As a data specialist with a focus on Software Engineering, I provide technical solutions that help businesses make sense of their information. Whether you have a messy Excel sheet that needs cleaning or you need a predictive model built from scratch, I deliver high-quality, reproducible results.
What i offer:
Data Cleaning & Preprocessing: Transforming "dirty" data into a usable format using Python (Pandas/NumPy).
Exploratory Data Analysis (EDA): Identifying trends, patterns, and outliers in your dataset.
Custom Visualizations: Beautiful, easy-to-read charts and dashboards (Matplotlib/Seaborn) for reports or presentations.
Machine Learning: Building predictive models such as Linear Regression, Random Forest, or Classification models using Scikit-learn.
Statistical Insights: Helping you understand the "why" behind your numbers to drive better decision-making.
I am currently working on complex real-world data projects, including food insecurity predictive modeling, and I bring that same analytical rigor to every task. I guarantee clean code, clear documentation, and data-driven results.