EDA on Titanic Dataset
Comprehensive exploratory data analysis using Pandas, Matplotlib and Seaborn to uncover survival patterns and feature correlations.
PythonPandasMatplotlibSeaborn
Welcometo my portfolio website!Hey folks, I'm Dheeraj
Hey folks, I'm Dheeraj
Building a successful product is a challenge. I bring expertise in Artificial Intelligence, Machine Learning, and Data Science.
import torch
RAG · LangChain
LLM · Fine-tune
Me
A quick snapshot.
The person behind the code.
About Me
Welcome to the Dheeraj Zone: Where Code Meets AI!
Let's talk about me,
Based in
India
FocusAI / ML / GenAI
StackPython · PyTorch · LangChain
CurrentlyB.E. AI/ML @ SPPU
AvailabilityOpen to opportunities
I'm an aspiring AI/ML engineer with hands-on experience in data science, SQL, predictive modeling and GenAI prototypes. I love turning messy data into products — from EDA notebooks and end-to-end ML pipelines to RAG-powered chatbots.
Across three internships I've built predictive models, shipped healthcare dashboards and integrated GenAI into Django backends. I'm eager for entry-level AI/ML roles where I can keep learning and build things people actually use.
AIMachine LearningData ScienceGenerative AIPythonSQLLLMsRAGDjango
Education
Formal training in AI/ML.
B.E. Artificial Intelligence & Machine Learning
Savitribai Phule Pune University (SPPU), India
Core coursework: Machine Learning, Deep Learning, NLP, Database Management, Data Structures. Relevant Projects: EDA, Chatbot using NLTK, Hospital Data Management, GenAI prototypes.
Experience
Where I've built and shipped.
Dec 2024 — Feb 2025
Data Scientist Intern
ScaleFULL Technologies, Pune
- Built predictive models on real-world datasets to extract business insights and optimize decisions.
- Designed and implemented end-to-end ML pipelines covering preprocessing, feature engineering, and visualization.
Apr 2025 — Oct 2025
Data Analytics Intern
Anudeep Foundation, Pune
- Analyzed healthcare project data and built interactive dashboards using Excel and SQL.
- Cleaned, transformed, and interpreted large-scale datasets to support data-driven strategies.
Oct 2025 — Jun 2026
Python Web Developer Intern
Qspiders
- Developed scalable backend services using Django and Python REST frameworks.
- Integrated AI capabilities into web applications, focusing on GenAI features and API design.
Skills
Tools I use to ship intelligence.
Grouped by discipline. Bars animate on scroll.
Programming
Python92%
SQL85%
OOP82%
APIs & REST80%
Django78%
Machine Learning
Supervised Learning88%
Unsupervised Learning78%
PyTorch72%
NLP80%
Neural Networks75%
Data Preprocessing90%
Feature Engineering85%
Generative AI
Prompt Engineering88%
LLMs82%
RAG80%
LangChain76%
Fine Tuning68%
AI Chatbots85%
Data Analytics
Pandas92%
Power BI82%
Matplotlib / Seaborn85%
EDA90%
Soft Skills
Communication88%
Analytical Thinking92%
Creativity85%
Adaptability90%
Projects
Selected experiments & builds.
A mix of analytics, chatbots and RAG prototypes.
GenAI Chatbot
Intent-based chatbot built with semantic prompt techniques from LLM providers, extended with basic RAG for better knowledge retrieval.
LLMsNLTKPrompt EngineeringRAG
RAG-based Q&A Prototype
Experimental retrieval-augmented generation pipeline with LangChain, FAISS and open-source LLMs for domain-specific document QA.
LangChainFAISSOpen-source LLMsPython
Expertise
Where I bring real depth.
The disciplines I lean on to design, build and ship AI systems.
Machine Learning
Supervised & unsupervised models, feature engineering, evaluation and end-to-end training pipelines with scikit-learn and PyTorch.
- Classification, regression & clustering
- Feature engineering & evaluation
- Reproducible training pipelines
scikit-learnPyTorchXGBoostPandas
Generative AI
LLM prompting, RAG pipelines with LangChain & FAISS, intent-based chatbots and lightweight fine-tuning experiments.
- RAG over custom knowledge bases
- Prompt design & guardrails
- Chatbot & agent prototypes
LangChainFAISSOpenAIHuggingFace
Data Analytics
EDA, SQL, dashboards and storytelling with Pandas, Matplotlib, Seaborn and Power BI on real-world project data.
- Exploratory data analysis
- Insight-driven dashboards
- Clear data storytelling
SQLPandasPower BISeaborn
Python Backend
Django REST services integrated with AI capabilities, clean APIs, and production-style ML deployment patterns.
- REST APIs with Django & DRF
- AI features wired into backend
- Deployment-ready patterns
DjangoFastAPIDRFPostgreSQLREST
Achievements
Moments worth shipping.
Multi-domain Internship Experience
Completed three internships spanning data science, analytics and Python web development.
GenAI Prototyping
Built end-to-end GenAI prototypes including intent-based chatbots and RAG pipelines.
End-to-End ML Pipelines
Designed production-style pipelines covering preprocessing, feature engineering, modeling and visualization.
Contact
Let's build something intelligent.
Have an internship, role or GenAI idea? Send a note.