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ak-codes-py/README.md

Aaditya Khanal

πŸ“§ Email: [email protected]
πŸ”— LinkedIn: linkedin.com/in/-khanalaaditya
πŸ’» GitHub: github.com/ak-codes-py

πŸ“Œ About Me

I am a passionate Software Engineer and Data Scientist with expertise in AI, full-stack development, and cloud computing. I specialize in building intelligent systems that drive data-driven decisions, enhance user experiences, and optimize business operations. My work spans across machine learning, deep learning, web development, and automation, with a strong focus on AI-powered applications.

πŸŽ“ Education

Northern Kentucky University – Highland Heights, KY
Bachelor of Science, Data Science (Minor: Applied Statistics)
πŸ“… August2022 - May 2026 | GPA: 3.80 | Executive and Edge Award

πŸ’Ό Experience

Beats by Dre (Remote)

Consumer Insights Data Analyst (Sept 2024 – Oct 2023)

  • Processed and analyzed 10,000+ product reviews using Python (pandas, NumPy, scikit-learn, Seaborn, NLTK).
  • Implemented sentiment analysis and leveraged Gemini AI to extract actionable insights for strategic decision-making.

Headstarter AI (Remote)

Software Engineering Fellow (July 2024 – Aug 2024)

  • Built 5+ AI-driven applications, including an AI-powered customer support chatbot, AI Flashcard Generator, and Stripe-integrated billing system.
  • Developed React.js & Next.js applications, integrating OpenAI’s API, Stripe API, and Retrieval-Augmented Generation (RAG) using AWS, scaling to 1000+ users.

Human-Computer Interaction Lab (NKU)

Student Researcher (Dec 2023 – July 2024)

  • Conducted behavioral data analysis on auction datasets using Python, R, SQL, and JavaScript.
  • Published findings at IEEE ICT MiPro 47th Electronics Convention (Croatia) and presented at various research conferences.

πŸ›  Skills

Programming Languages

  • Python, R, Java, JavaScript, SQL, Swift

Databases

  • SQL Server, PostgreSQL, MySQL, Firebase

Tools & Technologies

  • Data Science & ML: pandas, NumPy, scikit-learn, TensorFlow, PyTorch, NLTK
  • Web Development: React.js, Next.js, Tailwind CSS, Bootstrap
  • Cloud & APIs: Azure, AWS, OpenAI API, REST APIs
  • Development Tools: Git, Hugging Face, Postman, Copilot

πŸš€ Projects

Personalized Recommender (Flask, Next.js, PyTorch, AWS) – Jan 2025

  • Engineered an AI-driven personal finance advisor that improved savings by 15% and enhanced budgeting efficiency by 20%.

Modern SAP (Python, Next.js, MongoDB, Azure) – May 2024

  • Developed an AI-powered SAP system with invoice scanning, an insights dashboard, and fraud detection, utilizing Azure cloud security.

Khutruke AI (Python, TensorFlow, React, Flask, Azure) – April 2024

  • Built a MERN stack chatbot-like financial planning assistant using GPT-4 and OpenAI’s API for personalized suggestions.

πŸŽ– Leadership & Involvement

Vice President – College of Informatics Ambassadors (NKU) (May 2024 – Present)

  • Organized 20+ on-campus events and led initiatives to bridge academia and industry through seminars and workshops.

Vice President – Data Science Club (NKU) (May 2024 – Present)

  • Co-founded the NKU Data Science Club, organized a 100+ participant hackathon, and secured guest speakers from AT&T.
  • Represented NKU at the University of Cincinnati Data Science Symposium, showcasing student projects and mentoring peers.

πŸ“œ Certifications & Awards

  • Oracle Cloud Infrastructure 2024 Generative AI Certified Professional (July 2024)
  • Microsoft Azure AI Fundamentals Certification (June 2024)
  • Fidelity Hackathon – 1st Place (April 2024)

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