Open to opportunities

Srini Ch

@srinich

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I build production-ready machine learning, forecasting, causal inference, and GenAI solutions.

United States

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What I'm looking for

I'm looking to build and evaluate production machine learning, forecasting, causal analysis, or GenAI systems where rigorous validation, reliable data foundations, and measurable business impact matter.

At DreamStudio, I built the analytical data foundation for a modeling platform spanning 3,000+ US counties, making downstream metrics and models run on trustworthy inputs.

I benchmarked model families from logistic regression to XGBoost, used SMOTE and SHAP to validate and explain predictions, and improved a segment's median R2 from -0.04 to 0.49 by expanding historical coverage.

I've evaluated LLMs and agentic AI outputs at Handshake AI, identifying issues including data leakage, invalid cross-validation, metric selection errors, and flawed statistical assumptions. I also build RAG assistants, forecasting systems, and causal uplift models with reproducible evaluation.

My work connects rigorous experimentation, Python and SQL data foundations, and stakeholder-ready dashboards in Streamlit, Power BI, and Tableau.

Experience

Work history, roles, and key accomplishments

Data Scientist

DreamStudio

Sep 2025 - Jun 2026 (9 months)

Built and validated the analytical data foundation for a modeling platform, integrating data across 3,000+ US counties. Benchmarked five model families, evaluated MLP regressors, and delivered results through interactive dashboards.

Python SQL AWS SMOTE SHAP XGBoost Logistic Regression Time Series Streamlit Power BI

AI Trainer, Data Science and ML Expert

Handshake AI

Mar 2026 - Apr 2026 (1 month)

Designed structured evaluation protocols for benchmarking LLMs and agentic AI outputs on data science and ML tasks. Conducted root-cause analysis and created failure taxonomies and comparative assessment reports.

LLM Evaluation Data Science Machine Learning Python SQL Root Cause Analysis

Graduate Teaching Assistant, ML Systems

University of Maryland, College Park

Aug 2024 - May 2025 (9 months)

Applied ANOVA, regression, and post-hoc testing to student performance measures and built Tableau KPI views. Reviewed and evaluated 40+ machine learning implementations across 160+ graduate students.

ANOVA regression Tableau SQL Data Modeling Query Optimization Machine Learning

AI/ML Intern, Computer Vision

Coincent

Jun 2022 - Dec 2022 (6 months)

Trained and compared deep learning image-classification models in Python and PyTorch, reaching over 90 percent test accuracy. Audited class distribution and dataset quality before modeling.

Python PyTorch Deep Learning Data Quality

AI/ML Intern, NLP

Internship Studio

Jan 2022 - May 2022 (4 months)

Fine-tuned transformer models for machine translation, lifting held-out BLEU roughly 20 percent over the pretrained baseline. Investigated training-data composition across 40+ language pairs.

NLP Transformers Machine Translation BLEU Python Data Analysis

Education

Degrees, certifications, and relevant coursework

University of Maryland, College Park

Master of Science, Data Science

2023 - 2025

Pursued a Master of Science in Data Science with coursework in machine learning, deep learning, natural language processing, big data systems, cloud computing, and probability and statistics.

SASTRA Deemed University

Bachelor of Technology, Electrical and Electronics Engineering

2019 - 2023

Earned a Bachelor of Technology in Electrical and Electronics Engineering with coursework in machine learning techniques, linear algebra, probability, and programming in Python and C++.