Education · 2020
New York University
Master of Science, Management of Technology — focus on Business Intelligence.
Business Intelligence · Data Analytics · Applied ML
Sritham Thyagaraju
I turn messy data into clear decisions — dashboards, forecasts and AI tools that people actually use.
Currently
BI Analyst III
@ Applied Materials
Whoam I?
A bit about me
Six years of
data, code &
teams
A technology professional who uses data to find revenue, cut risk, and help leaders decide faster.
Over six years across analytics, development and team leadership, I've built dashboards that finance leadership relies on, machine learning models that forecast key business metrics, and the data pipelines underneath them.
Most recently I led a cross-functional team bringing ChatGPT into a Finance organization — finding the practical use cases, supporting teams hands-on through adoption, and making everyday work faster.
I hold a Master of Science in Management of Technology from NYU, with a focus on Business Intelligence.
6+
Years in analytics, development & leadership
$3M+
Potential loss identified & mitigated through analysis
20+
Dashboards built on a single IoT project
80%
Accuracy predicting COVID-19 peak dates
WorkHistory
Where I've been
From IoT dashboards
to AI in finance
- BI Analyst III Applied MaterialsLed GenAI adoption across Finance 2023 — Now
- BI Analyst II Applied MaterialsGross margin dashboards · ML forecasting 2021 — 2023
- Business Analyst Gillings SPHExecutive dashboards · Python automation 2020 — 2021
- Data Science Intern Fabuwood CorporationMonte Carlo & ARIMA forecasting 2020
- Analyst Intern NYC Dept. of FinanceCut data migration issues from 30% to 4% 2019
- Graduate Assistant New York UniversityETL & admissions analytics 2018 — 2020
- Project Engineer Wipro TechnologiesLed UI team · cut platform costs 13% 2015 — 2018
ToolKit.
Expertise & skills
What I work with
every day
Languages & Data
PythonSQLSASRJavaScriptJavaHadoop ImpalaHiveCloudera
Visualization
TableauPower BIAlteryxGrafanaGoogle AnalyticsHTML
Analytics
Machine LearningPredictive AnalyticsStatisticsGenerative AIData GovernanceRisk AssessmentProject Management
Publication · 2020
Monte Carlo vs. COVID-19
Co-authored an article in Genetic Engineering & Biotechnology News on using Monte Carlo simulations to inform COVID-19 policy. The peak-date predictions were 80% accurate and used in Washington State decision making.
Alright, that's the short version…
Full site
coming soon
I'm designing a proper portfolio with projects, case studies and dashboards. Thanks for stopping by — check back in a few days.