Open to opportunities

Meet Doshi

@meetdoshi

Message

Data Scientist specializing in generative AI, LLMs, and scalable data pipelines.

India

Message

What I'm looking for

I seek a role leveraging generative AI and scalable data pipelines where I can deploy production ML, collaborate cross-functionally, and drive measurable product and revenue impact in a growth-oriented team.

I am a Data Scientist with 4+ years of experience building machine learning models, generative AI solutions, and scalable data pipelines that improve product metrics and operational efficiency. I have implemented LLM solutions, RAG pipelines, and predictive models using Python, PyTorch, Hugging Face, XGBoost, and cloud services to deliver measurable business impact.

I have driven serverless CDC and Athena/Glue pipelines, automated reporting for hundreds of users, and developed dashboards that boosted feature adoption and revenue. I collaborate cross-functionally with product and engineering to deploy reproducible, production-ready analytics and continuously optimize model and data quality.

Experience

Work history, roles, and key accomplishments

Current

Senior Product Data Scientist

Current

Yembo

Aug 2025 - Present (4 months)

Architected a serverless CDC pipeline replicating 1.5M+ MongoDB records and flattened 450+ nested JSON fields to enable incremental processing; automated reporting for 500+ agents saving 90+ hours yearly and designed Power BI dashboards that boosted feature adoption to 52%, projecting $376K+ incremental revenue.

AWS Glue Athena Pyspark Python Power BI SQL ETL Data Pipelines

Financial Data Analyst

University of Maryland

Jan 2025 - Aug 2025 (7 months)

Engineered a scalable data pipeline with Python and Apache Airflow to migrate 10M+ financial records to Workday on AWS, ensuring zero downtime and 40% faster processing; automated transformations to support financial systems integration.

Python SQLAlchemy Pandas Apache Airflow AWS S3 Data Migration ETL Workday

Data Scientist

Blend360

Jul 2024 - Jan 2025 (6 months)

Built automated AWS Athena pipelines processing 13M+ rows and streaming JSON to reduce retrieval time by 60%; developed XGBoost models and feature engineering that projected $3.7M revenue and delivered a 42% conversion uplift via rigorous evaluation and A/B testing.

Snowflake Pyspark XGBoost SQL Tableau A B Testing SHAP

Generative AI Research Engineer

University of Maryland – Deloitte

May 2023 - Dec 2023 (7 months)

Implemented zero-shot DeBERTa classification achieving 81% accuracy and reduced manual review by 20%; developed RAG pipelines with Hugging Face models (BART, T5) for misinformation detection and compliance tasks.

Hugging Face DeBERTa RAG Python BART NLP Model Evaluation Transformers

Data Analyst

Arihant Corporation

Oct 2021 - May 2022 (7 months)

Built Tableau dashboards to monitor inventory and sales KPIs, improving inventory management by 10% and supporting operational decision-making with automated reporting.

Tableau SQL Data Visualization Inventory Analysis Dashboarding KPIs Reporting

Data Analyst – Associate

Accenture Solutions Pvt. Ltd.

Jan 2021 - Oct 2021 (9 months)

Analyzed user behavior with SQL and Tableau to improve SAP UX, increasing user satisfaction by 15%, and collaborated with DevOps to reduce query response time by 30% via ServiceNow-driven fixes.

SQL Tableau Process Optimization ServiceNow Data Analysis Reporting

Education

Degrees, certifications, and relevant coursework

University of Maryland

Master of Science, Information Systems

2022 - 2023

Completed a Master of Science in Information Systems with coursework and projects focused on machine learning, data engineering, and scalable pipelines.