Kevin Mammadli

Experience

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  Azerbaijan Airlines

  May 2021 - Aug 2021

  Data Science Intern

  • Led data analysis for the supply chain division, using Python pandas, openpyxl libraries and SQL, resulting in a 40% improvement in data accuracy• Boosted efficiency by 25% and increased operational efficiency by 10% by automating reporting and presenting metrics with Airflow, Tableau, and Power BI• Reduced response time by 34% as the primary contact between the supply chain department and key partners

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  Sandia National Laboratories

  Mar 2022 - Mar 2022

  Cybersecurity Challenge Team Leader

  • Led a skilled team of two in the Purdue TrackFire Cyber Security Capture The Flag (CTF) competition, achieving a top 20% ranking among participating teams through strategic planning and effective problem-solving• Mentored by Sandia National Laboratory professionals, gaining unique insights and guidance on complex cybersecurity challenges• Employed a variety of advanced cybersecurity tools, including Security Onion, Arkime (formerly Moloch), Velociraptor, Ghidra, etc., to successfully complete 150 diverse CTF challenges, increasing the challenge completion rate by 60% compared to other teams Show less

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  Phonichouse

  May 2022 - Oct 2022

  Software Engineer Intern

  • Developed a full-stack trading application for innovative musical investments, improving user engagement by 11% through enhanced features and user interface• Increased market penetration by 21% by delivering critical industry metrics and market data to senior leadership, facilitating strategic decisions• Streamlined front-end and back-end integration using React, FastAPI, and Django, improving data flow and system reliability

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  Krave Capital

  May 2023 - Aug 2023

  Software Engineer Intern

  • Improved trading performance by 8.4% by developing and refining algorithmic trading strategies with NumPy, pandas, and ARIMA• Enhanced system efficiency by 15.2% through optimizing data processing algorithms using multi-threading and parallel processing, leading to reduced latency• Outperformed 2020-2022 benchmark indices by 12% using TensorFlow, XGBoost, and Random Forest with backtesting frameworks, achieving a 9% increase in annual return rates