Siva Kumar Koppala

• Passionate Data Scientist and Software Developer with a strong foundation in data science, software engineering, and cloud computing. Recent MSc graduate in Financial Technology with Data Science from the University of Bristol, UK, with hands-on experience in data analytics, machine learning, and backend development.
• Developed and implemented predictive models and machine learning algorithms using diverse datasets to improve decision-making and business performance.
• Utilized advanced data analysis and visualization tools such as Tableau, Power BI, and Matplotlib to generate actionable insights, helping businesses optimize customer engagement and operations.
• Designed and refined data models and tools, ensuring continuous improvement in analytical capabilities and system performance.
• Worked extensively with large-scale, high-dimensional data from multiple sources, cleaning, analyzing, and transforming it to drive efficiency in business processes.
• Applied data-driven techniques to enhance operational efficiency, leveraging analytics for predictive policing and process optimization.
• Provided strategic insights to stakeholders, driving improvements in revenue generation, cost reduction, cash flow optimization, and overall business performance.

• Shiksha Learn & Intern 2.0 - Networking Ninja & Web Application Development, Rajampet, Recognized among the Top Teams in a national-level internship program. Successfully completed tasks related to online networking and web application development using Node.js.
• IBM Watson Hackathon, Cuddapah, Competed in a hackathon creating chatbots using IBM Watson, honing AI and machine learning application skills.
• Microsoft Certified Azure Fundamentals certification (Certification ID: 994064205)

1) Distributed Dutch Auction DApp, University of Bristol, UK, (06/01/24 - 09/30/24)

          Developed a decentralized application (DApp) on the Ethereum blockchain that

          facilitates Dutch auctions for NFTs. The auction starts at a high price, which

          gradually decreases until a buyer makes a purchase.

            Technologies Used: Solidity, Ethereum, Web3.js, React, MetaMask, Hardhat, Vercel.

• Implemented smart contracts for creating and managing auctions using Solidity.
• Integrated with MetaMask for secure wallet connections and transaction signing.
• Deployed the smart contracts on the Sepolia testnet and hosted the frontend on Vercel.
• Conducted extensive testing on a local Ethereum network to ensure functionality and security.

Successfully deployed a fully functional DApp that enables users to mint NFTs, create auctions, and place bids in a decentralized, transparent manner.

2) A Hybrid Machine Learning Framework to Forecast Peak Load Days for Cost Optimization, University of Bristol, UK, (09/01/24 - 12/31/24)

• Developed a hybrid machine learning model to forecast Peak Electric Load Days (PELDs), optimizing energy cost management and grid stability.
• Technologies Used: Python, TensorFlow, Scikit-learn, ARIMA, LSTMs, Logistic Regression, Power BI, AWS.
• Implemented SARIMA and LSTM models to capture both seasonal patterns and non-linear demand fluctuations.
• Developed a binary classification model using Logistic Regression and ANN to classify peak and non-peak days.
• Integrated real-time weather data into the forecasting model, improving prediction accuracy by 10%.
• Deployed Power BI dashboards to visualize demand forecasts and peak day alerts for energy companies.
• Conducted extensive testing using historical electricity demand data, achieving 93.7% prediction accuracy.

3) Core Banking Application for Lloyds Banking Group, (Wipro Technologies) (20/12/21 - 05/06/22)

Developed and optimized banking applications for Lloyds Banking Group, focusing on secure transaction processing and backend integrations using Java, Python, and SQL. Worked on enhancing system performance and ensuring regulatory compliance.

• English, Professional Working Proficiency
• Hindi, Professional Working Proficiency
• Telugu, Native or Bilingual Proficiency