✦ I am a Data Scientist with a strong background in data wrangling, exploratory data analysis, data visualization, and predictive modeling.
✦ My objective is to tackle challenging projects, leveraging my analytical mindset and technical skills to craft data-driven solutions that resonate with organizational objectives.
My services encompass:
✅ Collecting, cleaning, and managing data from diverse sources.
✅ Designing, training, and evaluating Machine Learning models for various industries.
✅ Translating data insights into user-friendly formats for colleagues and stakeholders.
My toolkit includes proficiency in:
☑️ Python (Pandas, Numpy, Seaborn, Matplotlib, Scikit-Learn).
☑️ R (dplyr, tidyr, stats, lubridate, ggplot2).
☑️ Machine Learning (K-means, Random Forest, Logistic and Linear Regression).
☑️ Deep Learning (Neural Networks).
☑️ SQL & No-SQL (MySQL, MongoDB).
☑️ Data visualization (Tableau).
☑️ Git & GitHub.
I'm thrilled to explore freelancing opportunities and lend my expertise to exciting projects.
Don't hesitate to reach out to discuss how I can contribute to achieving your business goals!