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[ | ||
"arc", | ||
"css3", | ||
"docker", | ||
"fastapi", | ||
"files", | ||
"flask", | ||
"flipkart", | ||
"github", | ||
"githubactions", | ||
"gnubash", | ||
"html5", | ||
"instagram", | ||
"jinja", | ||
"jupyter", | ||
"kaggle", | ||
"linkedin", | ||
"materialformkdocs", | ||
"medium", | ||
"mlflow", | ||
"mongodb", | ||
"mysql", | ||
"numpy", | ||
"obsidian", | ||
"pandas", | ||
"plotly", | ||
"polars", | ||
"precommit", | ||
"pydantic", | ||
"pypi", | ||
"pytest", | ||
"python", | ||
"ruff", | ||
"rye", | ||
"scikitlearn", | ||
"sqlite", | ||
"streamlit", | ||
"visualstudiocode", | ||
"youtube" | ||
] |
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|
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hide: | ||
- navigation | ||
- feedback | ||
- toc | ||
search: | ||
exclude: true | ||
--- | ||
|
||
# I'm Anshul Raj Verma | ||
|
||
- I am currently **a student in the 12th grade**, based in Bihar, India. | ||
- My career goal is to **become a efficient data scientist** who integrate his ML models in cloud efficiently. | ||
- I have been **actively learning various aspects of data science**, including Machine Learning (ML), Natural Language Processing (NLP), and Machine Learning Operations (MLOps). | ||
- I have a strong command of Python, with proficiency in essential programming **concepts like Object-Oriented Programming (OOP), Async Programming, and Type Hinting in Python**. | ||
- I am also well-versed in web development, having experience with **web frameworks such as _Flask\*_ and FastAPI**. Checkout one of my work [here](https://github.com/arv-anshul/yt-watch-history). | ||
- I possess **advanced web scraping skills**, allowing me to extract data from dynamically loaded websites. Checkout one of my work [here](https://github.com/arv-anshul/ecommerce-scrapper-api). | ||
- As I am continuously learning technologies, **I have done multiple ML projects**. Checkout one of my work [here](https://github.com/arv-anshul/yt-watch-history). | ||
|
||
<h3 align="center" style="font-weight: bold;">🤝 Connect with Me 🤝</h3> | ||
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||
<p align="center"> | ||
<a href="https://www.github.com/arv-anshul"><img width="35px" src="https://cdn2.iconfinder.com/data/icons/social-icons-33/128/Github-512.png"></a> | ||
<a href="https://www.linkedin.com/in/arv-anshul"><img width="35px" src="https://cdn.jsdelivr.net/gh/devicons/devicon/icons/linkedin/linkedin-original.svg"></a> | ||
<a href="https://www.kaggle.com/arvanshul"><img width="35px" src="https://cdn.jsdelivr.net/gh/devicons/devicon/icons/kaggle/kaggle-original.svg"></a> | ||
<a href="https://www.instagram.com/arv_anshul"><img width="35px" src="https://cdn4.iconfinder.com/data/icons/logos-brands-7/512/instagram_icon-instagram_buttoninstegram-512.png"></a> | ||
<a href="mailto:[email protected]"><img width="35px" src="https://cdn.jsdelivr.net/gh/devicons/devicon/icons/google/google-original.svg"></a> | ||
<style> | ||
.md-content__inner { margin: 0 10rem 1.2rem; } | ||
article > h1 { display: none; } | ||
#my-projects-index { display: none; } | ||
.md-typeset .grid.cards>ul>li { | ||
border-radius: 0.8rem; | ||
padding-bottom: 0.5rem; | ||
} | ||
.md-typeset .grid.cards>ul>li:hover { box-shadow: 0 0 0.2rem #ffffff40 } | ||
</style> | ||
|
||
<p style="text-align: center; margin: 0px;" markdown> | ||
<img src="https://avatars.githubusercontent.com/u/111767754?v=4" alt="arv-anshul" style="width: 300px; border-radius: 50%;" /> | ||
<p class="light" style="text-align: center; font-size: 25px; margin: 0px;"><strong>Anshul Raj Verma</strong></p> | ||
</p> | ||
|
||
<p align="center" markdown> | ||
