https://github.com/josericodata/josericodata

Adding a cool README file
https://github.com/josericodata/josericodata

big-data data-analysis data-science dublin hadoop hadoop-mapreduce hadoop-spark ireland jobsearch jobseeker portfolio portfolio-data-science portfolio-website python sql

Last synced: 6 days ago
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Adding a cool README file

• Host: GitHub
• URL: https://github.com/josericodata/josericodata
• Owner: josericodata
• License: mit
• Created: 2022-09-05T08:35:20.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-07-12T10:32:06.000Z (4 months ago)
• Last Synced: 2024-07-12T12:04:36.266Z (4 months ago)
• Topics: big-data, data-analysis, data-science, dublin, hadoop, hadoop-mapreduce, hadoop-spark, ireland, jobsearch, jobseeker, portfolio, portfolio-data-science, portfolio-website, python, sql
• Homepage: https://josericodata.github.io/
• Size: 86.9 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
Hi! 





 



### About Me

Greetings! I’m Jose, originally from Spain and have made Ireland my home for the past six years. I am currently working as a Senior Pricing Analyst at Cardinal Health, where my role involves bridging the gap between business needs and IT capabilities. My primary focus is on ensuring data accuracy within Salesforce and SAP systems, and creating insightful visualizations to support commercial, and bids and tender teams.

I recently graduated with a Master of Science in Data Analytics from CCT College. I'm now seeking new opportunities to apply my skills, continue developing my expertise, and contribute effectively to any potential future employer.

### Skills

- **Machine Learning:** Proficient in applying machine learning techniques such as `Random Forest`, `Decision Trees`, `K-Nearest Neighbors`, `Neural Networks (NNs)`, and `Convolutional Neural Networks (CNNs)`.

- **Statistics for Data Analysis:** Strong foundation in statistical methods for analyzing data, including `Confidence Intervals`, `Chi-Square Test`, `Hypothesis Testing`, `ANOVA Test`, and `Kruskal-Wallis Test`.

- **Programming for Data Analytics:** Experienced in programming languages such as Python, SQL, and R.

- **Big Data Storage & Processing:** Knowledgeable in handling and processing large datasets using the Hadoop ecosystem, including `Spark`, `MapReduce`, `Hive`, as well as databases like `Cassandra` and `MongoDB`.

- **Advanced Data Analysis:** Capable of performing complex data analysis to derive actionable insights, using Python libraries such as `pandas`, `numpy`, `scipy`, `matplotlib`, `seaborn`, and `scikit-learn`.



  

    

  

  

    

  

  

    

  



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