Building practical solutions at the intersection of Data, AI, Engineering & Automation.
Iām Om Anil Birari, an Artificial Intelligence and Data Science undergraduate focused on building practical solutions across Data Analytics, Data Engineering, Artificial Intelligence and Machine Learning.
My work focuses on turning raw data into useful information and building systems that can extract, clean, process, analyze and automate data-driven workflows.
| Area | Technologies / Skills |
|---|---|
| Data Analysis | Pandas, NumPy, Data Cleaning, Statistics, Visualization |
| Programming | Python, SQL, HTML, CSS, JavaScript |
| Data Engineering | ETL, Data Pipelines, REST APIs, Automation |
| Machine Learning | Scikit-learn, Predictive Modeling, Feature Engineering |
| AI / NLP | Machine Learning, NLP, Generative AI |
| Web & APIs | FastAPI, Web Scraping, REST APIs |
| Databases | MySQL, PostgreSQL, SQLite |
| Tools | Git, GitHub, VS Code, Jupyter, Google Colab |
| Strengths | Analytical Problem Solving, Technical Documentation, Collaboration |
An intelligent resume-processing system focused on extracting, cleaning and analyzing structured information from resumes.
Core Technologies
Python Ā· Web Scraping Ā· NLP Ā· Data Extraction Ā· Automation
Focus
A data-driven platform designed to combine data processing, analytics and AI-based insights into a practical engineering workflow.
Core Technologies
Python Ā· Data Engineering Ā· Machine Learning Ā· Analytics
Focus
Exploring practical applications across modern AI and machine learning workflows.
Areas
Machine Learning Ā· NLP Ā· Generative AI Ā· Automation Ā· Predictive Modeling
Building practical data workflows for collecting, transforming, processing and analyzing information.
Areas
ETL Ā· APIs Ā· Data Pipelines Ā· Web Scraping Ā· Automation
Continuous exploration of AI, data science and engineering concepts through practical implementations and experiments.
Areas
Python Ā· Data Science Ā· AI Ā· ML Ā· Analytics
Nashik, Maharashtra Ā· Jan 2026 ā Mar 2026
```text Data Analytics ā Data Engineering ā Machine Learning ā AI / NLP ā Generative AI ā Production AI Applications