class Summary:
    def __init__(self):
        self.name = "Gagan Biradar"
        self.role = "Graduate Engineer Trainee @ Space Energy Systems Private Ltd"
        self.location = "Bengaluru, Karnataka, India 🇮🇳"
        self.education = {
            "current": "M.Sc. Financial Engineering | WorldQuant University",
            "completed": "B.E. Information Science & Engineering | SDM College of Engineering and Technology"
        }
        self.interests = [
            "Data Science", "Quantitative Finance", "Machine Learning",
            "Predictive Analytics", "Full-Stack Development"
        ]
        
    def current_focus(self):
        return {
            "learning": ["Financial Modeling", "Statistical Analysis", "Deep Learning"],
            "working_on": ["BMS Analytics", "React Native Apps", "ETL Pipelines"],
            "goal": "Contributing to technology through data-driven decision making"
        }

me = DataScientist()
print(f"👨‍💻 {me.name} | {me.role}")

Graduate Engineer Trainee @ Space Energy Systems February 2025 - Present | Bengaluru, India 🔋 Battery Management Systems (BMS) Analytics Developed analytical models processing 500,000+ real-time records with 95% accuracy Implemented anomaly detection providing 48-hour advance failure alerts Created audit-ready Power BI dashboards for stakeholder reporting 📱 School Management Application Development Led frontend team for React Native app at Vishwachetana Vidyaniketana, Davangere Designed UI/UX layouts, wireframes, and interactive prototypes Delivered enrollment, attendance, and fee management modules 🛠️ Infrastructure & Engineering Tools Configured on-premises server infrastructure for secure hosting Built drag-and-drop Engineering Layout Tool using Blazor and .NET Implemented ETL pipelines and API integrations 👥 Client Engagement & Leadership Conducted client site visits for demos and feedback gathering Mentored junior developers on React Native best practices Performed prior art searches and IP analysis for patent development

💹 Intelligent stock forecasting with risk profiling and fundamental analysis

Impact: Reduced investment uncertainty by 30% through comprehensive decision support system

Tech Stack: Python Statistical Modeling Financial Data Analysis Risk Profiling

⚡ Real-time battery monitoring with predictive maintenance capabilities

Impact:

• 95% accuracy in degradation prediction
• 48-hour advance anomaly alerts
• 20% reduction in unplanned downtime

Tech Stack: Python SQL Power BI Pandas Time-Series Analysis

🌐 Full-stack mobile app connecting professionals with real-time features

Features: User authentication • Real-time messaging • Profile management • Connection requests

Tech Stack: React Native PostgreSQL GraphQL Apollo Client Node.js

🔍 Large-scale keyword analysis with distributed computing

Impact:

• Processed 500,000+ keywords
• 78% SERP position prediction accuracy
• 40% improvement in organic traffic forecasting
• Automated tracking of 200+ competitor websites

Tech Stack: Apache Spark Hadoop Python Power BI Distributed Computing

📊 Probabilistic simulation for financial risk assessment

Application: Value at Risk (VaR) calculation • Portfolio risk analysis • Uncertainty modeling

Tech Stack: Python Statistical Sampling Monte Carlo Methods ML Algorithms

🎥 Multi-position tracking solution optimized for edge devices

Use Case: Retinal movement analysis for medical diagnostics

Tech Stack: Python OpenCV PyQt Real-time Video Processing

🔬 Research Experience Undergraduate Research in Computational Modeling | 2022 – Oct 2025 Self-Directed via MIT OCW/MITx Focus Areas: Predictive modeling and anomaly detection in complex systems Machine Learning applications in risk forecasting Biomedical science and computational biology DNA-based storage and molecular computing AI/ML in drug discovery and protein structure analysis 📄 Publication "Soul Sync - Connect Through Emotions" International Journal of Scientific Research in Engineering and Management (IJSREM) Published: May 16, 2025 Coauthored paper on AI-powered emotion analytics with real-time sentiment modeling for social platforms.

M.Sc. Financial Engineering | Jan 2026 – Present
WorldQuant University (Distance Learning)

Coursework: Financial Markets, Financial Econometrics, Derivative Pricing, Stochastic Modeling, Machine Learning in Finance, Deep Learning in Finance, Portfolio Management, Risk Management

B.E. Information Science & Engineering | 2021 – 2025
SDM College of Engineering & Technology, Dharwad

Coursework: Software Development, Big Data Analytics, Mathematics and Statistics, Distributed Systems, Modern Databases, Computer Networks, Data Structures & Algorithms

High School (PCMB) | 2019 – 2021
Smt. Vidya P Hanchinmani PU College

Coursework: Physics, Chemistry, Mathematics, and Biology

• ✅ Application Development & Security with GCP – Google, 2025
• ✅ Networking Fundamentals on Google Cloud – Google, 2025
• ✅ Google Cloud Artificial Intelligence – Google, 2025
• ✅ Information Security (CS406) – Saylor Academy, 2024
• ✅ Python for Data Science (CS250) – Saylor Academy, 2024
• ✅ System Design Interview Mastery – 2025

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