As a student based in Bihar, India; my aspiration is to become a proficient data scientist who seamlessly integrates machine learning models in cloud. Actively exploring diverse facets of data science, including ML, NLP, and MLOps, I have honed my skills in Python, mastering essential concepts like OOPs, and Type Hinting. My proficiency extends to REST API creation, with hands-on experience in FastAPI framework. Notably, I showcase my expertise in web scraping, demonstrated through projects like [ecommerce-scrapper-api](https://github.com/arv-anshul/ecommerce-scrapper-api). Continuously expanding my technological horizons, I have successfully completed multiple ML projects, such as [yt-watch-history](https://github.com/arv-anshul/yt-watch-history), [campusx-real-estate](https://github.com/arv-anshul/campusx-real-estate). | ||
</p> | ||
|
||
--- | ||
|
||
<p align="center" markdown> | ||
{% for social in about.socials|sort(attribute="title") %} | ||
<a href="{{ social.url }}" title="{{ social.title }}" > :{{ social.icon }}:{ .lg .light } </a> | ||
{% endfor %} | ||
</p> | ||
|
||
### 📋 Data Science Projects | ||
|
||
| Project Name | Domain | Repository Link | Libraries | | ||
| -------------------------------------- | ----------- | ---------------------------------------------------------------------------------- | -------------------------------------- | | ||
| **Indian Real Estate Project** | Real Estate | [campusx-real-estate](https://github.com/arv-anshul/campusx-real-estate) | `sklearn • statsmodels • scipy` | | ||
| **E-commerce Scrapper API - FastAPI** | E-commerce | [ecommerce-scrapper-api](https://github.com/arv-anshul/ecommerce-scrapper-api) | `asyncio • fastapi • pydantic • httpx` | | ||
| **PW Course Assignment Solution** | NLP | [pw-impact-batch](http://github.com/arv-anshul/pw-impact-batch) | `nltk • streamlit` | | ||
| **Money Laundering Prevention System** | Banking | [ineuron-money-laundering](https://github.com/arv-anshul/ineuron-money-laundering) | `sklearn • streamlit` | | ||
|
||
### 🗃️ Data Related Projects / Works | ||
|
||
| Project Name | Domain | Repository Link | Libraries | | ||
| ------------------------------- | ------------- | ------------------------------------------------------------------------------------ | ----------------------------------------------- | | ||
| **Indian Real Estate Analysis** | Real Estate | [campusx-project-notebooks](https://github.com/arv-anshul/campusx-project-notebooks) | `pd-np-plt-sns • statsmodels • scipy • sklearn` | | ||
| **Web Scrape 99acres.com** | Web Scrapping | [99acres-scrape](https://github.com/arv-anshul/99acres-scrape) | `asycnio • aiohttp • streamlit • pydantic` | | ||
| **IPL API** | API | [ipl-api](https://github.com/arv-anshul/ipl-api) | `pd-plt • fastapi • flask` | | ||
| **Simple Attendance System** | Database | [attendance-system](https://github.com/arv-anshul/attendaadnce-system) | `MongoDB • streamlit` | | ||
| **India Census 2011 Analysis** | Analysis | [India-census-2011](https://github.com/arv-anshul/India-census-2011) | `pd-plt-sns • plotly • streamlit` | | ||
|
||
| Tech Stacks | Domain | 🤗 | Specialty | Library | | ||
| ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :------------ | :-: | ---------------------: | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | ||
| ![Python](https://img.shields.io/badge/Python-3776AB?logo=python&logoColor=fff) ![HTML5](https://img.shields.io/badge/HTML5-E34F26?logo=html5&logoColor=fff) ![CSS3](https://img.shields.io/badge/CSS3-1572B6?logo=css3&logoColor=fff) | **Language** | | **Web Framework** | ![Streamlit](https://img.shields.io/badge/Streamlit-FF4B4B?logo=streamlit&logoColor=fff) ![FastAPI](https://img.shields.io/badge/FastAPI-009688?logo=fastapi&logoColor=fff) ![Flask](https://img.shields.io/badge/Flask-000?logo=flask&logoColor=fff) | | ||
| ![MongoDB](https://img.shields.io/badge/MongoDB-47A248?logo=mongodb&logoColor=fff) ![MySQL](https://img.shields.io/badge/MySQL-4479A1?logo=mysql&logoColor=fff) ![SQLite](https://img.shields.io/badge/SQLite-003B57?logo=sqlite&logoColor=fff) | **Databases** | | **Data Analysis** | ![pandas](https://img.shields.io/badge/pandas-150458?logo=pandas&logoColor=fff) ![NumPy](https://img.shields.io/badge/NumPy-013243?logo=numpy&logoColor=fff) ![Polars](https://img.shields.io/badge/Polars-CD792C?logo=polars&logoColor=fff) | | ||
