Welcome to my Portfolio! I'm an industrial engineer with a passion for data analysis. With over 5 years of experience in project analysis and coordination, I am now transitioning into a career as a data analyst. This repository showcases a collection of my data analysis projects, highlighting my skills, expertise and experience in the field of data analysis. Here you will find a collection of my work and a glimpse into my journey as a data enthusiast.
I am a highly motivated and detail-oriented professional with a strong background in project analysis and coordination. Throughout my career, I have gained extensive experience in managing and coordinating complex projects, analyzing data, identifying trends and providing valuable insights for process inprovement and drive decision-making.
My journey into the field of data analysis began during my time as a project analyst and assistant. Working closely with cross-functional teams, I realized the power of data in uncovering patterns, identifying trends, and making informed business and project decisions. This realization sparked my passion for data analysis and led me to pursue further education and training in this field.
I am a lifelong learner, constantly seeking new opportunities to enhance my skills and stay updated with the latest advancements in data analysis techniques and tools. My strong analytical mindset, combined with my background in project management, equips me with a unique perspective in leveraging data to drive project success.
I believe that data has the power to transform businesses and drive growth. I am excited about the opportunity to collaborate with like-minded individuals and organizations to unlock the true potential of data-driven decision-making.
In this portfolio repository, you will find a collection of my data analysis projects, showcasing my skills and expertise in handling diverse datasets, utilizing analytical tools, and deriving meaningful insights. Each project demonstrates my ability to translate complex data into actionable recommendations, contributing to improved business performance and decision-making.
Feel free to explore the projects and their accompanying documentation to get a better understanding of my analytical approach and the value I can bring to data-driven initiatives.
Each project in this repository is organized into separate folders. Inside each folder, you will find the data files, project code, and notebook with detailed information about the project or case study, including the objectives, methodologies, and key findings.
Throughout these projects, I have leveraged various tools and technologies to perform data analysis effectively:
- Programming Languages: Python, R.
- Data Analysis Libraries: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn.
- Statistical Analysis: Hypothesis testing, Regression analysis, Time series analysis.
- Data Visualization: Tableau, Tidyverse, Matplotlib, Seaborn.
- Machine Learning: Clustering, Classification, Regression.
If you have any questions, feedback, or would like to learn more about my work, please feel free to reach out to me:
- Email: andrevelasquezm8@gmail.com
- LinkedIn: https://www.linkedin.com/in/jaimevelasquezmoscoso/?locale=en_US
I am open to new opportunities and collaborations. I look forward to connecting with you!
Thank you for visiting my Portfolio! I hope you find the projects informative and inspiring.