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ashishtiwari03/README.md

💫 About Me:

I am a Master’s student in International Economics and Management at Paderborn University, focusing on Data Science. I currently work as a Developer at Facts Digital AG, where I build AI and analytics solutions to create business value.


💻 What I Do

Data Science: Build deep learning models and autoencoders using PyTorch.

Business Analytics: Create interactive Power BI and Streamlit dashboards.

Data Engineering: Design database schemas and automate pipelines with Python.

🌟 Interests

AI Transformation: Translating technical AI solutions into measurable business impact.


Economic Modeling: Forecasting trends using statistical tools like R and Stata.

🤝 Open for Collaboration
I am open to working on Open Source Data Science projects or Streamlit applications.

💬 Ask Me About

Time Series: My research on forecasting trend-stationary economic data.


Automation: How I reduced manual work effort by 40% using APIs.

⚡ Fun Fact
I once built a recommendation system that analyzed over 1 million movie ratings.

🌐 Socials:

LinkedIn email

💻 Tech Stack:

Python R JavaScript AWS Anaconda FastAPI Postgres MySQL SQLite MicrosoftSQLServer NumPy Pandas PyTorch Matplotlib GitHub Git Docker Power Bi

📊 GitHub Stats:



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  1. -Predicting-Vehicle-to-Grid-V2G-Revenue-Potential-in-Germany -Predicting-Vehicle-to-Grid-V2G-Revenue-Potential-in-Germany Public

    R 1

  2. animint2-tests animint2-tests Public

    Practice contributions and visualization ports using animint2.

    R

  3. financial-rag-analyst financial-rag-analyst Public

    Python

  4. ggplot2 ggplot2 Public

    Forked from tidyverse/ggplot2

    An implementation of the Grammar of Graphics in R

    R

  5. VaR-ES-Backtesting-GARCH.R VaR-ES-Backtesting-GARCH.R Public

    R

  6. ccc-garch-project ccc-garch-project Public

    CCC-GARCH analysis with VaR

    R