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 👨‍💻

0+

YEARS OF

EXPERIENCE

0+

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

Moonex Wordpress Theme

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

Moonex Wordpress Theme

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

Moonex Wordpress Theme

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

Moonex Wordpress Theme

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

Moonex Wordpress Theme

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 ⚡️