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mrprashantkumar2323-ctrl/README.md

Prashant Kumar Header Banner

Prashant Kumar

Hi there, I'm Prashant Kumar 👋

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💻 Developer Terminal Diagnostics

Developer Terminal Diagnostics

🏆 3D Achievement Trophies

GitHub Trophies

💫 About Me

I am a detail-oriented and analytical Computer Science & Engineering undergraduate (expected 2027) with a deep passion for Data Analytics, Machine Learning, and Generative AI. My work bridges the gap between raw datasets and actionable business intelligence — translating statistical findings into interactive dashboards, predictive risk models, and automated decision-making workflows.

  • 🔭 Specialized Focus: End-to-end data pipelines, predictive modeling (Scikit-Learn, Random Forest), quantitative risk analytics, and interactive Business Intelligence (Power BI, DAX).
  • 🧠 Modern AI: Designing Agentic AI systems with human-in-the-loop architectures and SHAP-based explainable AI guardrails.
  • 🎓 Education: Pursuing Bachelor of Technology in Computer Science & Engineering at Arya College of Engineering & IT, affiliated with Rajasthan Technical University.
  • 💼 Industry Simulations: Completed intensive data & quant programs with British Airways, Deloitte Australia, Tata, JPMorgan Chase & Co., and Oasis Infobyte.
  • 💬 Ask me about: Python, Pandas, Power BI DAX, Predictive Analytics, Delinquency Scoring, IoT Sensor Analytics, and Exploratory Data Analysis.

🚀 Production Repositories Showcase (Click Cards to View Code)

🤖 Machine Learning, Data Science & AI Systems

📊 Business Intelligence & Quantitative Finance

⚡ High-Performance Systems & Algorithms

🔬 Project Directory & Deep Dives

✈️ British Airways Booking Prediction

  • Random Forest Classifier trained on 50,000+ flight records predicting booking conversions with 85.20% accuracy.
  • Feature importance ranking isolating purchase lead, flight duration, and preferred seating.
  • Algorithmic rule engine for passenger lounge eligibility at Heathrow Terminal 3.

View Code →

🤖 Tata GenAI Collections (Geldium)

  • Architected an Agentic AI collections framework combining predictive risk scoring with automated reminder interventions.
  • Human-in-the-loop governance for high-risk accounts and hardship plan escalations.
  • Implemented Responsible AI guardrails using SHAP explainability metrics and regulatory checks (ECOA, GDPR).

View Code →

🏭 IoT Smart Factory Predictive Maintenance

  • Streaming industrial telemetry ingestion for machine vibration, temperature, and motor RPM.
  • Rolling window feature engineering capturing harmonic variance and thermal dissipation.
  • Predictive maintenance classifier flagging machine breakdown 45+ minutes in advance.

View Code →

🔍 Deloitte Forensic Ledger Audit

  • Forensic data auditing on corporate accounting ledgers to detect invoice fraud and unauthorized spend.
  • Mathematical first-digit Benford's Law distribution analysis identifying tampered transactions.
  • Unsupervised Isolation Forest isolating anomalous cross-border transaction clusters.

View Code →

📊 Enterprise HR Analytics & Turnover ML

  • Multi-page interactive executive intelligence dashboard tracking workforce attrition and salary equity.
  • Integrated Python Random Forest model (`hr_attrition_predictor.py`) isolating overtime and tenure attrition drivers.
  • Comprehensive DAX measure library for organizational retention analytics.

View Code →

📈 Global Sales BI & RFM Segmentation

  • Gross-to-Net revenue waterfall modeling with discount elasticity and gross margin optimization.
  • RFM (Recency, Frequency, Monetary) quantile customer segmentation isolating champion cohorts.
  • Production DAX library for Year-over-Year (YoY) revenue pacing and rolling moving averages.

View Code →

📈 JPMC Quantitative Credit Risk

  • Valuation models for natural gas commodity storage contracts based on forward injection schedules.
  • Credit risk default probability modeling on borrower portfolios.
  • Dynamic programming optimization for optimal FICO score binning.

View Code →

⚡ C++ High-Performance Engine

  • Zero-dependency C++17 spatial vector physics engine with operator overloading.
  • Boundary collision handling with kinetic energy restitution damping.
  • Decoupled frame-rate independent delta-time simulation tick loop.

View Code →

🛠️ Interactive Skills Matrix

Skills Icons

Category Technologies & Tools
Programming & Scripting Python, C++, C, SQL, DAX, Bash
Data Science & ML Scikit-Learn, Pandas, NumPy, Predictive Modeling, Feature Engineering, SHAP, EDA
Analytics & Visualization Power BI, Matplotlib, Seaborn, Microsoft Excel (Advanced), Data Storytelling
Modern AI & Frameworks Generative AI, Agentic AI Workflows, Prompt Engineering, Risk Scoring Systems
Environments & Tools Git, GitHub, VS Code, Jupyter Notebook, Anaconda, Linux, Unity

🏆 Verified Industry Credentials & Certifications

Click to expand / view verified simulation certificates
British Airways
Data Science Simulation (Forage)

British Airways 		Tata
GenAI Data Analytics (Forage)

Tata GenAI 		JPMorgan Chase & Co.
Quantitative Research (Forage)

JPMorgan Chase
Deloitte Australia
Data Analytics Simulation (Forage)

Deloitte 		Oasis Infobyte (AICTE)
Data Science Internship

Oasis Infobyte 		Unity Game Programming
Software Conceptual Design


Gamecon & Elementa Participant

📈 Contribution Activity Graph

Activity Graph

📊 GitHub Statistics & Analytics

GitHub Stats GitHub Streak

Top Languages

🐍 Contribution Activity Snake

Contribution Snake Animation

💡 Daily Engineering & Data Philosophy

Dev Quote

🤝 Let's Connect & Collaborate!

I am always eager to collaborate on innovative data science projects, analytics dashboards, and AI solutions. Feel free to reach out!

LinkedIn    Email    GitHub

"Turning complex data into actionable intelligence and strategic business impact."

⭐ Star this repository if you found it inspiring! ⭐

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    Interactive HR Analytics Dashboard built with Power BI to analyze employee attrition, salary, performance, satisfaction, and workforce trends.

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  3. British-Airways-Customer-Booking-Prediction British-Airways-Customer-Booking-Prediction Public

    British Airways Data Science Simulation: Random Forest customer booking predictive model & Heathrow lounge eligibility.

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  4. Tata-GenAI-Financial-Delinquency-Collections Tata-GenAI-Financial-Delinquency-Collections Public

    Tata GenAI Job Simulation: Agentic AI Collections System (Geldium), Delinquency Prediction & Responsible SHAP Explainability.

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  5. JPMorgan-Quantitative-Research-Credit-Risk JPMorgan-Quantitative-Research-Credit-Risk Public

    JPMorgan Chase & Co. Quantitative Research Simulation: Commodity storage pricing, credit risk analysis & dynamic FICO score bucketing.

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  6. Netflix-Data-Analysis-Project Netflix-Data-Analysis-Project Public

    Comprehensive Exploratory Data Analysis (EDA) on Netflix's global content catalog using Python, Pandas & Seaborn.

    Jupyter Notebook