Self-taught Data Analyst with around 6 years' track record of analyzing,
cleansing, and visualizing data with exceptional communication skills.
I enjoy learning and I am eager to face new challenges.
- Structure, model, and analyze Master Data to enable effective forecasting and decision-making for the managing
directors.
- Develop Master data quality and informational dashboards to provide visibility to the managing directors using Power BI.
- Manage and apply data governance.
- Update cleansed data on SAP (in mass), and ensure every new master data record complies with DQ rules.
- Analyze data quality issues' root cause(s) and establish best practices and rules to prevent those issues from reappearing.
- Document all processes and set up a data dictionary.
- Develop an ML web app to cluster sectors more efficiently for the delivery personnel
using Python via Google Colab and Flask.
Structure, model, and analyze Master Data to enable effective forecasting and decision-making for the managing directors.
Develop Master data quality and informational dashboards to provide visibility to the managing directors using Power BI.
Manage and apply data governance.
Update cleansed data on SAP (in mass), and ensure every new master data record complies with DQ rules.
Analyze data quality issues' root cause(s) and establish best practices and rules to prevent those issues from re-appearing.
Document all processes and set up a data dictionary.
Develop an ML web app to cluster sectors more efficiently for the delivery personnel using Python via Google Colab and Flask.
Create and set up validation rules for the Business Glossary.
Deliver insights on data management areas of knowledge and potential improvements.
Develop data quality dashboards that generate visibility of DQ dimensions using Power BI.
Profile data and develop data cleansing workflows using Informatica.
Analyze data quality issues' root cause(s) and establish best practices and rules to prevent those issues from re-appearing.
Follow up with the developers to validate their modifications on Confluence and XWIKI
Continuously improving Palmyra's (the product) documentation and keeping it up to date (code-wise and writing-wise).
Software development using C#, MSSQL, MVC.
Data Analytics using Power BI, PostgreSQL, Knime.
Visualize data on Power BI interactive and highly informative dashboards, after analyzing it (using Knime analytics) for managing directors and clients to help make decisions.
ETL: scripting using PL/SQL, SQL, AWS Athena, and AWS ETL workflows.
Analyze chatbot conversations to improve the chatbot's capabilities of answering the client's questions and visualize the output on a Power BI dashboard.
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