AI, Data and No COde
& Developer



alemvangrieken@gmail.com
Madrid, Spain
In social I'm @dataconale
INTRODUCE
Hi 👋, I'm Ale,
software engineer
data engineer/scientist/
analyst and
AI enthusiast
Life is short, I use Python 🐍 and
No Code 👨💻



YEARS OF
EXPERIENCE
GPA in University
PROJECT COMPLETED ON
15 COUNTRIES
ABOUT
Short story
Every great design begin with an even better story
I am 26 years old and a data/software engineer with a background in computer
science. I am living in Madrid, Spain. I'm from Caracas, Venezuela.
I started as a data scientist and ended up as a data engineer and not a code developer.
Nowadays I see more necessary to have a good data cleansing, transformations and data warehouse and to be able to get fast mvps with flutterflow, streamlit and then do more complex things with artificial intelligence.
I really enjoy attending technology events. The last two I attended were the AWS server summit and the Google summit in Madrid.
I also often attend Python and no code talks. The last one caught my attention clickhouse would like to work with it.
I am currently learning no code framer and data mage, with an llm zoomcamp course I took the data zoomcamp course and learned the basics of data engendering.
Since beginning my journey as a freelance
designer nearly 8 years ago, I've done remote
work for agencies, consulted for startups, and
collaborated with talented people to create
digital products for both business and
consumer use. I'm quietly confident, naturally
curious, and perpetually working on improving
my chopsone design problem at a time.

My setup
Every great design begin with an even better story


Moonex Wordpress Theme


Education & Experience
2019
Software Engineer
In Venezuela I did not have the financial resources to study at a private university.
Thanks to a 100 percent cost scholarship I earned for my high school grades, I was able to study engineering at Metropolitan University. I graduated in 2019.
During my stay as a student I was a subject trainer for algorithms and programming and mathematics 1
2019
Software Engineer
In Venezuela I did not have the financial resources to study at a private university.
Thanks to a 100 percent cost scholarship I earned for my high school grades, I was able to study engineering at Metropolitan University. I graduated in 2019.
During my stay as a student I was a subject trainer for algorithms and programming and mathematics 1
2019
Software Engineer
In Venezuela I did not have the financial resources to study at a private university.
Thanks to a 100 percent cost scholarship I earned for my high school grades, I was able to study engineering at Metropolitan University. I graduated in 2019.
During my stay as a student I was a subject trainer for algorithms and programming and mathematics 1
2019
Software Engineer
In Venezuela I did not have the financial resources to study at a private university.
Thanks to a 100 percent cost scholarship I earned for my high school grades, I was able to study engineering at Metropolitan University. I graduated in 2019.
During my stay as a student I was a subject trainer for algorithms and programming and mathematics 1

Python

Python

Python

Tensorflow

Tensorflow

Tensorflow

Keras

Keras

Keras

Sklearn

Sklearn

Sklearn


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2018-2020
Vikua: Data Analyst and Data Scientst
Vikua
uilt a Data Warehouse in BigQuery, using Cloud Functions and Looker Studio for data visualization in GCP.
Developed predictive models (regression & classification) with sklearn and Keras using public transport data.
Analyzed KPIs with Google Analytics, Looker Studio, and BigQuery.
Created a chatbot with Google Dialogflow.
Generated reports in Power BI, Tableau, and Streamlit from PostgreSQL and Django queries.
Applied Agile methodologies (SCRUM, Jira, Confluence).
Prototyped mobile data apps products using Figma, Glide, and Flutterflow.
2018-2020
Vikua: Data Analyst and Data Scientst
Vikua
uilt a Data Warehouse in BigQuery, using Cloud Functions and Looker Studio for data visualization in GCP.
Developed predictive models (regression & classification) with sklearn and Keras using public transport data.
Analyzed KPIs with Google Analytics, Looker Studio, and BigQuery.
Created a chatbot with Google Dialogflow.
Generated reports in Power BI, Tableau, and Streamlit from PostgreSQL and Django queries.
Applied Agile methodologies (SCRUM, Jira, Confluence).
Prototyped mobile data apps products using Figma, Glide, and Flutterflow.
2018-2020
Vikua: Data Analyst and Data Scientst
Vikua
uilt a Data Warehouse in BigQuery, using Cloud Functions and Looker Studio for data visualization in GCP.
Developed predictive models (regression & classification) with sklearn and Keras using public transport data.
Analyzed KPIs with Google Analytics, Looker Studio, and BigQuery.
Created a chatbot with Google Dialogflow.
Generated reports in Power BI, Tableau, and Streamlit from PostgreSQL and Django queries.
Applied Agile methodologies (SCRUM, Jira, Confluence).
Prototyped mobile data apps products using Figma, Glide, and Flutterflow.
2018-2020
Vikua: Data Analyst and Data Scientst
Vikua
uilt a Data Warehouse in BigQuery, using Cloud Functions and Looker Studio for data visualization in GCP.
Developed predictive models (regression & classification) with sklearn and Keras using public transport data.
Analyzed KPIs with Google Analytics, Looker Studio, and BigQuery.
Created a chatbot with Google Dialogflow.
Generated reports in Power BI, Tableau, and Streamlit from PostgreSQL and Django queries.
Applied Agile methodologies (SCRUM, Jira, Confluence).
Prototyped mobile data apps products using Figma, Glide, and Flutterflow.

