Sena Acikgoz

Data Analyst
Conducted data analysis on construction projects to identify trends, patterns, and areas for improvement.
Developed and maintained databases to track project timelines, costs, and resource allocation, providing real-time insights to project managers and stakeholders.
Implemented data visualization techniques using tools such as Power BI and Excel to create informative dashboards for project status reporting and decision support.
Collaborated with cross-functional teams, including project managers, engineers, and finance professionals, to define key performance indicators (KPIs) and establish data-driven benchmarks.
Conducted exploratory data analysis (EDA) and feature engineering to preprocess and prepare datasets, ensuring optimal model performance and accuracy.
Developed and deployed machine learning models for diverse client projects, leveraging Python, scikit-learn to deliver scalable and efficient solutions.
Implemented various machine learning algorithms, including classification (Logistic regression, Polynominal Regression, Decision tree ext.), regression (Linear Regression, non-linear regression), clustering, and deep learning techniques, to address client-specific challenges.
Utilized a variety of systems and software tools to compile and prepare reports, graphs and charts of data analyzed; primarily Python, SQL, Excel, Machine Learning (Pandas, NumPay, Seaborn).