Hello, I'm

Shruti Dhamdhere

/ shroo-tea /

Building quiet data systems that do the heavy lifting.
Helping teams move faster and decide better.

Shruti Dhamdhere

About Me

A bit more about me

I'm a Data Scientist and Analyst who cares more about practical impact than impressive jargon. Most days, that means cleaning messy data, smoothing out clunky processes, and building systems that help people move faster without thinking harder. I love the craft of making complicated things feel simple and turning "it works" into "it works every time."

Good data workflow, to me, is quiet and dependable. It is the kind of infrastructure you only notice when it's missing.

Outside of work, I'm a chef, an exuberant host, and a professional over-planner of dinners that somehow turn into the best conversations. I love trying new tech, exploring new cities, and eating like a local wherever I land.

I love fresh air, long walks, good movies, and unsolicited dog-and-cat encounters. I'm a space nerd at heart. It's a constant reminder that scale changes meaning, and data is where I work with that idea in practice.

Experience

Where I've worked

Data Scientist

Jan 2026 - Present

Humanitarians AI, Boston

Building AI-powered integrity systems that analyze 300K+ playlists across music streaming platforms, protecting artist royalties from bot farm manipulation and preventing over $2B in potential annual royalty loss.

Data Scientist

Sept 2023 - Sept 2025

Northeastern University, Boston

Built three production-grade ML systems: a fraud decisioning pipeline processing 500 TPS at 200ms latency, a recommendation engine trained on 100M+ ratings simulating $1.2B in recoverable revenue, and a financial research system cutting analyst research time from 4+ hours to 20 seconds.

Data Analyst Co-op

Sep 2024 - Dec 2024

Combined Jewish Philanthropies, Boston

Migrated 4M+ donor records and improved data quality from 70% to 99%, rebuilding the full reporting stack to give finance and C-suite leadership real-time visibility across 12+ KPIs.

AI Engineer

Apr 2023 - Jul 2023

Indian Institute of Science Education and Research (IISER) Kolkata, India

Fine-tuned OpenAI and Meta translation models on 50K low-resource language pairs, achieving a BLEU score of 51 on par with human benchmarks, advancing NLP access for 15 million underserved speakers.

Data Scientist

Nov 2021 - Apr 2023

Shobi Group, Pune

Delivered end-to-end demand forecasting across a $50M FMCG supply chain portfolio, improving forecast accuracy by 25%, reducing inventory holding costs by 30% and saving the client approximately $4M annually.

Co-Founder

Dec 2019 - Nov 2021

Pyibar Private Limited

Co-founded a global commerce venture, identifying product-market fit in high-demand sneaker and streetwear markets and building end-to-end sourcing and reshipping operations across the US, UK, Singapore, and UAE, achieving 200k USD in revenue annually.

Projects

Things I've built

Early Warning Analytics for Physical Systems

Analyzed multivariate sensor time-series from NASA's C-MAPSS turbofan dataset to detect early drift and variance changes signaling system degradation.

Time-SeriesSensor DataAnomaly Detection

Device State Prediction

Predicted device states from sensor data at 97% accuracy using ensemble models (XGBoost, Random Forest, CNN-LSTM) with temporal heatmap analysis.

XGBoostCNN-LSTMClassification

TrendSage AI

Pipeline using YouTube API, OpenAI embeddings, and K-means to cluster 100K+ product videos. Forecasted trend momentum with Prophet and visualized in Tableau.

ProphetK-MeansOpenAITableau

Personalized Content Recommender

Processed 1M Pinterest pins with PySpark into Snowflake. Fine-tuned SBERT + ResNet hybrid lifting CTR 18%. Deployed FastAPI + Kafka at sub-250ms P95.

PySparkSnowflakeFastAPIKafka

Domain-Aware QA System

End-to-end RAG pipeline combining semantic vector retrieval and LLMs for grounded, context-aware answers with reduced hallucinations.

RAGLLMsVector Search

Data-Quality ETL Framework

Dockerized ETL with 40+ validation rules on IMF GDP datasets, audit logs to SQL Server, and a Power BI error-KPI board cutting downstream defects.

DockerETLPower BISQL Server

Buffett-Agent

Fine-tuned a Buffett-style LLM agent on 25K Q&A pairs with LoRA/QLoRA, achieving 8.8% BERTScore gain in persona-aligned reasoning.

LoRAFine-tuningLLM

Education

Where I studied

Northeastern University

M.S., Data Architecture & Management

GPA: 3.8/4.0

Graduate TA — Big Data Architecture & Governance

Pune University

B.Tech., Electronics & Telecommunication

GPA: 9.4/10

Toolkit

What I work with

PythonSQLCypherJavaExcelTableauPower BIQuickSightStreamlitR ShinyPython DashPlotlyAWSAzureGCPMySQLClickHousePostgreSQLSnowflakeBigQueryAzure SynapseNeo4jNumPyPandasScikit-learnTensorFlowPyTorchHugging FaceLangChainLangGraphChromaDBFAISSRAGPrompt EngineeringClaudeOpenAIGeminiNLTKTA-LibBERTResNetXGBoostLightGBMFlaskFastAPIKafkaPySparkDatabricksAirflowdbtMuleSoftDockerMLflowCI/CDMachine LearningFraud DetectionCredit Risk ScoringA/B TestingDemand ForecastingData WranglingTime-SeriesStatistical Process ControlAnomaly Detection

Recognition

A few highlights

Au

Gold Medal — Data Analytics, IIT Bombay General Championship

Ag

Silver Medal — Opensoft, IIT Bombay General Championship

1st

1st Place — Society of Women Engineers Business Analyst Competition

Get in touch

Let's connect

Open to data science roles, collaborations, or just a good conversation about messy datasets and clean pipelines.