Python

Python

Python

Pandas

Pandas

Pandas

PostgreSQL

PostgreSQL

PostgreSQL

Tableau

Tableau

Tableau


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2020
Vikua: Product Manager and No Code Developer
After the pandemic, the startup needed to get products out fast and that's where we discovered and started prototyping from figma to flutterflow. We released urbot and civiko as apps. I use Jira, Confluence, Notion to documentation of all process.
2020
Vikua: Product Manager and No Code Developer
After the pandemic, the startup needed to get products out fast and that's where we discovered and started prototyping from figma to flutterflow. We released urbot and civiko as apps. I use Jira, Confluence, Notion to documentation of all process.
2020
Vikua: Product Manager and No Code Developer
After the pandemic, the startup needed to get products out fast and that's where we discovered and started prototyping from figma to flutterflow. We released urbot and civiko as apps. I use Jira, Confluence, Notion to documentation of all process.
2020
Vikua: Product Manager and No Code Developer
After the pandemic, the startup needed to get products out fast and that's where we discovered and started prototyping from figma to flutterflow. We released urbot and civiko as apps. I use Jira, Confluence, Notion to documentation of all process.

Figma

Figma

Figma

Notion

Notion

Notion

Flutterflow

Flutterflow

Flutterflow

Jira

Jira

Jira


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2020-2022
InnovativeGX: Python Backend Developer
Developed RESTful APIs using Flask and Django for various data-driven applications.
Worked with MySQL and MongoDB for efficient database management.
Built a backend for a genetics analysis company using Flask and Django, hosted on AWS, enabling secure and scalable data processing.
Integrated Snowflake for cross-referencing genetic data with other datasets in a data warehouse.
Automated PDF report generation by sending data to JasperServer.
Managed Linux servers for deployment and optimization.
Utilized Docker for containerization and scalable deployments.
2020-2022
InnovativeGX: Python Backend Developer
Developed RESTful APIs using Flask and Django for various data-driven applications.
Worked with MySQL and MongoDB for efficient database management.
Built a backend for a genetics analysis company using Flask and Django, hosted on AWS, enabling secure and scalable data processing.
Integrated Snowflake for cross-referencing genetic data with other datasets in a data warehouse.
Automated PDF report generation by sending data to JasperServer.
Managed Linux servers for deployment and optimization.
Utilized Docker for containerization and scalable deployments.
2020-2022
InnovativeGX: Python Backend Developer
Developed RESTful APIs using Flask and Django for various data-driven applications.
Worked with MySQL and MongoDB for efficient database management.
Built a backend for a genetics analysis company using Flask and Django, hosted on AWS, enabling secure and scalable data processing.
Integrated Snowflake for cross-referencing genetic data with other datasets in a data warehouse.
Automated PDF report generation by sending data to JasperServer.
Managed Linux servers for deployment and optimization.
Utilized Docker for containerization and scalable deployments.
2020-2022
InnovativeGX: Python Backend Developer
Developed RESTful APIs using Flask and Django for various data-driven applications.
Worked with MySQL and MongoDB for efficient database management.
Built a backend for a genetics analysis company using Flask and Django, hosted on AWS, enabling secure and scalable data processing.
Integrated Snowflake for cross-referencing genetic data with other datasets in a data warehouse.
Automated PDF report generation by sending data to JasperServer.
Managed Linux servers for deployment and optimization.
Utilized Docker for containerization and scalable deployments.

Python

Python

Python

Django

Django

Django

MongoDB

MongoDB

MongoDB
Flask
Flask
Flask


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2022
CultureLab: Freelance Course Instructor
Advance Python Course Instructor
BigQuery Course Instructor
Basic Python Course Instructor
Modern data Stack Course Instructor
2022
CultureLab: Freelance Course Instructor
Advance Python Course Instructor
BigQuery Course Instructor
Basic Python Course Instructor
Modern data Stack Course Instructor
2022
CultureLab: Freelance Course Instructor
Advance Python Course Instructor
BigQuery Course Instructor
Basic Python Course Instructor
Modern data Stack Course Instructor
2022
CultureLab: Freelance Course Instructor
Advance Python Course Instructor
BigQuery Course Instructor
Basic Python Course Instructor
Modern data Stack Course Instructor


