I engineer signal and tell the story.
Selected Work
2024 — 2026 / IndexReadmitScope US
An end-to-end healthcare analytics project on CMS Medicare readmissions — live CMS data ingestion, cleaning, QA logs, statistical analysis, hospital ownership and star-rating enrichment, and a deployed React dashboard for exploring excess readmission patterns.
CardioScope 3D
An interactive 3D cardiovascular risk explorer — 297 real patients as an orbitable point cloud, with PCA, k-means clustering, and a logistic-regression risk model (ROC-AUC 0.924).
Enterprise Data Lakehouse Integration Platform
An end-to-end Databricks lakehouse — Bronze, Silver, and Gold layers integrating multiple business systems. PySpark and Delta Lake MERGE for incremental loads, schema harmonization, and data-quality validation from AWS S3, governed by Unity Catalog.
SaaS Revenue & Churn Intelligence Platform
A PostgreSQL MRR state machine — window functions and CTEs classifying 50K+ customer-months into revenue-movement categories for NRR, GRR, churn, and cohort reporting. Surfaced that payment failure predicts churn 3× better than any other signal, validated by 23 automated data-quality assertions.
Stock Trading Analysis Dashboard
A real-time stock dashboard in Streamlit and Plotly — live OHLCV data with locally computed indicators (SMA, Bollinger Bands, RSI, volume ratio), plus a context-aware AI market assistant grounded in live S&P 500, Nasdaq, and Dow data.
AI Job Market Intelligence Dashboard
An ObservableHQ dashboard analyzing 90K+ global AI job records — salary trends, hiring difficulty, and workforce dynamics. Found that roles requiring 3+ years command a 47% salary premium, with the US and Germany hardest to hire in.
Pavan Mallipudi · Tempe, AZ
One instinct across the whole stack: take the noise, find the signal, and turn it into a decision someone can act on.
I work end to end — building the pipelines and models that move data, then the analysis and dashboards that make it usable. The part I care about most is where a number turns into a decision.
Areas of interest
Experience
Work historyCommunity Engagement Data Specialist
- Managed, validated, and standardized university–community engagement data on the Collaboratory platform, improving accuracy and consistency for cross-departmental reporting and stakeholder decision-making.
- Automated reporting workflows and built Tableau and Power BI dashboards for 10+ ASU departments, surfacing engagement trends and KPIs while expanding self-service analytics adoption.
- Led trainings and stakeholder demos for faculty and staff, translating complex data processes into actionable insights and promoting consistent data governance.
Database & Analytics Developer
- Developed MySQL relational data workflows for high-volume media-transcript datasets, enabling scalable reporting and operational analytics.
- Improved query performance and data reliability through schema normalization, indexing strategies, validation workflows, and automated cleanup and retention.
- Designed structured backup and database-maintenance workflows for long-term storage reliability and analytics readiness.
Jr. Data Analyst Intern
- Built Python (Pandas, Regex) cleaning and enrichment pipelines to standardize 500+ B2B company records, cutting manual effort ~75% and improving data quality for downstream analytics.
- Developed executive KPI reports and Power BI dashboards visualizing supplier capabilities, certifications, and geographic trends, helping stakeholders spot market gaps and prioritize outreach.
- Implemented SQL data-quality checks for duplicates, nulls, and schema inconsistencies, increasing reliability and supporting BI initiatives.
Skills
What I work withLanguages
Data Engineering
Cloud & Platforms
Data & BI
Data Analytics
GenAI & AI Tooling
Education
Academic backgroundArizona State University
B.S. Computer Science · Minor in Data Science · Magna Cum Laude
Honors
Relevant coursework
Certifications
Verified credentials / click to viewIntroduction to Data Analytics
Databases & SQL for Data Science with Python
Data Visualization & Dashboards with Excel and Cognos
AWS Cloud Technical Essentials
Google Workspace User & Resource Management
Claude AI Fluency
Claude AI Capabilities & Limitations
Claude 101
Resume
One page, the whole storyPavan Venkata Manjunath Mallipudi
B.S. Computer Science · Data Science minor · Magna Cum Laude · Arizona State University, May 2026. Open to data analyst, data engineer, and data scientist roles.
- B.S. Computer Science + Data Science minor · Magna Cum Laude (May 2026)
- Data analytics, data engineering, and ETL across three roles
- Deployed analytics & lakehouse projects (PostgreSQL, Databricks, Streamlit)
- Python · SQL · R · Spark · Power BI · Tableau · dbt
- 5× Dean's List · GPA 3.76 / 4.0
- IBM Data Analyst Professional Certificate
pvmmallipudi@gmail.com · Tempe, Arizona