Hi, I’m Uday Prakash Lakkaraju

Data Analyst and MS Information Systems candidate, graduating May 2026.

Career Summary

I build end-to-end analytics workflows using SQL, Python, dbt, BigQuery, Tableau, and Power BI - from data preparation to stakeholder-ready dashboards. Portfolio outcomes include AUC 0.96 fraud detection, a projected 19% diagnosis improvement in clinical workflows, and $2.77M profit-at-risk visibility with a machine learning model that flags high-risk deliveries before they fail in supply chain operations.

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Projects

Featured Work

A selection of projects showcasing my analytical skills and problem-solving approach.

Abstract payment security motif — decorative card art, not live data
Python ML Finance

Payment Fraud Detection

Detected 2.4K+ fraudulent transactions with AUC 0.96 and recovered up to 15% failed payments after diagnosing a 15-point authorization drop.

Explore Dashboard
Abstract clinical workflow motif — decorative card art, not live data
SQLPython

Clinical Workflow Analytics

Analyzed 4,969 patient records, identified two 44% bottleneck stages, and modeled interventions projecting a 19% diagnosis-rate increase.

Explore Dashboard
Abstract supply chain and logistics motif — decorative card art, not live data
PythonSQLBigQuerydbtBigQuery ML

Supply Chain Prioritization & Risk Analysis

Built an end-to-end analytics pipeline across 180K+ orders — identified $2.77M in high-value profit at risk, isolated the top 5 lanes driving 40.67% of delivery failures, and built a machine learning model that flags which orders are most likely to miss their delivery promise before they ship.

Film and media analytics — decorative card art, not live data
PythonPandasPortfolio AnalyticsPower BI

Content Investment Analysis

Film portfolio analytics for audience value, downside risk, and franchise performance. Analyzed 4,562 films using Python-based analytics, with a Power BI dashboard in progress.

View Analysis Repo
Live Dashboard

Interactive BI Showcase

Interactive dashboards from my portfolio projects.

Skills

Tools & Technologies

Python

Pandas, NumPy, Scikit-learn, predictive modeling, cohort and funnel analysis.

SQL

Advanced SQL with CTEs, window functions, PostgreSQL, and BigQuery analytics workflows.

Power BI

Advanced DAX, Power Query, KPI framework design, and stakeholder-ready interactive dashboards.

Tableau

Calculated fields, parameters, and executive dashboard storytelling for decision support.

Data Platforms

dbt, ETL/ELT pipelines, schema design, star schema modeling, and data warehousing.

Analytics

A/B testing, root cause analysis, KPI development, and operational performance diagnostics.

About

Driven by Curiosity, Fueled by Data

I'm Uday Prakash Lakkaraju, a data analyst pursuing an MS in Information Systems at Stevens Institute of Technology (GPA 3.6), graduating May 2026. My work sits at the intersection of analytics engineering and business impact. "What decision does this data enable?" is the question I bring to every project.

My toolkit includes advanced SQL, Python, dbt, BigQuery, PostgreSQL, Power BI, Tableau, and Looker Studio. I've built ETL/ELT pipelines, predictive fraud models, and KPI frameworks that move teams from manual reporting to reliable, self-serve insight.

I enjoy solving analytics problems across fintech, healthcare, and operations domains, with a focus on measurable outcomes. Based in Jersey City, NJ, I'm seeking full-time Data Analyst and BI Analyst roles.

Portrait of Uday Prakash Lakkaraju
Timeline

Career Timeline

2020 Started B.Tech CSE
2023 Data Analyst Internship
2024-26 MS Information Systems
Sep 2024 - May 2026

MS, Information Systems | Stevens Institute of Technology

GPA 3.6 | Hoboken, NJ. Coursework focused on Business Intelligence & Analytics, Database Management Systems, Data Integration, and Marketing Analytics.

Business IntelligenceDatabase ManagementData IntegrationMarketing Analytics
Aug 2023 - Oct 2023

Data Analyst Intern | Sreyas Institute of Engineering and Technology

Reduced data inconsistencies by 75% by consolidating 5 Excel systems into a centralized SQL database across 5.5K+ student records. Automated extraction and reporting workflows to save 12-15 hours/month and cut turnaround from 3-4 hours to under 1 hour.

SQLPythonExcelKPI DashboardsCohort Analysis
Nov 2020 - Jun 2024

B.Tech, Computer Science | Sreyas Institute of Engineering and Technology

Hyderabad, India. Coursework in Machine Learning, Statistical Methods, Data Structures & Algorithms, and Database Systems - building the technical foundation for a career in data.

Machine LearningStatistical MethodsData StructuresDatabase Systems
Contact

Let's Work Together

I'm actively looking for data analyst and BI opportunities. Let's connect and see how I can add value to your team.

Email

ludayprakash22@gmail.com

LinkedIn

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GitHub

See my code

Resume

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