CTEs, window functions, BigQuery), Python (Pandas, NumPy, Scikit-learn), and BI tools including Power BI with DAX and Tableau. I've built ETL pipelines, fraud detection models, and executive dashboards — always with an eye on reducing the gap between raw data and a decision a stakeholder can act on.
Outside of work, I follow analytics trends across fintech and healthcare, and keep building personal projects that push my skills into new domains. Currently based in Jersey City, NJ — open to full-time data analyst and BI roles.
Breaking down complex problems into structured, data-driven solutions.
Crafting intuitive dashboards that make data accessible and actionable.
Python, SQL, ETL pipelines, and modern BI tools in my toolkit.
GPA 3.6 · Hoboken, NJ. Coursework focused on Business Intelligence & Analytics, Database Management Systems, Data Integration, and Marketing Analytics.
Eliminated 75% of data inconsistencies by migrating 4 siloed Excel systems into a unified SQL database across 2,500+ student records. Saved 12–15 hrs/month by building SQL extraction scripts and Excel KPI dashboards that compressed reporting cycles from 3–4 hours to under 1 hour.
Hyderabad, India. Coursework in Machine Learning, Statistical Methods, Data Structures & Algorithms, and Database Systems — building the technical foundation for a career in data.
I'm actively looking for data analyst and BI opportunities. Let's connect and see how I can add value to your team.