Konstantinos Bitos

bitoskostas1@gmail.com (+30) 6978401468 LinkedIn GitHub Thessaloniki, Greece

Work Experience

Data Analyst

July 2022 - March 2024
Margera  -  Remote
  • Transformed complex data from multiple sources into coherent, actionable insights.
  • Used data-driven decision making to help redesign the customer acquisition strategy, increasing revenue by 20%.
  • Designed and created dashboards for periodic or ad-hoc needs; dashboards used by more than 25 executives.
  • Partnered with clients to translate business requirements into tangible deliverables.

Education

Electrical and Computer Engineering

Graduation: Dec 2025
Aristotle University of Thessaloniki  -  Thessaloniki, Greece
  • Published Master's thesis on nuclear technology.
  • Specialized in telecommunications.

Projects

Cloud Resume Challenge - AWS, Python, Terraform, CI/CD

  • Designed and hosted a secure static website using HTML5, CSS3, and JavaScript on AWS S3, accelerating content delivery via CloudFront (CDN) and Route53.
  • Engineered a serverless backend REST API with Python (Boto3) and AWS Lambda to persist visitor data in DynamoDB, implementing end-to-end testing to validate data integrity.
  • Automated infrastructure provisioning using Terraform and established a CI/CD pipeline with GitHub Actions for automated testing and deployment.
Website GitHub

Customer Profiling - SQL and Python

  • Analyzed treadmill sales data to profile customers by product type and derived actionable marketing insights.
  • Calculated averages, distributions, and two-way contingency tables for categorical variables and visualized numeric data.
Article GitHub

Serverless ETL Pipeline - Google Cloud

  • Built a serverless ETL pipeline for processing and storing structured data in the cloud.
  • Automated data ingestion, transformation, and storage using Python scripts triggered by cloud events.
GitHub

Bank Customer Churn Prediction - Machine Learning

  • Built a predictive model to identify bank customers likely to leave using demographic and financial data.
  • Performed feature engineering, trained Random Forest and Gradient Boosting models, and optimized probability thresholds.
GitHub

Certifications, Skills & Interests

Skills

Python (Pandas, Numpy, Scikit-learn, Boto3), SQL, AWS (Lambda, S3, DynamoDB), CI/CD (GitHub Actions), Terraform (IaC), Machine Learning, PowerBI, LookerStudio, Google Analytics, Excel.

Certifications

Microsoft: PowerBI Data Analyst Associate, Google: LookerStudio, Google: Analytics GA4, Google: Tag Manager.

Interests

Chess, Movies, Electronics, Tabletop games.