Skip to content
View senihberkay's full-sized avatar

Block or report senihberkay

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
senihberkay/README.md

Hi there! I'm Senih Berkay Akın 👋

Typing SVG

🚀 About Me

I'm a Computer Science & Engineering graduate from Sabancı University, currently working at Çalık Enerji. I'm passionate about transforming raw data into actionable insights and building intelligent systems that make a difference.

  • 🔬 Current Focus: Machine Learning & Advanced Analytics
  • 💼 Role: Data Scientist at Çalık Enerji
  • 🌍 Location: Turkey
  • 📧 Contact: senihberkay@gmail.com

🛠️ Tech Stack & Skills

Programming Languages

Python SQL R

Data Science & ML

Pandas NumPy Scikit-learn TensorFlow PyTorch

Data Visualization & BI

Power BI Matplotlib Seaborn Plotly

Cloud & Tools

AWS Docker Git Jupyter


📊 GitHub Analytics

GitHub Streak

🎯 What I Do

class DataScientist:
    def __init__(self):
        self.name = "Senih Berkay Akın"
        self.role = "Data Scientist"
        self.expertise = [
            "Data Analytics", "ETL Processes", "Business Intelligence",
            "Machine Learning", "Data Visualization", "Statistical Analysis"
        ]
        
    def build_solutions(self):
        return "Scalable data pipelines and ML models that drive business value"
    
    def current_learning(self):
        return ["Advanced ML Algorithms", "MLOps", "Deep Learning"]

🌟 Key Strengths

  • 🔍 Data Analytics: Expertise in extracting meaningful insights from complex datasets
  • ⚡ ETL Processes: Building efficient data pipelines and transformation workflows
  • 📈 Business Intelligence: Creating compelling dashboards and reports with PowerBI
  • 🤖 Machine Learning: Developing and deploying predictive models
  • 📊 Data Visualization: Telling stories through data with impactful visualizations
  • 🚀 Fast Learner: Quickly adapting to new technologies and methodologies

🤝 Let's Connect!

Website LinkedIn Medium Email


Profile Views
💡 "Turning data into insights, insights into action"

Pinned Loading

  1. car-price-prediction-with-streamlit car-price-prediction-with-streamlit Public

    Deployed ML model via Streamlit on EC2 by applying necessary machine learning algorithms using AutoScout data.

    Jupyter Notebook 1 3

  2. Clustering-Analysis-Customers-Segmentation Clustering-Analysis-Customers-Segmentation Public

    Cluster Analysis with an Unsupervised Learning method.

    Jupyter Notebook

  3. Airbnb-Istanbul-Rental-Analysis Airbnb-Istanbul-Rental-Analysis Public

    This project explores a database from Kaggle, based on Airbnb. It is selected to analyze the prices of the properties in Istanbul. By exploring the dataset, our goal is to reveal what factors are d…

    Jupyter Notebook

  4. AutoScout-Data-Analysis-with-Python AutoScout-Data-Analysis-with-Python Public

    AutoScout Data Analysis Project. The project consists of Data Cleaning, Missing Values, and Handling Outliers of Data by using Python.

    Jupyter Notebook 1

  5. US-Citizens-Data-Analysis-Visualization-with-Python US-Citizens-Data-Analysis-Visualization-with-Python Public

    US Citizens EDA

    Jupyter Notebook

  6. US-Crime-Reports-with-Python US-Crime-Reports-with-Python Public

    Analyzing and visualizing data according to the US crime reports

    Jupyter Notebook