Hi π,
I'm Rahul
AI & Data Professional
Building intelligent systems that turn complex data into real-world decisionsβthrough machine learning, automation, and human-centered analysis.
About Me

Machine Learning Engineer & Data Scientist
With 4+ years of experience across the finance and travel industries, I specialize in designing end-to-end machine learning solutions that turn data into measurable business outcomes. Currently pursuing my MS in Data Science at the University of Maryland, I bring a blend of deep technical expertise and strategic thinking to build scalable, explainable AI systems that drive real-world impact.

University of Maryland
Master of Science in Data ScienceKey Courses
- Probability & Statistics
- Principles of Data Science
- Principles of Machine Learning
- Big Data Systems
- Algorithms for Data Science
- Data Representation and Modelling
Notable Achievements
- GPA: 4.0/4.0

Indian Institute of Technology (BHU) Varanasi
Bachelor of Technology in EngineeringKey Courses
- Engineering Mathematics
- Computer Programming
- Numerical Techniques
- Mathematical Methods
Work Experience

Data Scientist β Jet2 Holidays
- Developed a call transcript classification pipeline using LLMs and few-shot learning, reducing manual effort by over 60%.
- Built dynamic risk scoring models (LSTM, ensemble) for pricing and route optimization, directly impacting business strategy.
- Designed a real-time disaster detection system using topic modeling and anomaly detection (Isolation Forest).
- Collaborated with cross-functional teams on documentation, reporting, and ML-to-business integration workflows.

Data Scientist β Fibe
- Prototyped income estimation models to improve credit approval decisions.
- Collaborated on stakeholder reporting using visual summaries and compliance-driven communication.

Associate Data Scientist β ATCS
- Built a classification model for legal document tagging using transfer learning and NLP preprocessing.
- Created modular pipelines for automated document ingestion and labeling accuracy validation.

Research Intern β Axio
- Developed dashboards and reporting templates for loan segmentation and risk analysis.
- Created structured executive summaries to support funding and strategic planning discussions.
Projects
Skills
Python (Advanced), SQL (Advanced), PySpark (Intermediate), C/C++ (Intermediate), MATLAB (Intermediate), JavaScript
LLMs, Generative AI, RAG Systems, Deep Learning, Machine Learning, Model Development & Deployment, Clustering, Anomaly Detection, Computer Vision, NLP
TensorFlow, PyTorch, Transformers, OpenCV, Statsmodels, Langchain, LangGraph, MCP, FastAPI, Scikit-learn, Pandas, NumPy
MS SQL Server, MySQL, Snowflake, Redshift, Hadoop, Spark, Supabase, Neo4j, pgvector, Data Pipelines, ETL/ELT
AWS, GCP, Azure, Docker, GitHub Actions, CI/CD, MLOps, Kubernetes, Infrastructure as Code
Tableau, Power BI, Matplotlib, Seaborn, Statistical Analysis, A/B Testing, Data Storytelling, Business Intelligence
Dataiku, Knime, Databricks, Git, Vercel, Railway, Jupyter, VS Code, Postman, API Development
Communication, Storytelling, Stakeholder Collaboration, Problem Solving, Ownership, Agile MVP Mindset, Cross-functional Team Leadership