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Available for DS & ML Internships — Open to Opportunities

Shivansh
Mishra

I'm a

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.

Shivansh Mishra
SCROLL
// about me

Architecting AI solutions. Bridging data science and product engineering.

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.

🎯What I bring as a fresher: Practical ML/DS skills proven by 10+ live deployed apps, 8.0+ CGPA, active Kaggle contributor, strong logical thinking & problem-solving, and the ability to ship production-grade data products fast.
🤖Skills I apply in practice: EDA · ML pipelines · Feature Engineering · Pandas · NumPy · Scikit-learn · SQL · DSA · Streamlit · Python · Git
How I build: I own every decision — data cleaning, model selection, evaluation metrics, deployment. I use AI-assisted development for speed, but the thinking, debugging, and understanding is entirely mine.
📈Target roles: Data Science Intern · ML Engineering Intern · Data Analyst Intern — open to remote or Lucknow-based.
Lucknow, UP · Remote OK CGPA 8.0+ +91 9651165190 shivanshmishraji90@gmail.com Kaggle Profile
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Live Projects
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CGPA (out of 10)
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Technologies
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Events / Pitches
Shivansh's GitHub Stats Core ML Languages Vibe-Coded Web & Mobile Stack
// expertise

Skills & Technologies

A curated view of my technical toolkit — core languages to production tooling.

Python85%
SQL75%
C Programming65%

Other languages (JS, React, FastAPI etc.) are used via AI-assisted vibe coding — see Web, Mobile & Backend tab.

Pandas & NumPy82%
Scikit-learn75%
Matplotlib & Seaborn72%
Jupyter Notebook80%
ML Pipelines & EDA70%
React (via AI) Mobile App Dev (via AI) FastAPI (via AI) Flask (via AI) HTML5 / CSS3 JavaScript Streamlit Vercel Render
Git & GitHub Docker GitHub Copilot VS Code Postman Google Colab MySQL & SQLite
🎯 Logical Thinking 🧩 Problem Solving 🤝 Team Collaboration ⚡ Fast Learner 🎤 Public Speaking 🧠 Systems Thinking 🚀 Builder Mindset 🎨 Creative Prototyping
// work

Projects & Builds

From ML models to live deployed products — everything I've shipped.

AI PRODUCT
⚖️

Nyaya Mitra — AI Legal Super-App

💡 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.

AI ProductSystem DesignLegal TechVibe Coding
LIVE
☁️

Contact Forge — Cloud Web App

💡 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.

Web AppCloudVercel
LIVE
🗺️

ML Career Roadmap — Learning Guide

💡 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.

DocumentationLearning GuideMLCareer
LIVE
💳

BankChurners — Customer Churn Analysis

💡 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.

PythonPandasSeabornEDA10K+ Records
LIVE
🏠

House Price Prediction — End-to-End ML

💡 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.

PythonScikit-LearnPandasStreamlitVercel
LIVE
🚗

Car Price Prediction — GridSearchCV

💡 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.

PythonScikit-LearnGridSearchCVRegression
LIVE
🌸

Iris Classification — Multi-Model Benchmark

💡 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.

PythonScikit-LearnMatplotlibClassification
LIVE
📈

Unemployment Trends — Data Storytelling

💡 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.

PythonPandasNumPyMatplotlibEDA
IN PROGRESS
🔥

Kaggle-Boost — Profile Automation

💡 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.

PythonAutomationKaggle APIScripting
LIVE
✍️

Text-to-Handwriting Converter

A creative web tool converting digital text into handwritten-style output using Canvas API, custom fonts, and image generation techniques.

JavaScriptCanvas APIHTML/CSSWeb Tool
LIVE
🔑

Secure Password Generator

A production-ready web application for generating cryptographically secure passwords with customizable length and character types.

PythonFlaskSecurityVercel
LIVE
⌨️

TypeMaster Pro

A fully featured, highly polished typing speed test web application built entirely with HTML, CSS, and Vanilla JavaScript, featuring multiple themes and analytics.

JavaScriptHTML/CSSWeb AppCanvas
// journey

Experience & Activities

Events, deployments, and hands-on experiences that have shaped my skills.