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2023-2024
Crowdfarming: Data Quality Engineer
AI project for clustering user complaints using Generative AI (LLMs & OpenAI API).
Database reporting in PostgreSQL with Tableau & Streamlit.
Churn detection models in Python (sklearn, Keras, pandas, Streamlit).
MongoDB queries to ensure data consistency with the data warehouse.
AWS management: CloudWatch monitoring & SageMaker for data science notebooks.
Notion to apply SCRUM.
Connection with Salesforce and Google Analytics to get insights.
2023-2024
Crowdfarming: Data Quality Engineer
AI project for clustering user complaints using Generative AI (LLMs & OpenAI API).
Database reporting in PostgreSQL with Tableau & Streamlit.
Churn detection models in Python (sklearn, Keras, pandas, Streamlit).
MongoDB queries to ensure data consistency with the data warehouse.
AWS management: CloudWatch monitoring & SageMaker for data science notebooks.
Notion to apply SCRUM.
Connection with Salesforce and Google Analytics to get insights.
2023-2024
Crowdfarming: Data Quality Engineer
AI project for clustering user complaints using Generative AI (LLMs & OpenAI API).
Database reporting in PostgreSQL with Tableau & Streamlit.
Churn detection models in Python (sklearn, Keras, pandas, Streamlit).
MongoDB queries to ensure data consistency with the data warehouse.
AWS management: CloudWatch monitoring & SageMaker for data science notebooks.
Notion to apply SCRUM.
Connection with Salesforce and Google Analytics to get insights.
2023-2024
Crowdfarming: Data Quality Engineer
AI project for clustering user complaints using Generative AI (LLMs & OpenAI API).
Database reporting in PostgreSQL with Tableau & Streamlit.
Churn detection models in Python (sklearn, Keras, pandas, Streamlit).
MongoDB queries to ensure data consistency with the data warehouse.
AWS management: CloudWatch monitoring & SageMaker for data science notebooks.
Notion to apply SCRUM.
Connection with Salesforce and Google Analytics to get insights.

Python

Python

Python

dbt

dbt

dbt

snowflake

notion

snowflake

snowflake

bigquery

bigquery

bigquery
2024
Product Owner of INE (National Statistics Institute Spain)
Design customer feedback metrics and KPIs for the National Institute of Statistics.
Database architecture design in OracleDB and workflows with airflow and DBT.
Real-time data processing with Kafka.
Data transformation using Python and dbt (pyspark, pandas, numpy, streamlit, airflow, oracledb).
Define Airflow ETL workflow structure.
Migrate code from R to Python.
Gather requirements through client meetings.
Apply Agile methodologies using SCRUM (Jira, Confluence).
2024
Product Owner of INE (National Statistics Institute Spain)
Design customer feedback metrics and KPIs for the National Institute of Statistics.
Database architecture design in OracleDB and workflows with airflow and DBT.
Real-time data processing with Kafka.
Data transformation using Python and dbt (pyspark, pandas, numpy, streamlit, airflow, oracledb).
Define Airflow ETL workflow structure.
Migrate code from R to Python.
Gather requirements through client meetings.
Apply Agile methodologies using SCRUM (Jira, Confluence).
2024
Product Owner of INE (National Statistics Institute Spain)
Design customer feedback metrics and KPIs for the National Institute of Statistics.
Database architecture design in OracleDB and workflows with airflow and DBT.
Real-time data processing with Kafka.
Data transformation using Python and dbt (pyspark, pandas, numpy, streamlit, airflow, oracledb).
Define Airflow ETL workflow structure.
Migrate code from R to Python.
Gather requirements through client meetings.
Apply Agile methodologies using SCRUM (Jira, Confluence).
2024
Product Owner of INE (National Statistics Institute Spain)
Design customer feedback metrics and KPIs for the National Institute of Statistics.
Database architecture design in OracleDB and workflows with airflow and DBT.
Real-time data processing with Kafka.
Data transformation using Python and dbt (pyspark, pandas, numpy, streamlit, airflow, oracledb).
Define Airflow ETL workflow structure.
Migrate code from R to Python.
Gather requirements through client meetings.
Apply Agile methodologies using SCRUM (Jira, Confluence).

Python

Python

Python

dbt

Jira

dbt

dbt

snowflake

Airflow

snowflake

snowflake

bigquery

fimga

bigquery

bigquery
SERVICES
My Specializations
Scrum Certifications
Project Manager Certification of Fundamentals of SCRUM
Scrum Certifications
Project Manager Certification of Fundamentals of SCRUM
Scrum Certifications
Project Manager Certification of Fundamentals of SCRUM
Scrum Certifications
Project Manager Certification of Fundamentals of SCRUM
Development
I build website to go live with framer, Webflow or wordpress
Development
I build website to go live with framer, Webflow or wordpress
Development
I build website to go live with framer, Webflow or wordpress
Development
I build website to go live with framer, Webflow or wordpress
Artificial Intelligence
1. Deep Neuronal Networks 2. Convolutional Neuronal Networks 3. Natural Language Procesing
Artificial Intelligence
1. Deep Neuronal Networks 2. Convolutional Neuronal Networks 3. Natural Language Procesing
Artificial Intelligence
1. Deep Neuronal Networks 2. Convolutional Neuronal Networks 3. Natural Language Procesing
Artificial Intelligence
1. Deep Neuronal Networks 2. Convolutional Neuronal Networks 3. Natural Language Procesing
CONTACT
Let's Work Together!
alemvangrieken@gmail.com
Get Template ⚡️