Dalton Zurita
Verified Expert in Engineering
Data Scientist and Developer
Dalton is a data scientist with five years of experience. He is proficient in data processing, predictive modeling, and data visualization to solve challenging business problems. Dalton has developed different machine learning models, such as churn prediction, sales forecasting, and topic identification. He is keen on acquiring new skills quickly and offering the best solutions.
Portfolio
Experience
Availability
Preferred Environment
MacOS, Windows, Jupyter Notebook
The most amazing...
...thing I've developed is a customer churn prediction model to help the company retain its customers and prevent them from joining the competition.
Work Experience
Data Engineer
StratPlus
- Wrote Spark code to process, clean, and transform data using Azure Databricks.
- Optimized and managed Spark jobs to improve performance and reduce costs.
- Utilized Power BI desktop to design interactive reports.
Data Scientist
Claro Ecuador
- Developed a customer churn prediction model to predict which customers are more likely to abandon the company and go to the competition. The model helped the company save money by retaining its customers with marketing actions.
- Created a sales forecast model to predict the company's and the competition's future sales. I used techniques like SARIMAX and machine learning models.
- Created ETLs to extract, transform, and load data to have the data cleaned in different databases. This information was ready to be used in dashboards and machine learning models.
- Built dashboards to create insights for the company using business intelligence tools like Tableau. The dashboards were utilized to create important KPIs for data monitoring.
Business Intelligence Analyst
IASA Caterpillar
- Developed dashboards to create KPIs for different company departments using Power BI.
- Created ETLs to extract, transform, and load data in order to have the data cleaned in different databases. This information was ready to be used in dashboards and machine learning models.
- Built a sales forecast model to predict the company sales and trends in the market share.
Business Intelligence Intern
Claro Ecuador
- Built dashboards with business intelligence tools for the commercial team with insights into the sales database.
- Developed ETLs to extract data from different data sources.
- Created a customer clustering algorithm to identify customers based on their characteristics.
Business Intelligence Intern
Banco Amazonas
- Built dashboards using Power BI with customer and sales data to present them to stakeholders.
- Generated reports using SQL to query the databases.
- Developed ETLs to have the data ready to use for the different dashboards.
Experience
Twitter Topic Classification
Dashboard with Geospatial Data
Customer Clustering Dashboard
Skills
Languages
Python, SQL, Python 3, Stored Procedure, Snowflake, R
Frameworks
Spark
Libraries/APIs
Pandas, NumPy, TensorFlow, PyTorch, PySpark
Tools
Tableau, Microsoft Power BI, Jupyter, Microsoft Excel, Cron, Apache Airflow, Amazon QuickSight, GitHub, Amazon SageMaker, Looker, BigQuery
Paradigms
Data Science, ETL, Business Intelligence (BI), Requirements Analysis
Platforms
Jupyter Notebook, MacOS, Windows, Databricks, Amazon Web Services (AWS), Azure, Azure Synapse, Google Cloud Platform (GCP), Azure Service Fabric
Storage
PostgreSQL, Data Pipelines, SQL Stored Procedures, SQL Server Integration Services (SSIS), Microsoft SQL Server, MySQL, Google Cloud
Other
Machine Learning, Deep Learning, Data Analysis, Big Data, Natural Language Processing (NLP), Predictive Modeling, Data Analytics, Regression Modeling, Statistics, Dashboards, Data Visualization, Linear Regression, DAX, Analytics, Business Analysis, Data Engineering, Reports, Forecasting, Sales Forecasting, Azure Databricks, Predictive Analytics, Algorithms, XML for Analysis (XMLA), API Integration, Dashboard Design, Web Analytics, BI Reports, Neural Networks, Data Cleansing, Datasets, ETL Tools, Data Build Tool (dbt), Data, Fivetran, Microsoft Azure, Time Series, Financial Modeling, Time Series Analysis, Diffusion Models, Variational Autoencoders, MLM, Data Reporting, Finance, Azure Data Factory, Google Data Studio, Vertex, Artificial Intelligence (AI), Consulting, GPT, Generative Pre-trained Transformers (GPT), Azure Data Lake
Education
Master's Degree in Artificial Intelligence, Big Data, and Visual Analytics
International University of La Rioja - La Rioja, Spain
Certifications
Google Cloud Professional Machine Learning Engineer
Google Cloud
AWS Machine Learning Specialty
Amazon Web Services
Power BI Data Analyst Associate
Microsoft
Data Science and Big Data: Data-driven Decisions
MIT xPRO
IBM Data Science Specialization
IBM
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