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barancanercan/README.md

Hi there! πŸ‘‹ I'm Baran Can Ercan

Senior Data Scientist | AI/ML Enthusiast | Public Sector Innovation

LinkedIn Medium Email

πŸš€ About Me

Senior Data Scientist at Ankara Metropolitan Municipality with a passion for leveraging AI and machine learning to solve real-world problems and improve public services. I hold a Master's degree in Statistics with specialization in NLP/AI, and I'm currently focused on advancing LLM applications in municipal services.

🎯 What I Do

  • Predictive Analytics: Developed election forecasting models with 98.8% accuracy using advanced ML techniques
  • NLP & LLMs: Implementing large language models for call center optimization and citizen service enhancement
  • Public Policy Impact: Using data science to influence municipal strategies and improve urban infrastructure
  • Community Engagement: Active blogger and speaker, sharing knowledge through career talks and data science communities

πŸ› οΈ Tech Stack

Languages & Frameworks

Python SQL TensorFlow Scikit-Learn Keras

NLP & AI

BERT LLaMA HuggingFace ChatGPT API

Tools & Platforms

Docker Kubernetes MLflow FastAPI GCP

πŸ† Key Projects & Achievements

πŸ—³οΈ Election Forecasting System

  • Developed predictive models achieving 98.8% accuracy for 2024 Local Elections
  • Utilized Cozmic Bazaar Theory and advanced ML algorithms
  • Directly influenced municipal strategies and decision-making

πŸ—οΈ Smart Infrastructure Optimization

  • Implemented LLM-based models for call center data analysis
  • Optimized road and asphalt repair scheduling
  • Enhanced urban infrastructure planning efficiency

🚍 Public Transportation Enhancement

  • Analyzed Başkent 153 complaint data using NLP techniques
  • Restructured bus routes and schedules based on citizen feedback
  • Improved service efficiency during peak hours

πŸ’§ Water Usage Anomaly Detection

  • Developed statistical rule-based detection system using LSTM and RNN
  • Implemented at ASKI for illegal water usage detection
  • Significantly improved resource management

πŸ“Š GitHub Stats

GitHub Stats

Top Languages

🌱 Currently Learning

  • Advanced LLM Architectures: Exploring cutting-edge transformer models and their applications
  • MLOps Best Practices: Implementing robust ML pipelines for production environments
  • Generative AI: Developing innovative solutions using generative models for municipal services

πŸ“ Recent Blog Posts

  • Check out my latest insights on Medium
  • Topics: Machine Learning, NLP, Public Sector AI, Data Science Best Practices

πŸŽ“ Education & Certifications

  • M.Sc. Statistics (NLP/AI) - Ege University (2024)
  • B.Sc. Statistics - Ege University (2020)
  • Production Level Data Science - Miuul (2023)
  • Natural Language Processing (NLP) - Miuul (2024)
  • Deep Learning Bootcamp - Global AI Hub (2022)

🀝 Community Involvement

  • Data Monitoring Coordinator - Turkish Elections 2023-2024
  • Earthquake Relief Coordinator - February 6th Disaster Response
  • Guest Speaker - Career talks at universities and data science events
  • Open Source Contributor - Maintaining Şeffaf Ankara, Turkey's first map-based open data platform

πŸ“« Let's Connect!

I'm always interested in collaborating on meaningful data science projects, especially those that can make a positive impact on society. Whether you're working on public sector innovation, NLP applications, or just want to discuss the latest in AI/ML - feel free to reach out!

"Harnessing Data for Public Good" 🌟


"Data science is not just about algorithms and models; it's about creating solutions that improve lives and communities."

⭐ From barancanercan

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  1. worldHappinessReport worldHappinessReport Public

    This dataset consists of World Happiness Reports published for the first time in 2012, ranking 155 countries according to their happiness levels.

    Jupyter Notebook