👋 Hello, I'm Martin Manrique
Welcome to my GitHub profile! I am a passionate Data Scientist with over 4 years of experience in process automation and data analysis. I thrive on solving complex problems using cutting-edge tools and leveraging my extensive skills in Python and Machine Learning.
🌟 About Me
- 🌍 Location: Hermosillo, Sonora, Mexico
- 🔍 Seeking: Exciting opportunities in computational science and data analysis to continue my professional growth in a dynamic and innovative environment.
- 💡 Currently Learning: Expanding my skills in Java and Rust to work on multidisciplinary projects.
- 📫 How to reach me: LinkedIn | Email
🚀 Skills
Programming Languages
- Python, Fortran, Java, LaTeX
Web Technologies
Database Systems
Data Science & Machine Learning
- Pandas, Numpy, Scikit-learn, Keras
DevOps & Version Control
Specialized Area
- Job automation, Algorithm analysis
Mathematics & Statistical Tools
- Advanced mathematics, Matlib, Tableau
Other Tools & Technologies
Developer/Researcher Skills
- Critical analysis, Analytical thinking, Mastery of the scientific method, Data analysis, Experimental design, Scientific writing, Intellectual curiosity
💼 Experience
-
Python Process Automation Specialist | Avas Flowers (2018-2019)
Automated data capture processes, achieving a 500% efficiency increase and significantly improving SEO analysis workflows.
-
Data Handler | Alterna Phoenix (2020-2022)
Reduced workload by up to 80% and increased speed in invoice creation by automating medical document processing.
-
Data Automation Specialist | Transportes Adriana (2019-2020)
Improved company scalability and increased workflow efficiency by 100% through data capture automation.
📊 Projects
Radiation Detection
- Tools: Electrical circuits, Python, Oscilloscope
- Developed an electronic circuit using commercial transistors as gamma detectors, successfully analyzing data using mathematical methods.
Brownian Simulation
- Tools: Python, Fortran90, C++
- Simulated Brownian colloidal systems using the Monte Carlo method to compare with real-world observations.
Customer Churn Analysis for Interconnect
- Tools: Python, Pandas, Scikit-learn, XGBoost, Keras, Matplotlib
- Conducted EDA, developed machine learning models, and identified key factors in customer churn with optimized prediction accuracy.
🎓 Education
- Physics | University of Sonora (2019)
- Data Science | Tripleten (2023-2024)
📜 Certifications
- Data Handling: SQL (2022)
- Various LinkedIn Courses (Python, unit testing, automation, 2023)
🌱 Interests
- Science, Technology, Continuous Learning
Feel free to explore my repositories and see the work I've done. I am always looking for new opportunities to collaborate and learn. If you find my work interesting, connect with me on LinkedIn or drop me an email. Let's innovate together!
⭐️ If you enjoy my projects, don't forget to give them a star!