Data Science Consultant · AI & MLOps · Cloud Data Engineering
📧 Email • 💼 LinkedIn • 🐙 GitHub
- I help teams move from spreadsheets & chaos to automated data products.
- I work end-to-end: ingestion → cleaning → modeling (ML/LLM) → dashboards → MLOps.
- Experience across marketing, finance, transport, insurance, telecom & public sector.
- I enjoy building LLM/RAG assistants, ETL/ELT pipelines and analytics for decision-makers.
- Based in Bogotá, Colombia · English: B1–B2 (improving every day 🚀).
- LLMs, ChatBots & RAG
- Text embeddings & NLP (sentiment, topic modeling)
- AI governance & ethical AI
- MLOps for deploying and monitoring models
- Cloud Data Engineering with GCP & Databricks (Delta, MLflow, ETL/ELT).
- LLM/RAG agents to search internal knowledge (PDFs, documents, logs).
- Marketing & financial analytics to optimize campaigns and portfolios.
- Building reusable templates for data migration, dashboards & AI experiments.
Some recent / ongoing cloud & AI learning:
- Google Cloud – Core Infrastructure, Kubernetes, AlloyDB & Data Engineer preparation.
- Specialization in Artificial Intelligence and Data Science Engineering (in progress).
- Bayesian statistics & quantitative finance with Python.
Here are a few repos that represent the kind of work I like to do:
- 🔹 data_for_databrikcs – Public datasets ready to use on Databricks for ML and analytics experiments.
- 🔹 Data_science_aplicada_reto_twitter – Data Science practice solving a Twitter/football challenge.
- 🔹 mixed-analytics-for-data-Science – Collection of notebooks exploring diverse datasets for DS practice.
- 🔹 Proyectos_Freelance_DataScience- – Real freelance Data Science projects for LATAM clients.
- 🔹 Pruebas_Tecnicas_DS – Technical tests for Data Science roles.
🔍 I also keep several private repos with production code for ETL, migrations (80TB+), LLM/RAG and analytics dashboards.
Click to see more about my experience
- Led large-scale data migrations (80TB+ unstructured data) from on-premise to cloud.
- Designed end-to-end ML solutions: from data ingestion to predictive models in production.
- Built RAG assistants and chatbots to search long documents, legal texts and support teams.
- Created interactive BI dashboards for finance, marketing, public sector and transport.
- Worked closely with stakeholders, managers and non-technical teams to translate business needs into data products.
- Build an analytics or AI MVP for your business.
- Design and implement data migration + monitoring for legacy systems.
- Develop ML/LLM prototypes that solve specific business problems.
- Review, refactor or extend existing Python / SQL / Databricks projects.
If you have an idea that mixes data, AI and business impact, ping me on
📧 nicolasfajardodaza@gmail.com or LinkedIn.