| ![Visual Studio Code](https://img.shields.io/badge/VS%20Code-007ACC?logo=visualstudiocode&logoColor=fff) ![Git](https://img.shields.io/badge/Git-F05032?logo=git&logoColor=fff) ![Obsidian](https://img.shields.io/badge/Obsidian-7C3AED?logo=obsidian&logoColor=fff) | **Tools** | | **Data Visualization** | ![Plotly](https://img.shields.io/badge/Plotly-3F4F75?logo=plotly&logoColor=fff) ![Matplotlib](https://img.shields.io/badge/Matplotlib-3776AB?logo=matplotlib&logoColor=fff) ![Seaborn](https://img.shields.io/badge/Seaborn-3776AB?logo=seaborn&logoColor=fff) | | ||
| ![Docker](https://img.shields.io/badge/Docker-2496ED?logo=docker&logoColor=fff) ![GitHub Actions](https://img.shields.io/badge/Actions-2088FF?logo=githubactions&logoColor=fff) | **MLOps** | | **Machine Learning** | ![scikit-learn](https://img.shields.io/badge/scikit--learn-F7931E?logo=scikitlearn&logoColor=fff) ![NLTK](https://img.shields.io/badge/NLTK-3776AB?logo=python&logoColor=fff) | | ||
| ![Windows Terminal](https://img.shields.io/badge/BASH-4D4D4D?logo=windowsterminal&logoColor=fff) ![PyPI](https://img.shields.io/badge/PyPI-3775A9?logo=pypi&logoColor=fff) ![pre-commit](https://img.shields.io/badge/pre--commit-FAB040?logo=precommit&logoColor=fff) | **Extras** | | **Python Libraries** | ![Pytest](https://img.shields.io/badge/Pytest-0A9EDC?logo=pytest&logoColor=fff) ![Pydantic](https://img.shields.io/badge/Pydantic-E92063?logo=pydantic&logoColor=fff) | | ||
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||
<p align="center" > | ||
<img src="https://github-readme-stats.vercel.app/api/top-langs?username=arv-anshul&show_icons=true&locale=en&layout=compact&theme=transparent&hide_border=true&hide=jupyter%20notebook" alt="arv-anshul" height=150> | ||
<img src="https://github-readme-streak-stats.herokuapp.com/?user=arv-anshul&theme=transparent&hide_border=true" alt="arv-anshul" height=150> | ||
<img src="https://github-readme-stats.vercel.app/api?username=arv-anshul&rank_icon=percentile&theme=transparent&hide_border=true&include_all_commits=true" alt="arv-anshul" height=150> | ||
--- | ||
|
||
<h2 class="light" align="center"><strong>Projects</strong></h2> | ||
|
||
{% for project in about.projects %} | ||
<div class="grid cards" markdown> | ||
- :{{ project.icon }}: **{{ project.title }}** | ||
|
||
{{ project.description }} | ||
|
||
--- | ||
|
||
<p align=center> | ||
{% for link in project.links %} [:{{ link.icon }}:{ .light .secondary-hover }]({{ link.url }} "{{ link.title }}"){ target=blank_ } {% endfor %} | ||
</p> | ||
</div> | ||
{% endfor %} | ||
|
||
<p align="center" markdown>[All Projects](/projects)</p> | ||
|
||
--- | ||
|
||
<h2 class="light" align="center"><strong>Tech Stacks</strong></h2> | ||
|
||
<div class="grid cards" markdown> | ||
{% for stack, techs in about.tech_stack.items()|sort(attribute=0) %} | ||
- **{{ stack }}** | ||
|
||
--- | ||
|
||
<p align="center" style="margin: 0;"> | ||
{% for tech in techs|sort(attribute='title') %}:{{ tech.icon }}:{ .lg .hover-icon-bounce .{{ tech.icon|replace("simple-", "") }} title="{{ tech.title }}" } {% endfor %} | ||
</p> | ||
{% endfor %} | ||
</div> | ||
|
||
--- | ||
|
||
<p align="center" markdown> | ||
[:fontawesome-solid-paper-plane:{ .bounce } Download Resume](#){ .md-button .md-button--primary } | ||
</p> |
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socials: | ||
- title: GitHub Profile | ||
icon: simple-github | ||
url: https://github.com/arv-anshul/ | ||
- title: Personal Website | ||
icon: fontawesome-solid-om | ||
url: https://arv-anshul.github.io/ | ||
- title: E-Mail | ||
icon: octicons-mail-16 | ||
url: mailto:[email protected] | ||
- title: Instagram Profile | ||
icon: simple-instagram | ||
url: https://instagram.com/arv_anshul | ||
- title: LinkedIn Profile | ||
icon: simple-linkedin | ||
url: https://www.linkedin.com/arv-anshul | ||
- title: Portfolio as PDF | ||
icon: material-account-box | ||
