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sivaadharsh28/README.md

👋 Hi, I’m Siva Adharsh

Welcome to my GitHub profile! Here's a bit about me:

  • 👀 I’m interested in: The intersection of Data Science and Financial Markets. I enjoy working on projects that combine creativity and technical problem-solving. I am always on the lookout for Data Science roles in Financial Institutions where I can bring my experience in the alternative investments market and my competencies in machine learning and data analytics tools.
  • 🌱 I’m currently learning: JavaScript for front-end design as well as Novel Machine Learning methods to extract value from Financial Data Sets
  • 📫 How to reach me: Drop me an email at [email protected] or connect with me at www.linkedin.com/in/sivaadharsh
  • ⚡ Fun fact: I am a professional inline skating coach. I also play the keyboard in my free time, learning newly released chill pop or jazz songs.

Feel free to explore my repositories and reach out if you'd like to work together or just say hi!

💻 Tech Stack

📊 Data Visualisation

Metabase Power BI Tableau Firebase

🗄️ Database

MySQL SQL Redshift AWS S3 Apache Airflow Google Cloud Platform

🌐 Web

HTML CSS

🖥️ Programming

Java Python R

⚙️ Scripting

JavaScript TypeScript

🎨 UI/UX Design

Figma

📌 Pinned Projects

✈️ Ripple Shield - XRPL Backed Travel Insurance

  • Developed an XRPL-backed Travel Insurance application, leveraging the EVM side chain for smart contract functionalities.
  • Low-cost multi-currency premium payments and claim payouts leveraging the native multi-currency conversion feature of XRP
  • Quick and easy claims process with the parametric insurance feature where trackable incidents like flight delays or cancellations will trigger an immediate payout to the user through a smart contract written on the EVM side chain.
  • Tech: Node.js, Express.js, MongoAtlas, Remix

🚑 Grab Ambulance Project

  • Developed systems using APIs to identify medical emergencies, locate nearby hospitals, and alert drivers about approaching ambulances, with potential integration of Grab's mapping feature for improved accuracy.
  • Tech: Python

🏥 Clinic Finder

  • Designed a telegram bot to help clients of an insurance company locate their nearest approved clinics efficiently
  • Tech: Python, Flask, Render, Google Maps API

🔍 Diabetes Prediction Analysis

  • Built and evaluated multiple classification models to predict diabetes outcomes based on patient data.
  • Tech: R

🛍️ Product Recommendation System

  • Developed a recommendation engine to suggest products based on user preferences and web usage data.
  • Tech: Python (Pandas)

Pinned Loading

  1. seandias/hackjakarta seandias/hackjakarta Public

    Python

  2. Clinic-Compass Clinic-Compass Public

    Python

  3. Diabetes-Prediction-Analysis Diabetes-Prediction-Analysis Public

  4. Product-Recommendation-System Product-Recommendation-System Public

    Jupyter Notebook