Skills
Technical Skills
Python, Pandas, NumPy, Scikit-learn, Seaborn, R, Tidyverse, ggplot2, SQL, Dataiku, Tableau, Excel, SAS, Office 365
Data Analysis & Modeling
Data Cleaning, Data Wrangling, Exploratory Data Analysis, Predictive Modeling, Logistic Regression, Linear Models (Simple, Multiple, GLM), K-means Clustering, Random Forest, Gradient Boosting, Statistical Testing (Pearson, Kendall, Chi-square)
Business & Analytical Skills
Risk Analysis, Forecasting Models, KPI Development, Dashboard Creation, CRM Data Management, Business Reporting, Sales Productivity Analytics, Churn Analysis, Customer Segmentation, Data Quality Assurance, Stakeholder Communication
Soft Skills & Traits
Detail-oriented, Analytical Thinker, Organized, Attentive, Concise Communicator, Leadership, Team Management
About
Data Analyst / Data Scientist with a strong background in Mathematical and Statistical Engineering (graduated with honors) and advanced programming skills in Python, R, SQL, and data visualization with Tableau. Significant experience in business analytics and dataforecasting, including the development of predictive models and KPIs to optimize performance
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