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Hi there, I’m Sri! I help agencies turn data into decisions — data architecture, dashboards, predictive models, impact evaluation.

Get in touch

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Tools


Tools

Education


<aside> <img src="/icons/graduate_lightgray.svg" alt="/icons/graduate_lightgray.svg" width="40px" /> Master’s in Data Science Illinois Institute of Technology Chicago, IL

<aside> <img src="/icons/graduate_lightgray.svg" alt="/icons/graduate_lightgray.svg" width="40px" /> Bachelor of Technology - Computer Science & Engineering Amrita Vishwa Vidhyapeetham Coimbatore, India

Hobbies


About Me


Organizations today sit on massive amounts of data, but struggle to connect the dots — cleaning, linking, and turning it into real decisions is often slow, messy, and expensive.

I solve that problem by building scalable, interoperable data systems that transform raw inputs into insightful dashboards, predictive models, and decision tools. My work bridges data architecture, analytics, and strategy, ensuring leaders can act quickly with confidence.

I’m Sri Hari Sivashanmugam, a Data Scientist & Consultant with expertise in public health, government, and mission-driven organizations. My approach is simple: tackle complex data challenges with clear, actionable solutions that deliver measurable impact.

<aside> <img src="/icons/link_gray.svg" alt="/icons/link_gray.svg" width="40px" /> srihari.is-a.dev

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<aside> <img src="/icons/git_gray.svg" alt="/icons/git_gray.svg" width="40px" /> github/srhr17

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My Services (Only Volunteer Works)

Check out the services offered by me


Services

Skills


Work Experience


<aside> <img src="/icons/badge_green.svg" alt="/icons/badge_green.svg" width="40px" /> Data Scientist Chicago Department of Public Health (CDPH) Apr 2024 – Present | Chicago, IL

Led the Data Modernization Initiative (DMI) by architecting a longitudinal USCDI v4–based data model for 3.7M+ citizens, enabling interoperability across IDPH, CDC, APHL, and Cook County Health.

Standardized clinical records from HL7, FHIR, and CCDA formats, ensuring seamless integration across heterogeneous public health and provider systems.

Engineered a Medallion Architecture–based Azure data lakehouse, cutting redundant storage costs by ~32% while scaling for high-volume public health pipelines.

Built Databricks/Spark ETL pipelines processing 24M+ daily records, reducing ingestion latency by 28% and enabling near real-time outbreak surveillance.

Deployed Splink-based EMPI models with 99% precision, deduplicating and linking patients across disparate sources to create a unified person-level view.

Designed and managed 40+ Tableau dashboards and curated epidemiology views, accelerating leadership decision-making by 45%.

Automated QA checks across 528 columns in 42+ production tables, reducing manual validation by 35%.

Optimized Azure infrastructure costs by 45% per month.

Implemented Active Directory–based governance with catalogs and inventories, ensuring PHI/DUA compliance.

Conducted geospatial analyses on CHI311, SDOH - identifying high-risk neighborhoods and improving intervention speed by 22%.

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<aside> <img src="/icons/badge_lightgray.svg" alt="/icons/badge_lightgray.svg" width="40px" /> Data Scientist Intellihot Jun 2023 – Apr 2024 | Chicago, IL

<aside> <img src="/icons/badge_lightgray.svg" alt="/icons/badge_lightgray.svg" width="40px" /> Data Scientist Intellihot Jun 2023 – Apr 2024 | Chicago, IL


Work Examples


Portfolio Items

Testimonials

Here is what people say about my work


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