π§ Email: [email protected]
π LinkedIn: linkedin.com/in/-khanalaaditya
π» GitHub: github.com/ak-codes-py
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.
Northern Kentucky University β Highland Heights, KY
Bachelor of Science, Data Science (Minor: Applied Statistics)
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August2022 - May 2026 | GPA: 3.80 | Executive and Edge Award
Consumer Insights Data Analyst (Sept 2024 β 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.
Software Engineering Fellow (July 2024 β 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 OpenAIβs API, Stripe API, and Retrieval-Augmented Generation (RAG) using AWS, scaling to 1000+ users.
Student Researcher (Dec 2023 β 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.
- Python, R, Java, JavaScript, SQL, Swift
- SQL Server, PostgreSQL, MySQL, Firebase
- 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
- Engineered an AI-driven personal finance advisor that improved savings by 15% and enhanced budgeting efficiency by 20%.
- Developed an AI-powered SAP system with invoice scanning, an insights dashboard, and fraud detection, utilizing Azure cloud security.
- Built a MERN stack chatbot-like financial planning assistant using GPT-4 and OpenAIβs API for personalized suggestions.
- Organized 20+ on-campus events and led initiatives to bridge academia and industry through seminars and workshops.
- 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.
- Oracle Cloud Infrastructure 2024 Generative AI Certified Professional (July 2024)
- Microsoft Azure AI Fundamentals Certification (June 2024)
- Fidelity Hackathon β 1st Place (April 2024)