---
Predictive Intelligence for SpaceX Falcon 9 Landing Success
Status: COMPLETE | Accuracy: 85.19% | Impact: Production-Grade ML Architecture
Engineered a comprehensive machine learning pipeline analyzing SpaceX Falcon 9 first-stage landing success with multi-model comparison and statistical optimization.
Technical Specifications:
- Integrated real-world SpaceX API data (90 launches, 187+ records)
- Implemented Decision Trees, Random Forest, and XGBoost with systematic evaluation
- Applied hyperparameter tuning and k-fold cross-validation for model optimization
- Discovered critical insight: +0.95 correlation between flight experience and landing success
- Generated interactive Plotly dashboards for stakeholder communication
Technologies: Python • Scikit-Learn • Pandas • NumPy • REST APIs • Machine Learning Pipelines
Advanced Physics Simulation System
Status: COMPLETE | Lines of Code: 5000+ | Theory Applied: Schrödinger Equation
Developed a sophisticated computational system solving quantum mechanics problems with verified accuracy against experimental data.
Technical Specifications:
- Implemented analytical and numerical solutions for particle-in-a-box systems
- Accurately predicted UV-Vis absorption spectra (0% error vs. experimental baseline)
- Numerically verified Heisenberg Uncertainty Principle across quantum states
- Created advanced visualizations for wave-particle duality and quantization effects
- Produced comprehensive documentation (13,000+ lines)
Technologies: Python • NumPy • SciPy • Matplotlib • Seaborn • Computational Physics
Financial Data Pipeline & Visualization Platform
Status: COMPLETE | Data Sources: Multi-API Integration | Visualizations: 6 Professional Dashboards
Built integrated financial data analysis platform demonstrating production-grade data engineering and API orchestration.
Technical Specifications:
- Yahoo Finance API integration with robust error handling and fallback mechanisms
- Web scraping pipeline using BeautifulSoup for multi-source data aggregation
- Advanced time-series analysis with volatility calculations and correlation studies
- Professional visualizations combining interactive Plotly and analytical Matplotlib
- Comprehensive data cleaning and transformation workflows
Technologies: Python • Pandas • NumPy • BeautifulSoup • Plotly • Matplotlib • REST APIs
Advanced Regression Pipeline
Status: COMPLETE | Dataset Size: 13,000+ records | Feature Insights: 8 Critical Drivers
Engineered end-to-end machine learning pipeline for residential property price prediction with advanced feature engineering.
Technical Specifications:
- Comprehensive data preprocessing and feature engineering workflows
- Trained Decision Trees, Random Forest, and XGBoost with systematic comparison
- Implemented cross-validation and hyperparameter optimization strategies
- Identified key price drivers: rooms, land size, building area, proximity to CBD
- Conducted feature importance analysis for actionable business insights
Technologies: Python • Scikit-Learn • Pandas • NumPy • Cross-Validation • Model Evaluation
··· ███▒▒▒ INITIALIZING_NEXT_PROTOCOLS ▒▒▒███ ···
- Oracle Cloud Infrastructure 2025 Certified Generative AI Professional (Oct 2025)
- Specialization: RAG, Fine Tuning, Vector Databases, LangChain
- IBM Generative AI: Elevate Your Data Science Career (Nov 2025)
- Credential ID: 8XLJ4LE0OJT1
- Columbia+ Prompt Engineering & Programming with OpenAI (Jul 2025)
- Credential ID: 154800100 | Focus: LangChain, LLaMA, Advanced GenAI
- IBM Data Science Professional Certification (Nov 2025)
- Credential ID: YYICIR3BM019
- Kaggle Intermediate Machine Learning (Nov 2025)
- Kaggle Intro to Machine Learning (Nov 2025)
- University of London Machine Learning for All (Oct 2025)
- IBM Python for Data Science, AI & Development (Aug 2025)
- Google Crash Course on Python (Nov 2025)
- Cisco Python Essentials 1 & 2 (Jul 2025)
- Infosys Springboard: Mastering Python (May 2025)
- Google Cloud Introduction to Large Language Models (Nov 2025)
- IBM Databases and SQL for Data Science (Sep 2025)
- MongoDB Basics for Students (Oct 2025)
- Infosys Springboard: Hands-On Version Control with Git (May 2025)
- McKinsey Forward Program (Sep 2025 - Present)
- Focus: Analytical Thinking, Problem-Solving, Decision-Making
- Google Analytics Certification (Jul 2025)
- Deloitte Data Analytics Job Simulation (Jun 2025)
Remote | Sep 2025 - Present
Developing analytical thinking, problem-solving, and communication skills in data-driven decision-making contexts.
Skills: Critical Thinking, Analytical Reasoning, Communication, Leadership
GirlScript Summer of Code 2025 | Remote | Jul 2025 - Present
Selected contributor actively building features for multiple open-source projects with focus on backend Python logic and full-stack implementation.
Contributions: Python Scripting • Backend Logic • Frontend UI (HTML/CSS) • Open Source Collaboration
Bachelor of Technology (BTech), Computer Science Engineering
VIT Bhopal University | Jul 2025 - Jul 2029
- Specialization: Artificial Intelligence and Machine Learning
- Registration: 25BAI10187 | Class: B11+B12+B13
- Focus Areas: 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 Proficiency
Hindi — Native Proficiency
Urdu — Native Proficiency
German — Limited Working Proficiency (Duolingo: 63)
- 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
> STATUS: INITIALIZING_NEXT_PROTOCOLS
> READY_FOR_COLLABORATION
> ALWAYS_LEARNING
Last Updated: December 6, 2025
#MachineLearning #DataScience #AI #Python #GenerativeAI #GitHub #ArtsificialIntelligence #OpenSource #NeuralNetworks #DataEngineering