Saurabh R.
Data Analyst @AAS | RAG & Agentic AI pipeline | SQL & Power BI Developer | Former Thales Professional | Agile | 3+ Exp | University of Michigan MS-AI Student | ML & GenAI Enthusiast | Always Evolving and Adapting
- Role
- Data Science Intern at Accounting Aid Society
- Location
- Detroit, MI, US
- LinkedIn followers
- 500 followers
About Saurabh R.
Data Analyst & Data Scientist | Turning Data into Actionable Intelligence | LLMOps & AI Systems Enthusiast About Me:I am a Data Analyst intern at Accounting Aid Society, leveraging data to support financial decision-making and assist clients through programs like VITA, ensuring accurate federal, state, and city tax filings. With 4+ years of combined industry and academic experience across healthcare, fintech, and finance, I translate complex datasets into actionable insights. My experience in client interaction and cross-functional collaboration helps align data solutions with real business needs. I combine analytics skills in Python, SQL, and statistics with AI approaches like LLMOps, RAG, and agentic workflows. I focus on building scalable, data-driven solutions that enhance efficiency and decision-making while effectively communicating insights to technical and non-technical stakeholders. Technical Experience: Data Analytics & Engineering: Proficient in SQL, Python, and Excel for data cleaning, transformation, and analysis. Experienced in building ETL pipelines, automating workflows, and handling production-level datasets. AI & LLM Integration: Hands-on with LangChain, LangGraph, and n8n for context-aware, stateful AI systems. Developed RAG-based solutions and worked with vector databases, embeddings, and LLM orchestration using Azure AI Foundry. Machine Learning & Deep Learning: Skilled in supervised and unsupervised learning including regression, classification, clustering, and ensemble methods (Random Forest, XGBoost). Familiar with CNNs, LSTMs, and transformer-based models including BERT and vision-language models. Statistical Analysis: Strong foundation in hypothesis testing, correlation analysis, and predictive modeling for data-driven decisions. Data Visualization & Reporting: Skilled in Power BI, Tableau, and Excel dashboards to communicate insights effectively. Cloud & Big Data: Experience with AWS (EC2, S3), Azure AI Foundry, Snowflake, and PySpark for scalable data processing and deployment. My Arsenal:Programming & Tools: Python, PL/SQL, R, SAS, Alteryx, Excel, AWS, AzureDatabases & Warehousing: MySQL, Snowflake, RedshiftBig Data Ecosystem: PySpark, Hadoop, Hive, KafkaMachine Learning & AI: Regression, Decision Trees, Random Forest, SVM, XGBoost, Neural Networks, Transformer models
Experience
Data Science Intern
Jan 2026 — Present · US
Collaborated cross-functionally with Accounting, Finance, and Compliance teams to resolve data issues and prepare governmental reports, ensuring audit readiness, smooth reviews, data governance.• Analysed and reconciled high-volume financial and tax data using SQL, QuickBase-Data Analyzer, advanced Excel Pivot Tables, XLOOKUP, reducing calculation discrepancies and significantly improving reporting accuracy.• Interacted directly with clients to gather financial information and provided guidance and support to team members to ensure accurate, timely filings of federal, state, and city income tax returns.
Education
Centre for Development of Advanced Computing (C-DAC)
Post Graduate Diploma, Big Data Analytics
University of Mumbai
Bachelor of Engineering - BE, Mechanical Engineering
University of Michigan-Dearborn
Masters of science , Data Science and AI
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