Skip to content
View Ankitgithubcoding's full-sized avatar

Block or report Ankitgithubcoding

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this userโ€™s behavior. Learn more about reporting abuse.

Report abuse
Ankitgithubcoding/README.md

๐Ÿ‘‹ Hi, I'm Ankit Kumar! ๐ŸŽ“ MCA Graduate | ๐Ÿ’ป Aspiring Data Analyst โœจ Passionate about transforming data into actionable insights and building scalable, data-driven solutions.

๐Ÿš€ About Me: ๐Ÿง  I specialize in data analysis, data visualization, and machine learning. ๐Ÿ“Š I love working with tools like Python, Pandas, NumPy, Tableau, and Power BI. ๐ŸŒฑ Currently exploring advanced analytics and big data technologies. ๐Ÿ“š Always excited to learn about new trends in data science and analytics. ๐Ÿ› ๏ธ Tech Stack: Programming Languages: Python, SQL Data Visualization Tools: Tableau, Power BI, Matplotlib, Seaborn Databases: MySQL Other Tools: Excel, Jupyter Notebook, VS Code

Developed a Python-based text mining tool to analyze public sentiment. Applied NLP techniques and visualized results using Matplotlib. ๐Ÿ’ก Interests: ๐Ÿ“ˆ Business Intelligence ๐ŸŒ Data Storytelling ๐Ÿค– Artificial Intelligence and Machine Learning

Pinned Loading

  1. HR-Analytics HR-Analytics Public

    The HR Analytics Project focuses on processing HR data to generate actionable insights. The project covers data cleaning, SQL database integration, and dynamic visualization using Power BI. The dasโ€ฆ

    Jupyter Notebook 1 2

  2. Black-Money-Transaction-Analysis- Black-Money-Transaction-Analysis- Public

    Developed an analytical tool to detect suspicious financial transactions indicative of black money using Streamlit and Jupyter Notebook. Performed data cleaning, processing, and exploratory analysiโ€ฆ

    Jupyter Notebook