Data Scientist with over six years of experience specializing in statistics, data analysis, data science, machine learning, data visualization, and leadership. Proficient in technologies and tools essential for data analysis and modeling, including Python with libraries such as pandas, numpy, scikit-learn, scipy, seaborn, and matplotlib, as well as R and SQL. Familiarity extends to data handling utilities like Google Colab, Excel, and Google Sheets.
Demonstrates expertise in data visualization using tools such as Data Studio, Power BI, and ggplot2, along with matplotlib and seaborn. Capable of generating comprehensive reports using PowerPoint and Google Presentations. Possesses strong skills in code versioning with extensive use of Git, GitHub, and GitLab for effective source code management.
Experienced in database management with proficiency in Big Query, SQL Server, and SQLite, ensuring efficient database operations. Exhibit comprehensive management abilities employing Kanban and Jira for project oversight along with the implementation of frameworks such as OKRs (Objectives & Key Results) and SWOT analysis. Proven in developing data department policies, structuring processes, and managing delivery flows.
Special interest areas include Machine Learning, Time Series Analysis, Non-parametric Methods, Regression Analysis, KPI development, and demonstrating robust leadership qualities.