url: "#" | ||
|
||
projects: | ||
- title: YouTube Watch History | ||
icon: simple-youtube | ||
description: | | ||
Analyse your YouTube Watch History Data and get insights from it like which type | ||
of which type of content you likes to watch on which time of the day. I have build | ||
ML model which predicts the `contentType` of the videos from their titles. | ||
links: | ||
- title: Repository on GitHub | ||
icon: simple-github | ||
url: https://github.com/arv-anshul/yt-watch-history | ||
- title: Jupyter Notebooks | ||
icon: simple-jupyter | ||
url: https://github.com/arv-anshul/notebooks/tree/main/yt-watch-history | ||
- title: Project Documents | ||
icon: material-file-document | ||
url: https://arv-anshul.github.io/projects/yt-watch-history | ||
- title: Indian Real Estate Analyser and Price Prediction | ||
icon: fontawesome-solid-building | ||
description: | | ||
Analyse real estate of India. I have scrapped data from | ||
[99acres.com](https://99acres.com). You can also make prediction of property | ||
prices by providing you requirements like BHK, AREA, LOCATION and more. | ||
links: | ||
- title: Repository on GitHub | ||
icon: simple-github | ||
url: https://github.com/arv-anshul/campusx-real-estate | ||
- title: Post on LinkedIn | ||
icon: simple-linkedin | ||
url: https://www.linkedin.com/posts/arv-anshul_update-regarding-my-real-estate-project-activity-7109444738855948288-NyI9?utm_source=share&utm_medium=member_desktop | ||
- title: Web Scrape 99acres.com | ||
icon: simple-scrapy | ||
description: | | ||
Scrape [99acres.com](https://99acres.com){ target=blank_ } with a Streamlit Web-UI | ||
and download the data in **CSV** format. | ||
links: | ||
- title: Repository on GitHub | ||
icon: simple-github | ||
url: https://github.com/arv-anshul/99acres-scrape | ||
- title: Datasets on Kaggle | ||
icon: simple-kaggle | ||
url: https://www.kaggle.com/datasets/arvanshul/gurgaon-real-estate-99acres-com | ||
- title: Post on LinkedIn | ||
icon: simple-linkedin | ||
url: https://www.linkedin.com/posts/arv-anshul_python-asynchronousprogramming-datascience-activity-7101173151123861504-Y29E?utm_source=share&utm_medium=member_desktop | ||
- title: Streamlit App | ||
icon: simple-streamlit | ||
url: https://arv-anshul-99acres-2a.streamlit.app/ | ||
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||
tech_stack: | ||
Languages: | ||
- title: Python | ||
icon: simple-python | ||
- title: HTML | ||
icon: simple-html5 | ||
- title: CSS | ||
icon: simple-css3 | ||
- title: Jinja | ||
icon: simple-jinja | ||
- title: Bash | ||
icon: simple-gnubash | ||
Frameworks: | ||
- title: FastAPI | ||
icon: simple-fastapi | ||
- title: Streamlit | ||
icon: simple-streamlit | ||
- title: MongoDB | ||
icon: simple-mongodb | ||
- title: MySQL | ||
icon: simple-mysql | ||
- title: SQLite | ||
icon: simple-sqlite | ||
Dev Tools: | ||
- title: VS-Code | ||
icon: simple-visualstudiocode | ||
- title: Obsdian | ||
icon: simple-obsidian | ||
- title: Arc Browser | ||
icon: simple-arc | ||
- title: pre-commit | ||
icon: simple-precommit | ||
- title: Material for Mkdocs | ||
icon: simple-materialformkdocs | ||
MLOps: | ||
- title: Docker | ||
icon: simple-docker | ||
- title: GitHub Actions | ||
icon: simple-githubactions | ||
- title: MLFlow | ||
icon: simple-mlflow | ||
Data Science: | ||
- title: Scikit-Learn | ||
icon: simple-scikitlearn | ||
- title: Polars | ||
icon: simple-polars | ||
- title: Pandas | ||
icon: simple-pandas | ||
- title: Numpy | ||
icon: simple-numpy | ||
- title: Matplotlib | ||
icon: material-chart-scatter-plot | ||
- title: Seaborn | ||
icon: material-chart-scatter-plot-hexbin | ||
- title: Plotly | ||
icon: simple-plotly | ||
Python Libraries: | ||
- title: Pytest | ||
icon: simple-pytest | ||
- title: Pydantic | ||
icon: simple-pydantic | ||
- title: Ruff | ||
icon: simple-ruff | ||
- title: Rye | ||
icon: simple-rye | ||
- title: UV | ||
icon: simple-ruff |
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