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kanishkatks/README.md

Hi there! I am Kanishk πŸ‘‹

πŸš€ About Me

I'm a neuroscientist(PhD student) turned Data Scientist. I turn complex data into clear, actionable insights that drive real impact. With a keen eye for patterns and a strategic mindset, I transform raw information into meaningful solutions that help businesses make smarter decisions.

I recently completed a hands-on intensive Data Science and AI Bootcamp at Le Wagon Amsterdam, where I honed my skills in data analysis, machine learning, MLOps, and Data Engineering.

  • πŸ˜„ Pronouns: he/they
  • ⚑ Fun fact: Proud dog dad to Beau 🐢

πŸ”¬ My Technical Skills

  • Programming Languages: Python, SQL, MATLAB,
  • Machine Learning & AI: Scikit-learn, TensorFlow, Keras, PyTorch
  • Generative AI: Langchain, LLMs, LangGraph
  • Data Analysis & Visualization: Pandas, NumPy, Matplotlib, Seaborn, Plotly
  • Deep Learning: Neural Networks, LSTMs, CNNs, Transformers
  • Big Data & Cloud: Google Cloud Platform (GCP), AWS (Basics), PySpark
  • CI/CD: Apache Airflow, MLFlow, Prefect, Github
  • Software & Tools: Git, Docker, Streamlit, Flask, FastAPI, MySQL, OpenCV, SQLite
  • FrontEnd Development: React JS(Basics)

πŸ“š Recent Projects

πŸ”Ή Kanbot - RAG powered portfolio assistant

  • Kanbot is smart, conversational assistant built into my portfolio website that answers questions about my background, projects, and skills in natural language. It feels like chatting with me, even when I'm not available!.
  • Deployed a chatbot on my portfolio website (kanishkawaghmare.com).
  • Using llama-3 from Huggingface for text generation.
  • Using FAISS for vector search on the backend hosted on GCP

πŸ”Ή Smart EDATool - Multi-Agent LLM-Powered Exploratory Data Analysis

  • A powerful multi-agent tool that automates exploratory data analysis for rapid insights from raw datasets.
  • User Upload: Users upload their dataset files through a React-based frontend.-link
  • Backend Processing: FastAPI handles data ingestion and routing to the multi-agent system for analysis, hosted on AWS EC2 instance.
  • Agent Collaboration: Dedicated agents work in tandem to validate, analyze, and visualize data.
  • Report Generation: Produces detailed reports.

πŸ”Ή Credit Card Fraud Detection & Stock Market Anomaly Detection (Final Project @ Le Wagon)

  • Developed an Anomaly detection system for credit card transactions and stock prices.
  • Deployed a web application to display model predictions and insights.
  • Using machine learning & deep learning techniques for fraud detection and financial forecasting.

πŸ“š Upcoming Projects

πŸ”Ή AI-agent based personal assistant. (Hopefully using MCP)

  • AI- Agent that can read emails, chat, and organise tasks to help facilitate easy workflow.
  • Keep an eye out!

πŸ“« Connect with Me

🎯 Current Goals

  • Expanding my expertise in Data Engineering and GenAI.
  • Seeking opportunities to collaborate on open-source projects.

πŸ› οΈ Languages and Tools

Bash Docker GCP Git MySQL OpenCV Pandas Python PyTorch Scikit-Learn Seaborn Selenium SQLite TensorFlow MATLAB

πŸ“Œ Let's connect and innovate together! πŸš€

Pinned Loading

  1. MohsseniMahdi/anomguard MohsseniMahdi/anomguard Public

    Data Science Final Project -- Credit Card Fraud Detection Stock market anomalies detection

    Jupyter Notebook 1

  2. WebScraping_RottenTomatoes WebScraping_RottenTomatoes Public

    Webscraping using scrapy for Rotten Tomatoes veviews. In this case only movies Barbie and oppenheimer

    Python

  3. Smart-EDAtool Smart-EDAtool Public

    EDA Bot using LLM Multiagent

    Python

  4. kanbot kanbot Public

    Chatbot for Portfolio

    Python

  5. movie-recommendation-system movie-recommendation-system Public

    Movie recommendation system Unsupervised ML Algorithm

    Jupyter Notebook

  6. spotify-daily-generator spotify-daily-generator Public

    Spotify Daily Mix Generator

    Jupyter Notebook