Aspiring ML Engineer & Data Scientist — Pre-final year B.Tech CSE (CGPA 8.0+).
Practical ML & Data Science skills backed by 10+ live deployed
projects — EDA, ML pipelines, Scikit-learn, Pandas, SQL, DSA. I build real products that solve real
problems — immediately available.
I'm Shivansh Mishra, a pre-final year B.Tech CSE student at BBD University, Lucknow, specializing in Cloud Computing & Machine Learning.
I have solid practical and hands-on knowledge of ML, EDA, Pandas, NumPy, Scikit-learn, SQL, C, and DSA — proven by 10+ live deployed projects accessible publicly. Not notebooks sitting on a local machine. Real apps solving real problems, in production.
A curated view of my technical toolkit — core languages to production tooling.
Other languages (JS, React, FastAPI etc.) are used via AI-assisted vibe coding — see Web, Mobile & Backend tab.
From ML models to live deployed products — everything I've shipped.
💡 Problem: Legal help is inaccessible to 90% of India's population due to cost & complexity.
AI-first legal accessibility platform with a "Raksha Mode" emergency logic system. Demonstrates product thinking, system architecture, and AI-first design for high-impact social problems. Pitched at ENTREPRENIA 2025.
💡 Shipped a functional cloud web application.
A robust cloud-hosted web application deployed on Vercel. Demonstrates modern web development workflows, cloud deployment, and creating functional, user-centric interfaces.
💡 A comprehensive guide for aspiring ML engineers.
Structured roadmap covering fundamentals, projects, tools, and career paths for data science and machine learning. Built to help others navigate the complex AI ecosystem.
💡 Analyzed 10,000+ customer records to identify who leaves a bank and why.
Full EDA on real banking dataset: churn segmentation, correlation heatmaps, feature importance ranking, and retention strategy recommendations. Deployed as an interactive web report.
💡 Full pipeline: raw data → trained model → live Streamlit app in production.
Complete ML pipeline from data cleaning through EDA, feature selection, multiple regression models, cross-validation, to a deployed Streamlit app serving real-time predictions. Best model selected by RMSE + R².
💡 Compared 4 regression algorithms with 5-fold CV to find optimal used-car pricing model.
Feature engineering on structured auto data (mileage decay, age curves, brand encoding). GridSearchCV hyperparameter tuning. Documented model selection rationale with residual plots.
💡 Benchmarked KNN, SVM, Decision Tree & Logistic Regression on the same dataset.
Comparative ML study with decision boundary visualizations, accuracy/precision/recall per model, and systematic model selection reasoning documented with Matplotlib charts.
💡 Turned raw government data into clear visual narratives for decision-making.
Temporal trend analysis, regional unemployment comparisons, and policy-relevant insights derived from real open datasets. Demonstrates data storytelling and business-framed reporting skills.
💡 Automated scraping + dataset packaging to grow Kaggle visibility.
Python automation pipeline that orchestrates data scraping, cleaning, packaging, and uploading to Kaggle. Demonstrates scripting, API integration, and workflow automation skills.
A creative web tool converting digital text into handwritten-style output using Canvas API, custom fonts, and image generation techniques.
A production-ready web application for generating cryptographically secure passwords with customizable length and character types.
Events, deployments, and hands-on experiences that have shaped my skills.
What I'm actively studying, building, and working toward right now.
Role-specific resumes tailored for each career path. For a general application, use the Download Resume button above. Open any card → Ctrl+P → Save as PDF.
End-to-end ML pipelines, Scikit-learn, cross-validation, GridSearchCV, and production deployment.
EDA, statistical analysis, data visualization, insight storytelling, and predictive modeling on real-world datasets.
AI-first product thinking, vibe coding with GitHub Copilot, Nyaya Mitra, and end-to-end AI app deployment.
SQL querying, business-framed EDA, KPI tracking, trend analysis, and data storytelling for decision-making.
Academic foundation driving my technical journey.
What keeps me inspired outside of tech.
Open to internships, AI/ML collaborations, open-source contributions, and startup opportunities.
Whether you have an internship role, a project idea, a collaboration opportunity, or just want to talk data science and AI — my inbox is always open.