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kindo-tk/README.md
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Data Scientist | Financial Analytics | Machine Learning

About Me

I am a Data Scientist with a Master's in Data Science from VIT Vellore and a strong foundation in Mathematics. Currently, I work as a Data Science Intern at Solytics Partners, where I develop data-driven solutions for financial analytics, customer segmentation, anomaly detection, and large-scale data processing.

I enjoy solving real-world business problems through machine learning, feature engineering, and scalable analytics. My primary toolkit includes Python, SQL, PySpark, and modern data science libraries for building practical, production-oriented solutions.

Current Focus

  • Financial Analytics & Risk Intelligence
  • Machine Learning & Anomaly Detection
  • PySpark & Large-Scale Data Processing
  • Customer Segmentation & Feature Engineering
  • Generative AI & LLM Applications

Skills & Tools

Programming Languages

Data Science & Machine Learning

Deep Learning

Backend & APIs

Databases

Tools

Areas of Interest

  • Financial Analytics
  • Risk Analytics
  • Machine Learning
  • Customer Segmentation
  • Anomaly Detection
  • Generative AI

Thanks for visiting my profile! Feel free to explore my repositories or connect with me on LinkedIn.

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  1. VIT_winter_sem VIT_winter_sem Public

    This repository contains all lab work and digital assessments from the Winter Semester of my M.Sc. Data Science program at VIT Vellore. Projects span across machine learning, data mining, statistic…

    Jupyter Notebook 3

  2. ipl_data_analysis_project ipl_data_analysis_project Public

    An interactive Streamlit dashboard for visualizing and analyzing IPL data (2008–2024) with dynamic filters, team stats, and player insights.

    Jupyter Notebook

  3. house_price_prediction house_price_prediction Public

    This project implements a house price prediction system using Linear Regression. It is built as an end-to-end machine-learning project using Flask.

    Jupyter Notebook 1

  4. CODSOFT CODSOFT Public

    This repository contains the tasks for data science internship at codsoft

    Jupyter Notebook 3

  5. EuroSAT-LandCover-Ensemble-CNN EuroSAT-LandCover-Ensemble-CNN Public

    A lightweight ensemble deep learning model achieving 98% accuracy on EuroSAT land-cover classification using 4-channel Sentinel-2 data.

    Jupyter Notebook 1 1

  6. PySpark PySpark Public

    Jupyter Notebook