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Hi πŸ‘‹, I'm Dean Pierrot

πŸš€ Passionate Aspiring Machine Learning Engineer and Data Scientist

A dedicated learner and aspiring machine learning enthusiast currently honing my skills through the Tripleten Bootcamp. πŸ’»

My journey into the world of data science is fueled by a passion for transforming raw data into actionable insights. πŸ“Š I'm on a mission to leverage cutting-edge technologies and robust statistical analysis to empower companies with data-driven decision-making.

πŸ” What I Bring to the Table:

In-depth training in Python, Pandas, NumPy, Matplotlib, and Seaborn. Proven ability to derive meaningful insights from complex datasets. Strong foundation in statistical analysis and hypothesis testing. Commitment to continuous learning and staying at the forefront of industry trends. πŸ› οΈ Tech Toolbox:

Python: My go-to language for data manipulation and analysis. Jupyter Notebooks: Where ideas take shape and insights come to life. Machine Learning: Eager to apply algorithms for predictive modeling and pattern recognition. 🌐 Why You Should Consider Me: I'm not just building projects; I'm crafting solutions that make a tangible impact. My GitHub showcases real-world projects, each a testament to my commitment to mastering the tools and techniques that power data-driven decisions.

Ready to bring a unique blend of analytical prowess and creativity to a team where innovation thrives. Let's embark on this data-driven journey together! πŸš€

Connect with me:

dean-pierrot

Languages and Tools:

csharp django dotnet express git javascript mongodb nodejs postgresql python react unity

dapierrot21

Dean Pierrot's Projects

c-projects icon c-projects

C#/.NET Projects that were done for my time with The Software Guild to become a full stack developer.

calendly-mock icon calendly-mock

A full stack app that allows users to book appointments with other users.

gameinsight-analysis icon gameinsight-analysis

Analyzes trends in the gaming industry from 1980 to 2016. Explore insights on game releases, sales, and player preferences, uncovering correlations, platform popularity, and genre profitability. Dive into the dynamic landscape of the video game market in this data-driven exploration.

instacart_dataset icon instacart_dataset

Instacart is a grocery delivery platform where customers can place a grocery order and have it delivered to them, similar to how Uber Eats and Door Dash work. I've been tasked to clean up the data and prepare a report that gives insight into the shopping habits of Instacart customers.

megaline_sa icon megaline_sa

This project is part of the Tripleten Bootcamp, serving as an exercise to apply and showcase the skills acquired during the program. Conducted as if for a real client, the analysis focuses on telecommunications data from Megaline SA, encompassing user behavior, revenue patterns, and plan performance.

ml_heart_disease_prediction icon ml_heart_disease_prediction

This repo contains code for my ongoing heart disease prediction project. It involves data cleaning, model selection, and evaluation, providing hands-on experience with machine learning project workflow. Code is written in Python using scikit-learn and pandas libraries.

mri_tumor_segmentation icon mri_tumor_segmentation

"MRI Tumor Segmentation project: Developing a deep learning model for segmenting brain tumors from MRI scans. Includes data preprocessing of DICOM images, model training, validation, and integration with genomic data for advanced cancer research insights."

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