AI/ML Engineer · Data Scientist · Python/Django Backend Developer. Building intelligent systems with machine learning, data analytics, and scalable Python backends — engineered from Jaipur, India.
Four services built on the same stack behind my 14 shipped projects — fixed-scope engagements where you approve the quote before the build starts.
Full-stack web applications and REST APIs built with Python and Django — auth, admin, and endpoints any frontend can talk to.
Turn raw CSVs, spreadsheets, and databases into analysis people can act on — with dashboards that answer the real questions.
Predictive models trained and evaluated honestly — preprocessing, real metrics, and a pipeline ready to run on new data.
Python automation for repetitive work — scrapers, scheduled jobs, report generators, and glue between systems.
Free 30-minute call. Requirements, constraints, and success criteria — written down.
Fixed quote and timeline approved up front, then demos at every checkpoint.
Live in your environment with repo access, docs, and a walkthrough.
Fixes and improvements after launch — the engagement doesn’t end at go-live.
Three overlapping disciplines — machine learning, data science, and backend engineering — delivered in clean, maintainable Python.
Building machine learning models and AI applications in Python — data preprocessing, feature engineering, model selection, and hyperparameter tuning on real datasets.
Exploratory analysis, data cleaning, predictive modeling, and insight generation — turning raw data into retention strategies and decision-ready dashboards.
Full-stack Python/Django development — MVC architecture, secure authentication, REST-style data flows, and responsive frontends with HTML, CSS & Bootstrap.
Relational schema design with MySQL, disciplined Git/GitHub workflows, and collaborative development practices for clean, reviewable codebases.
Three detailed showcases — machine learning, data analytics, and a Python/Django web platform — plus 11 more repositories from my GitHub, each linked straight to its source code.
Machine learning model predicting house prices from location, size, and amenities using Python & scikit-learn.
A comprehensive regression project covering the full ML workflow — data preprocessing, feature engineering, model training, and evaluation. Implemented with pandas and NumPy for data handling and scikit-learn for modeling, achieving strong predictive accuracy on housing data.
Classification project predicting churn risk and identifying the retention factors that actually matter.
A churn prediction system built with machine learning classification algorithms. Performed exploratory data analysis, feature importance analysis, and predictive modeling to flag customers at risk — then translated the findings into actionable customer-retention strategies.
Dynamic social platform with secure authentication, customizable profiles, and social interactions.
A full-featured social media application built with Python and Django. Users create posts, follow other users, like and comment on content, and manage personal profiles — all behind secure, session-based authentication with a clean, intuitive interface.
Django REST Framework backend for a luxury bangles store — SimpleJWT authentication, django-filter querying, and SQLite storage ready to swap for PostgreSQL.
Cleans and transforms raw ecommerce sales data with Python and SQL, then reports trends and KPIs in a Power BI dashboard.
Processes sales data to identify trends and evaluate vendor performance — data cleaning, exploratory analysis, and visualization end to end.
Runs inference on housing data with a saved model and preprocessing pipeline — loads model.pkl and pipeline.pkl to predict median_house_value.
Analyses and forecasts daily store sales on the Kaggle Store Sales dataset — explores seasonality and measures how close predictions land to actuals.
Power BI dashboard over MySQL pizza sales data — total revenue, orders, and average order value, plus category and size performance.
Power BI dashboard for Blinkit covering sales, ratings, item types, outlet formats, and customer preferences.
Machine-learning notebook built on the classic Iris dataset.
A Django-based blog application.
A Django question-polls application.
A collection of Django projects — Python backend practice work.
The complete technical toolkit I use to build intelligent systems — from Python and machine learning to Django backends and relational databases.
OOP, data structures, scripted automation, web development with Django, and the entire scientific Python ecosystem.
MVC architecture, ORM models, session-based auth, template rendering, and production-grade web application structure.
Client-side interactivity, DOM manipulation, and responsive layouts with HTML5, CSS3, and Bootstrap.
Regression and classification pipelines, model selection, hyperparameter tuning, and evaluation with scikit-learn.
DataFrames, vectorized computation, missing-data handling, grouping, merges, and feature-matrix construction.
Exploratory plots, distribution analysis, correlation heatmaps, and clean chart design for insight communication.
Exploratory data analysis, feature importance studies, business Intelligence reporting, and data-driven decisions.
Applying ML models to real products — prediction engines, churn flags, and automation within web applications.
