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About MeTech Stack & SkillsGitHub TrophiesFeatured ProjectsGitHub StatsLet's Connect!


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🚀 About Me

  • 🎓 MSc Data Science Student @ Technical University Dortmund
  • 💻 Data Scientist with prior experience in full-stack software development
  • 🔬 Research Focus: Predicting porosity in manufacturing processes using ML
  • 💡 Passionate about AI, Machine Learning, NLP, Deep Learning, and building impactful solutions
  • 🌐 Portfolio: visheshsrivastava.com

📬 Subscribe to My Newsletter

Get weekly insights on Data Science, AI, and Machine Learning straight to your inbox.

👉 Join DSwithVishesh – AI & Data Weekly 🚀


🎉 Fun Fact

I’m happiest when turning messy, real-world data into clean, decision-ready apps and dashboards.



🛠 Tech Stack & Skills

Languages:
Python · SQL · C# · R · Java

ML/AI:
PyTorch · TensorFlow · scikit-learn · spaCy · Hugging Face · LangChain

Data & Apps:
pandas · NumPy · Matplotlib · Streamlit · FastAPI · Power BI (basics)

Cloud & DevOps:
AWS · Azure · Docker · GitHub Actions

Search & APIs:
Elasticsearch · REST APIs · OpenAI API

Focus Areas:
Predictive Modeling · NLP · Time Series · Generative AI · Data Engineering (ETL)



🏅 Achievements & Recognitions

  • IEEE PublicationAutoencoder Optimization for Anomaly Detection: A Comparative Study with Shallow Algorithms (2024).
  • Hessen Ideas Scholarship (2023) — Supported an AI-driven project automation initiative.


🖥️ Featured Projects

  • Smart CSV Toolkit (Streamlit App)Data cleaning & metadata intelligence
    Robust type inference, ML-readiness scoring, LLM/heuristic cleaning actions, interactive decision tree (PyVis), and audit logging (SQLite).
    Tech: Python, Streamlit, FastAPI, pandas, LangChain
    🔗 Repo: my_data_cleaning_app

  • AB Lab — End-to-End A/B Testing Toolkit
    Design experiments, simulate outcomes, and analyze results in a single workflow (package + Streamlit UI).
    Tech: Python, statsmodels, Streamlit
    🔗 Repo: ab-lab

  • Autoencoder Anomaly Detection (Paper + Code)
    Comparative study vs. shallow baselines; reproducible pipelines and evaluation utilities.
    Tech: PyTorch, scikit-learn, pandas
    🔗 Repo: autoencoder-anomaly-detection

  • SpeakMind — Conversational AI experiments
    Rapid prototyping for chat flows, prompt tooling, and retrieval.
    Tech: Python, LangChain, OpenAI API
    🔗 Repo: SpeakMind

  • DataAnalytics-Dashboard — BI & analytics collection
    Sales/customer/finance dashboards with Python + Power BI; clean foldered templates.
    Tech: Python, pandas, Power BI
    🔗 Repo: DataAnalytics-Dashboard

More on my pinned repos or by browsing my orgs and recent activity.



🏆 GitHub Trophies

GitHub Trophies



📊 GitHub Stats

GitHub Stats
GitHub Streak
GitHub Contribution Graph



🌱 Open Source Contributions

I contribute across my own repos and community projects. PRs/issues visible in the Contributions tab.



📝 Latest Blog Posts

Coming soon on visheshsrivastava.com and Medium.



🌐 Let's Connect!

Portfolio LinkedIn GitHub Email



Thanks for dropping by! If something here sparks an idea, let’s build it. 🚀



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  1. SustainabilityScoreEvaluator SustainabilityScoreEvaluator Public

    Introducing the Web Data Analysis Tool, an ASP.NET MVC application crafted in C# that simplifies web data extraction and analysis. Leveraging the Google API, it fetches data effortlessly and perfor…

    C# 2

  2. Autoencoder-Optimization-Anomaly-Detection Autoencoder-Optimization-Anomaly-Detection Public

    This repository contains code for optimizing autoencoders for anomaly detection, with a comparative study against traditional shallow algorithms (ADBENCH). It includes implementations of multiple m…

    Jupyter Notebook 1

  3. ab-lab ab-lab Public

    🧪 AB Lab is an end-to-end A/B testing toolkit built in Python with an interactive Streamlit interface. It enables researchers, data scientists, and product teams to design, simulate, and analyze ex…

    Python 1

  4. my_data_cleaning_app my_data_cleaning_app Public

    Smart CSV Toolkit — LLM-Assisted CSV Cleaning & Metadata Inference. A Streamlit app to clean, merge, and analyze CSVs with guided steps, metadata inference, interactive decision trees, and optional…

    Python 1

  5. Quantum-Enhanced-ML-Applications Quantum-Enhanced-ML-Applications Public

    An interactive repository for exploring quantum-enhanced machine learning with Qiskit. It features a hybrid quantum–classical classifier trained on the Iris dataset, a modern Streamlit web app for …

    Python 3

  6. n8n_fast_api n8n_fast_api Public

    Containerized stack for CSV merging, column type inference, data cleaning (LLM + manual), and visualization. Built with FastAPI, Streamlit, n8n, and NGINX, ready to run locally or via Docker Compose.

    Python 1