Masters of Science in Artificial Intelligence
University of Michigan, United States
About me
Hi there! I am Saurabh, a data enthusiast with 2.5 years of experience as a Data Analyst, specializing in machine learning, deep learning, MLOps, and modern data engineering practices. I leverage ML/DL algorithms, AI-driven analytics, and robust ETL pipelines to process vast datasets, identify patterns, extract actionable insights, and evaluate KPIs for measuring ROI. Passionate about applying emerging technologies, I strive to optimize decision-making, enhance operational efficiency, and drive measurable business impact through intelligent, data-powered solutions.
About Me
Data Analytics & AI Engineer
Saurabh's Profile
- Website: Saurabh's GitHub
- Phone: +1-313-415-1819
- Location: Detroit, Michigan
- Age: 25
- Education: MS in Artificial Intelligence
- Freelance: Available
Skills
Resume
My Education
Education is not the learning of facts, but the training of the mind to think.
PG Diploma, Big Data Analytics
C-DAC ACTS, Hyderabad
2022-2023 | Completed (2nd Rank)
B.E. in Mechanical Engineering
University of Mumbai
2016-2020
Experience
Technical Data Analyst Intern
Great American Insurance Group, Cincinnati, OH
Overview of work
- Analyzed large-scale datasets and optimized database queries using SQL and Python.
- Developed and maintained ETL workflows for efficient data ingestion and transformation.
- Worked with Snowflake for data warehousing and built Power BI visualizations.
Value delivered
- Automated ETL and defect-resolution workflows during Snowflake migration, cutting memory usage by 50% and improving data processing efficiency.
- Improved data quality through cross-functional collaboration and validation checks.
- Enhanced knowledge and data accessibility by streamlining SharePoint navigation30% faster and deploying a LangChain-powered RAG model for context-aware retrieval.
Data Analyst
THALES, Mumbai
Overview of work
- Maintained and monitored systems for Thales Face Pod at Mumbai International Airport.
- Daily tooling: Linux, Kubernetes, Azure, DBeaver, SQL, Excel, Power BI, Kibana.
Value delivered
- Ensured high system availability and reliability via proactive monitoring and incident response.
- Generated passenger analytics reports 10,000+ weekly travelers using Excel, Power BI, SQL, and Kibana, providing insights that optimized resource allocation and reduced downtime.
Data Science Intern
Asteric Technocrat (Startup)
Overview of work
- Performed stock market analysis using Moving Averages and Holt Exponential Smoothing and Built customer segmentation and churn prediction models.
Value delivered
- Built customer segmentation and churn prediction models, applying K-Means clustering on 5,000+ records and predictive analytics techniques to improve segmentation accuracy by 15% and increase customer satisfaction by 25% through targeted marketing strategies.
Data Science & Business Analyst Intern
The Sparks Foundation (Startup)
Overview of work
- Explored CNN/RNN approaches and built predictive prototypes for object detection tasks.
- Developed dashboards in Power BI.
Value delivered
- Achieved 91% mAP in PCB quality assurance by optimizing defect detection models, reducing manual inspection time by 40% and cutting operational costs.
- Delivered real-time defect analytics pipelines that boosted production throughput and enabled data-driven process improvements.
Data Science Intern
Code Clause
Overview of work
- Stock market prediction using stacked LSTM and DNN (Keras/TensorFlow).
Value delivered
- Built forecasting models and documented results for iterative improvements.
Projects
Agentic RAG
Objective
Build an agentic Retrieval-Augmented Generation(Groq-LLM) pipeline that autonomously plans tool usage search, Supabase-vector DB, web retrieval and routes queries through specialized sub-agents for higher accuracy and traceability.
Results
Reduced hallucinations and improved answer fidelity via tool-aware planning and multi-hop retrieval; delivered citations and step logs for auditability.
Voice AI Agent
Objective
To develop an intelligent Voice AI Hotel Reservation Agent using Retell.ai that seamlessly interacts with customers, checks real-time calendar availability, and autonomously books reservations, delivering a frictionless and personalized hospitality experience.
Results
Successfully enabled end-to-end hotel booking without manual intervention, reducing staff workload, improving response time, and ensuring seamless customer experience.
Persistent Chatbot (LangGraph)
Objective
Design a stateful chatbot using LangGraph with long-term memory, branches for tool nodes search/DB, and resumable workflows across user sessions.
Results
Conversation state persisted per user, improved task completion rate via memory recall and deterministic tool routing observability with node-level traces.
Predicting Election Results on Polling Data
Objective
Build a machine learning model to predict election results based on polling data using Random Forest, Plotly, and Pandas.
Results
Delivered a robust model with actionable insights and visualizations for polling trends.
Real Time Object Detection
Objective
Transfer learning (ImageNet) to build a face detection model with CNN + Keras.
Results
Working prototype demonstrating real-time face detection with good test accuracy.
Walmart Sales Forecasting
Objective
ETL to extract from GitHub, load into Spark DataFrames, persist to MongoDB; Pandas-driven analysis and forecasting.
Results
Higher data quality and forecasting insights that improved sales planning.
Get in Touch
