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**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

> TECHNICAL ARSENAL

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Python Java SQL HTML5 CSS3
scikit-learn TensorFlow PyTorch Pandas NumPy
LangChain OpenAI Google Cloud Git Jupyter

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Top languages

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> ACTIVITY GRID

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> FEATURED PROTOCOLS

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Falcon Landing Analytics: End-to-End ML Pipeline

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

→ Repository


Quantum Mechanics Computation Tool

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

→ Repository


Tesla & GameStop Stock Analysis System

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

→ Repository


Real Estate Price Prediction Model

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

→ Repository


··· ███▒▒▒ INITIALIZING_NEXT_PROTOCOLS ▒▒▒███ ···

> CREDENTIALS & CERTIFICATIONS

Generative AI & LLMs

  • 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

Machine Learning & Data Science

  • 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)

Python & Development

  • 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)

Cloud & Data Tools

  • 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)

Professional Development

  • 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)

> PROFESSIONAL EXPERIENCE

McKinsey Forward Program Trainee

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


Open Source Contributor

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


> EDUCATION

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

> MANIFEST

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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

> LANGUAGES

English — Full Professional Proficiency
Hindi — Native Proficiency
Urdu — Native Proficiency
German — Limited Working Proficiency (Duolingo: 63)


> SIGNAL UPLINK

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  • GitHub — github.com/shamiquekhan
  • LinkedIn — linkedin.com/in/shamique-khan
  • Email[email protected]

> SYSTEM DECLARATION

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

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