2026 · Ongoing
AI-First Product Development
Self-directed · Vibe Coding Methodology
Rapidly prototyping and shipping full-stack AI applications using AI-assisted workflows. Building and deploying MVPs end-to-end — concept → architecture → build → Vercel/Render deployment. Projects include Nyaya Mitra and Contact Forge.
2025 · BBD University
ML Pipeline Development
Academic Projects · Python / Scikit-Learn
Built multiple end-to-end ML projects: EDA, feature engineering, model training, cross-validation, and deployment using Streamlit. Delivered house price prediction, car price prediction, churn analysis, and unemployment data analysis.
2025 · Lucknow
Startup Pitch — ENTREPRENIA
Legal-Tech Concept · Public Speaking
Pitched a legal-tech startup concept (Nyaya Mitra) at ENTREPRENIA. Developed and presented the product vision, market opportunity, and MVP strategy including the Raksha Mode panic button system to a panel of judges.
2025 · Lucknow
Coderush 2.0 Hackathon
Dr. Akhilesh Das Gupta Auditorium
Participated in Coderush 2.0 — a competitive coding and problem-solving hackathon. Practiced algorithmic thinking, rapid implementation, and cross-functional teamwork under time constraints.
2024 · DevOps
Docker Containerization & Render Deployment
MVP Application · Backend Deployment
Containerized a Python backend MVP using Docker and deployed it to Render. Gained hands-on experience with containerization, environment configuration, CI/CD basics, and cloud deployment workflows.
// now

Current Focus

What I'm actively studying, building, and working toward right now.

🧪
ML Fundamentals
Strengthening core machine learning through project-based learning — preprocessing, EDA, feature thinking, and model evaluation.
📊
MLOps & Deployment
Exploring deployment patterns and practical MLOps workflows — from Jupyter notebooks to reproducible, production-ready pipelines.
🚀
AI-First Products
Building SaaS-style applications and AI-first digital products with real user value — shipping usable tools, not just experiments.
🌐
Open Source & Collaboration
Contributing to open source, expanding the GitHub portfolio, and connecting with the ML/AI community for internships and collabs.
// download

Resume & CV

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.

🤖
ML ENGINEER

Machine Learning Engineer

End-to-end ML pipelines, Scikit-learn, cross-validation, GridSearchCV, and production deployment.

Scikit-learn Pipelines Deployment Python
View & Download PDF
📊
DATA SCIENTIST

Data Scientist

EDA, statistical analysis, data visualization, insight storytelling, and predictive modeling on real-world datasets.

EDA Statistics Visualization Seaborn
View & Download PDF
🧠
AI ENGINEER

AI Engineer

AI-first product thinking, vibe coding with GitHub Copilot, Nyaya Mitra, and end-to-end AI app deployment.

AI Products Vibe Coding Deployment System Design
View & Download PDF
📈
DATA ANALYST

Data Analyst

SQL querying, business-framed EDA, KPI tracking, trend analysis, and data storytelling for decision-making.

SQL KPI Analysis Trends Reporting
View & Download PDF
Click any card → resume opens in a new tab. Press Ctrl+P → select Save as PDF. Each resume is print-optimized for A4, single page.
// background

Education

Academic foundation driving my technical journey.

🎓
B.Tech — Computer Science & Engineering
Babu Banarasi Das University, Lucknow
2024 — Present
Specialization: Cloud Computing & Machine Learning. Focused on data science, AI systems, ML algorithms, and full-stack software engineering.
📚
Higher Secondary Education (Class XII)
Red Rose Public School, Lucknow
2022 — 2024
Strong foundation in Mathematics, Physics, and Computer Science. Developed early interest in programming, logical reasoning, and problem-solving that sparked the journey into software and data.
// beyond code

Interests & Hobbies

What keeps me inspired outside of tech.

🚴
Cycling
✈️
Traveling
🌿
Gardening
🏏
Cricket
🎌
Anime
🧘
Yoga
🎵
Music
🤖
AI & Robotics
// let's connect

Get In Touch

Open to internships, AI/ML collaborations, open-source contributions, and startup opportunities.

Let's build something meaningful together.

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.