Location // Earth
Focus // Artificial Intelligence, Machine Learning, Data Science
Current_Mission // Building intelligent systems that decode complexity into clarity
Status // CS Student @ VIT Bhopal • AI/ML Specialist • Data Engineer
AI‑Powered Investment Insights with Multi‑Provider Market Data
Built an AI investment advisor that analyzes stocks using real‑time market data, financial news sentiment, and an AI scoring engine.[web:60][web:61][web:63]
Implements a production‑style architecture with caching, rate‑limit handling, and multi‑provider failover.[web:60][web:61][web:63][web:65]
Capabilities:
- Integrates Yahoo Finance (yfinance), Finnhub, Alpha Vantage for prices, fundamentals, and historical data.[web:60][web:61][web:63][web:65]
- Uses FinBERT sentiment analysis to score recent news and earnings headlines.[web:62][web:68]
- Computes a 0–10 AI score per stock with STRONG BUY / BUY / HOLD‑style labels.
- Generates sample portfolio allocations, expected return, and risk profile.
- Deployed as a live Streamlit app with 1‑hour caching and graceful fallbacks.[web:60][web:61]
Tech Stack: Python • Streamlit • yfinance • Finnhub API • Alpha Vantage • HuggingFace Transformers (FinBERT) • Pandas • NumPy • Requests • Caching & Rate‑Limit Handling
Predictive Intelligence for SpaceX Falcon 9 Landing Success
Engineered a machine learning pipeline analyzing Falcon 9 first‑stage landing success with multiple models and statistical optimization.
Technologies: Python • Scikit‑Learn • Pandas • NumPy • REST APIs • ML Pipelines
Advanced Physics Simulation System
Advanced Physics Simulation System
Built a computational system for solving quantum mechanics problems with analytical and numerical methods.
Technologies: Python • NumPy • SciPy • Matplotlib • Seaborn • Computational Physics
Financial Data Pipeline & Visualization Platform
Created a financial data analysis platform demonstrating production‑style data engineering and visualization.
Technologies: Python • Pandas • NumPy • BeautifulSoup • Plotly • Matplotlib • REST APIs
Advanced Regression Pipeline
Developed an end‑to‑end ML pipeline for residential property price prediction with feature engineering and model comparison.
Technologies: Python • Scikit‑Learn • Pandas • NumPy • Model Evaluation
- Oracle Cloud Infrastructure 2025 Certified Generative AI Professional
- IBM Generative AI: Elevate Your Data Science Career
- Columbia+: Prompt Engineering & Programming with OpenAI
- IBM Data Science Professional Certification
- Kaggle Intermediate Machine Learning
- Kaggle Intro to Machine Learning
- University of London – Machine Learning for All
- IBM Python for Data Science, AI & Development
- Google Crash Course on Python
- Cisco Python Essentials 1 & 2
- Infosys Springboard: Mastering Python
- Google Cloud – Introduction to Large Language Models
- IBM Databases and SQL for Data Science
- MongoDB Basics for Students
- Infosys Springboard: Hands-On Version Control with Git
- McKinsey Forward Program (Trainee)
- Google Analytics Certification
- Deloitte Data Analytics Job Simulation
Remote
Developing analytical thinking, problem‑solving, and communication skills in data‑driven decision‑making contexts.
Contributing Python backend logic and full‑stack features to multiple open‑source projects.
Bachelor of Technology (BTech), Computer Science Engineering (AI & ML)
VIT Bhopal University | 2025–2029
Focus: AI Systems, Generative AI, Python Development, Computational Methods
An engineer dedicated to translating raw data into actionable intelligence. Specializing in machine learning pipelines, generative AI systems, and data-driven decision making. Focused on building transparent, interpretable models that bridge the gap between complex algorithms and human understanding.
Currently exploring:
- Advanced transformer architectures and LLM fine-tuning
- Retrieval-Augmented Generation systems and knowledge integration
- Cloud-native ML infrastructure and scalable AI applications
- Ethical AI and responsible machine learning practices
English — Full Professional
Hindi — Native
Urdu — Native
German — Limited Working Proficiency
- GitHub — github.com/shamiquekhan
- LinkedIn — linkedin.com/in/shamique-khan
- Email — [email protected]
Philosophy: Transparency in Technology
Approach: Data-Driven, Methodical, Iterative
Goal: Building intelligent systems that augment human capability