I turn messy data into AI people actually use
Data scientist and AI engineer. I build GenAI agents, machine learning models, data pipelines and the dashboards people decide with.
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Ananya Gupta
AI Engineer
Data Science · ML · GenAI
Singapore
PythonSQLLLMsMulti-model agentsNLPComputer visionDeep learningTensorFlowHugging FaceSparkHadoopPower BITableauSplunkC#RSASTypeScriptDockerAWSOracleMSSQL
Skills
From raw data to AI people use.
Four areas I work across, end to end.
Machine learning
Data engineering
Analytics & BI
Also C#, Java, Git, Firebase, React · English and Hindi (fluent), Mandarin (intermediate)
Work
Selected work
Projects across GenAI, machine learning, data engineering and analytics, from industry and NUS.
- 9 projects
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Industry · Warden2024
LLM document intelligence for fintech
An LLM pipeline in TypeScript that extracts and summarises tax details and stock holdings from long financial documents, enriched with AlphaVantage and Xignite data to make recommendations.
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Computer vision + NLP2024
Detecting online dating scams
A model that flags scam profiles from both images and text, to protect people from financial and emotional harm.
96% accuracy -
LLMs2024
NLI with AI-generated explanations
Trained GPT-2 variants to test whether machine-generated explanations help natural language inference as much as human ones.
Accuracy · F1 · BLEU -
Industry · OCBC Bank2023
ETL automation and forecasting
Automated ETL in Python, SQL, VBA and SAS, built forecasting and time-series models, and shipped end-to-end Tableau dashboards for consumer segments.
200% efficiency -
Deep learning2022
Text summarisation & simplification
Benchmarked RNN, LSTM, GRU and Transformer models on research papers, scored on precision, recall and brevity.
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Simulation2023
Transaction simulation for Construcshare
An agent-based model built from scratch to test how website feature changes affect e-commerce engagement.
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Industry · Nugit2022
Automated client reporting
Turned raw CSVs and API feeds into interactive Tableau and R reports for clients like J&J and Kellogg's, with data checks behind a strong renewal rate.
91% client renewal -
Big data
Spark ML and Hadoop MapReduce
Distributed machine learning on banking data with PySpark, and a MapReduce job for the most frequent words in large text data.
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Healthcare web app2022
Post-discharge information manager
A React and Firebase app that pulls hospital data and organises it so discharged patients get clear, complete information on time.
Now · Micron Technology · Jul 2024 – present
Putting it all together as AI Lead for Micron IT
As AI Lead, I design, build and globally scale Micron IT's AI initiatives, and represent the department's AI strategy and roadmap at CEO level.
- Led a cross-functional AI program that put 10+ production agents into daily use across all manufacturing sites
- Multi-model agents and intelligent troubleshooting drove 50%+ productivity gains
- Enterprise-wide dashboards in Splunk, Power BI and Tableau for every manufacturing site
- Automation and workflow redesign for +60% inventory throughput; L3 automation and infrastructure operations for one of the largest data center operations
10+production AI agents in daily use
50%+productivity gains from agents
+60%inventory management throughput
CEOlevel AI strategy and roadmap
About
I'm Ananya, a data scientist and AI engineer based in Singapore.
I studied Data Science & Analytics at NUS, made the Dean's List, and spent three years as Vice President of the Statistics & Data Science Society, running its analytics competition for 800+ students. Internships at Nugit, OCBC Bank and a fintech start-up taught me to ship: reports clients renewed for, pipelines 200% more efficient, LLMs that read financial documents.
Today I'm an IT Engineer at Micron Technology and the AI Lead for Micron IT. I shape our AI strategy and roadmap, presented at CEO level, and lead the program behind 10+ production AI agents used every day across our manufacturing sites.
If you need AI that ships and data you can trust, let's talk.
ananyagupta99200@gmail.com
My journey
2020 → today
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2020
Started at NUS
B.Sc. (Hons) Data Science & Analytics
Majored in Data Science and Analytics with a Second Major in Innovation and Design. Machine learning, AI, NLP, statistical modelling and big data systems.
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2021
Vice President
NUS Statistics & Data Science Society
Judged and led the Annual Data Analytics Competition and industry events with Grab, AI Singapore and Shopee for 800+ students. Built a 2FA password manager for NUS Orbital the same year.
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2021
Data Analysis & Operations Intern
Nugit · Dec 2021 – Jul 2022
Automated interactive client reports in Tableau and R for brands like J&J and Kellogg's. Data cleaning and accuracy checks supported a 91% client renewal rate.
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2023
Data Science Intern
OCBC Bank · May – Dec 2023
Built ETL tools and automation in Python, SQL, VBA and SAS that improved efficiency by 200%, plus forecasting models and end-to-end Tableau dashboards.
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2024
Data / ML Intern
Warden · Jan – Mar 2024
Built an LLM pipeline to extract and summarise financial information for recommendations, with a Node.js, Yarn and Docker front end for end users.
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2024
Graduated from NUS
Dean's List · May 2024
Finished with a Dean's List semester and projects in scam detection (96% accuracy) and LLM-generated explanations for NLI.
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2024
IT Engineer
Micron Technology · Jul 2024
Joined Micron. Built dashboards for every manufacturing site, automated IT and finance operations at L3, and led infrastructure operations for one of the largest data center operations.
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Today
AI Lead, Micron IT
Micron Technology · Present
Leading GenAI for Micron IT: AI strategy at CEO level, global adoption and governance, and 10+ production agents with 50%+ productivity gains.
Now