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Heidelyn Diaz

Heidelyn Diaz

Data Analyst

Summan SAS

Technologies

My Portfolio Highlights

My New Track

Tableau Fundamentals

My New Track

Associate Data Analyst in SQL (previously Data Analyst in SQL)

My New Track

Data Literacy Professional

My New Track

Tableau Fundamentals

My Work

Take a look at my latest work.

course

Case Study: Analyzing Customer Churn in Tableau

DataLab

Loan Data

DataLab

Analyzing Student's Mental Health - Guided

github

SQL-portfolio

article

Gender and Human Development Index

course

Case Study: Analyzing Customer Churn in Tableau

My Certifications

These are the industry credentials that I’ve earned.

Other Certificates

Microsoft Microsoft Certified: Azure Data Fundamentals

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Introduction to SQL
Understanding ChatGPT
Understanding Data Science

My Work Experience

Where I've interned and worked during my career.

Summan SAS | Dec 2022 - Present

Data Analyst

- Ensuring data quality through data cleaning and preprocessing. - Conducting Exploratory Data Analysis to validate source quality, understand variable ranges and detect potential problems. - Implementation of Data Quality optimization strategies: developing strategies to optimize data quality, improving and maintaining data accuracy and reliability. - Data modeling for predictive analytics solutions to support data-driven decision making. - Designing reports and dashboards for different industries, presenting data in a clear and meaningful way, with an effective narrative. - Development of Error Detection and User Experience improvement solutions. - Implementation of optimization processes based on heuristic approaches. - Implementation of Machine Learning models to create tools based on predictive analytics.
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About Me

Heidelyn Diaz

I am a customer-centric data analyst with a passion for tailored solutions and learning. I'm committed to driving innovative, data-driven outcomes. Interested in Data Visualization, Machine Learning, Deep Learning, and AI.

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