Train/test splits, cross-validation, R², RMSE, accuracy, precision/recall, and confusion-matrix analysis.
Schema design, normalized models, JOIN queries, indexing, and ACID transaction safety for Django applications.
Deterministic endpoints, structured JSON responses, proper status codes, and third-party API integration patterns.
Branching, commits, pull requests, and collaborative workflows that keep codebases clean and reviewable.
A six-stage pipeline I run on every data and software project — from raw data to deployed, decision-ready systems.
01 / Data Collection
02 / Exploration & Cleaning
03 / Feature Engineering
04 / Model Training
05 / Evaluation & Tuning
06 / Deployment & Insights
A structured computer-science foundation in Jaipur, Rajasthan — from the BCA core curriculum to an ongoing MCA specialization.
University of Rajasthan, Jaipur
Currently pursuing a postgraduate degree deepening my knowledge of software engineering, advanced data structures, and applied computing.
University Commerce College, Jaipur · GPA: 7.4 CGPA
A rigorous undergraduate curriculum spanning programming, database systems, web development, and mathematics.
TechnoGlobe, Jaipur, India
Industry training covering core Python, object-oriented programming, and practical application-building.
I am Pankaj Kumawat, a software engineer based in Jaipur, Rajasthan, specializing in AI/ML engineering, data science, and Python/Django backend development.
My process starts with clean, well-understood data. I build predictive models that generalise beyond the training set, then wrap them in applications people can actually use — balancing statistical rigor with pragmatic, maintainable engineering.
Across 14 projects — House Price Prediction, Customer Churn Analysis, ConnectSphere, plus 11 more GitHub repos spanning Django REST APIs, sales analytics, forecasting, and BI dashboards — I’ve turned real problems into working software: from regression pipelines to a Django platform with secure authentication and a real-time social graph.
When I’m not coding, you’ll find me reading about AI/ML trends and software engineering, exploring new data-science tools and machine-learning frameworks, or solving interesting programming problems.
Validated academic and professional credentials across computer science, Python development, and applied computing.
TechnoGlobe · Jaipur, India
Core Python, object-oriented programming, and practical application building — the foundation of every project I ship.
University Commerce College · Jaipur
Undergraduate degree spanning programming, database systems, web development, and computer science fundamentals — 7.4 CGPA.
University of Rajasthan · Jaipur
Postgraduate program in progress — advanced software engineering, algorithms, and applied computing.
Code With Harry
Structured coursework in Python for data analysis, machine learning, and applied data science — completed through hands-on projects.
Direct answers about my engineering approach, projects, pricing, and availability.
Intelligent systems sit on top of clean software. I approach them together: machine-learning models are only valuable when they’re wrapped in reliable, maintainable applications. That combination — building predictive models in Python and shipping them inside Django web apps — is where I do my best work.
Three focused projects: House Price Prediction and Customer Churn Analysis (AI/ML and data analytics), and ConnectSphere (a Python/Django social platform with authentication and real-time interactions).
Clean data first, then honest evaluation. I handle missing values and outliers during preprocessing, split data into held-out sets, and validate with metrics like R², RMSE, and cross-validation rather than relying on training accuracy alone.
Yes. I’m open to software engineering, AI/ML, data science, and backend development opportunities — internships, remote contracts, or full-time roles. Reach out directly through the terminal below or via LinkedIn.
Python, Django, scikit-learn, pandas, NumPy, MySQL, REST APIs, Git, and visualization tools like Matplotlib and Seaborn — see the skills matrix for the complete list.
Based in Jaipur, Rajasthan, India. Open to software engineering, AI/ML, data science, and backend opportunities — internships, remote contracts, or full-time roles.
Fixed-scope quotes — no hourly surprises. We start with a free 30-minute call to define the work, then you get a written proposal with price and timeline before anything begins. First reply lands within 24 hours.
Automations and dashboards usually ship in 1–2 weeks; web apps and machine-learning builds typically run 3–6 weeks depending on scope. You get a firm timeline with the quote — and progress updates at every checkpoint.
Send a brief through the terminal below with the service you need. I reply within 24 hours, we book a free 30-minute scoping call, and you receive a fixed quote and milestone plan. Fully remote and async-friendly, with email updates at every checkpoint.
Have a role to fill, an intelligent system to build, or a dataset that needs answers? Submit a message directly to my inbox.
AI/ML · Data Scientist · Python/Django
Open to opportunities · Jaipur, India