Andrew Boules

An innovative Data Analyst | Data Scientist and a former Mechanical Engineer with more than 2 years of experience in the field of tendering, cost, and Data analysis in massive projects.

Driven by my passion for data analysis, I am highly motivated to pursue my career in the Data Science field.

Skilled in data exploration and feature extraction, scaling data, getting the best insights from it by data visualization, and finally selecting models for target prediction with the best accuracy.

I am looking forward to work in what I have studied in data science field, I made some projects in kaggle and I performed some data analysis in addition to using models for prediction to get the best decisions.

9 Month Certified Data Science Professional, I have studied in it too many things such as:

• Understanding the data and our goal target.
• Cleaning the data by dealing with null data & data outliers.
• Exploration through feature extraction.
• Data Analysis and Data visualization using Matplotlib, Plotypy & Seaborn.
• Scaling the data.
• Splitting the data frame into features & target.
• Splitting the data to train & test.
• Using predictive models from Sklearn library to get the best results.
• Avoiding underfitting & overfitting.
• Using Grid search method.
• Project deployment using flask.
• Using Power BI tool for analysis.
• Problem Solving.
• Web Scrabing
• Data sets using My SQL & PostgreSQL