Available for Opportunities

Ayush Yash
Dwivedi

ML Engineer & Full Stack Developer

Building end-to-end AI pipelines and production-grade web applications. Passionate about deep learning, NLP, and creating measurable impact through code.

View Projects → Get In Touch 📩 Email Me

Stats

CGPA 8.7 / 10

LeetCode Solved 200+

ML Models Trained 10+

Records Processed 5K+

Certifications 5+

🚀 Open to Work

Expertise

Technical Skills

A versatile toolkit spanning ML research and production web engineering.

Machine Learning & Deep Learning

Supervised / Unsupervised Learning92%

Deep Learning (ANN, CNN, RNN, LSTM)85%

NLP & Transformers80%

Feature Engineering & Model Eval90%

Web Development & APIs

React.js / TypeScript88%

Node.js / Express.js / FastAPI84%

MongoDB / MySQL80%

REST API Design86%

Data Science & Visualization

Python (Pandas, NumPy)95%

Power BI / Tableau82%

Matplotlib / Seaborn / Plotly88%

ETL Pipeline Design78%

Frameworks & Tools

TensorFlow / Keras / PyTorch83%

Scikit-learn92%

Git / GitHub88%

Streamlit / Jupyter / Colab90%

PythonJavaScriptTypeScriptJava TensorFlowPyTorchKerasScikit-learn React.jsNode.jsFastAPIMongoDB Power BITableauStreamlitPlotly NLPLSTMTransformersREST API NumPyPandasMySQLJupyter

Work

Experience & Timeline

Real-world impact through data engineering, analytics, and automation.

Jun 2025 — Aug 2025

Machine Learning & Data Analytics Intern

Zidio Development Remote

Built end-to-end data analytics pipeline processing 5,000+ records using Python, Pandas, and NumPy — improving operational efficiency by 30%.
Designed interactive KPI dashboards in Power BI and Tableau, enabling data-driven decisions and reducing reporting time by 25%.
Automated multi-source ETL workflows using Python scripting, cutting manual data processing effort by 40%.

2023 — Present

B.Tech Student — AI & ML

NIET, Greater Noida On Campus

Maintaining a CGPA of 8.7/10 in Computer Science Engineering (Artificial Intelligence & Machine Learning).
Led ML-based health solution prototype selected for Smart India Hackathon (SIH) 2025 preliminary round.
Actively participating in hackathons, competitive programming, and independent deep learning research.

Work

Featured Projects

End-to-end products combining machine learning, web development, and data visualization.

🏠

PropVista

Real Estate Price Prediction & Recommendation platform. Trained 10+ ML models on 5,000+ property records. Includes an Analytics Dashboard with geo-maps and a content-based recommendation engine.

Python Random Forest Scikit-learn Streamlit Plotly

Live Demo →

🧠

Wellspring

Privacy-first student mental health platform with dual portals (Student & Counsellor), AI-powered NLP chatbot for 24/7 stigma-free support, counsellor booking, and Power BI mood dashboards.

React.js TypeScript NLP Node.js Power BI

Live Demo →

📊

Data Analysis Web App

Full-stack MERN application for CSV dataset upload, real-time statistical analysis, and dynamic data visualizations. RESTful API backend reduced server-side processing time by 35%.

React.js Node.js Express.js MongoDB FastAPI Chart.js

View Project →

Background