Nicolás Robayo Pardo
Profile
Data Analytics Engineer with 5+ years of experience designing cloud data platforms, ML-powered automation, and end-to-end BI solutions across finance, insurance, and risk management. Driven by turning fragmented data into scalable analytics platforms that enable executive decision-making, replacing manual processes with production pipelines and intelligent automation that deliver measurable business outcomes.
Experience
LifeOne – Central America Warranty & Assistance Company
Remote
Head of Data & Analytics
May 2025 – Present
- Architected the company's cloud analytics infrastructure from scratch using AWS RDS, S3, DuckDB, Python, SQL, and Docker, deploying a Power BI Embedded platform with 10+ production dashboards serving 70+ users across 5 business units.
- Designed and automated 15+ ETL/ELT pipelines orchestrated with Prefect, processing diverse data sources including SQL databases, REST APIs, and JSON/XML feeds, eliminating 2 FTE of manual reporting effort.
- Engineered a production AI/ML solution for claims automation using NLP-based intelligent agents, reducing resolution time by 70% and achieving 100% bot-handled processing without quality loss.
- Partnered directly with C-suite to define enterprise data strategy, KPIs, and governance frameworks; led a team of 2 data engineers and managed data integration partnerships with major retail clients.
- Data Engineering
- AI/ML
- Power BI
- ETL/ELT
Colombia Counterparty Clearing House (CRCC)
Bogotá, Colombia
Data Scientist – Risk & Methodologies
May 2022 – May 2025
- Designed and implemented a star schema data warehouse consolidating risk and market data for regulatory and internal reporting, with automated risk-management models and executive dashboards that streamlined back-testing workflows.
- Built interactive Shiny applications enabling stakeholders to visualize risk exposures, pricing dynamics, and regulatory metrics in real time, eliminating 4 FTE of manual evaluation and reporting.
- Deployed AI-powered customer service chatbots using Retrieval-Augmented Generation (RAG) techniques, improving response accuracy and significantly reducing support team workload.
- Data Warehousing
- AI
- NLP
- Risk Management
Banco de Bogotá
Bogotá, Colombia
Data Scientist
Aug 2021 – Apr 2022
- Developed a predictive ML credit-scoring model combining credit bureau and payroll data sources, optimizing approval thresholds to expand the bank's approved customer base while maintaining portfolio quality standards.
- Machine Learning
- Credit Scoring
Intel Corporation
Bogotá, Colombia
Americas Strategy & Insights Intern
Jan 2020 – Jul 2020
- Designed and launched a cloud-based sales analytics dashboard for regional leadership, transforming data-driven decision-making across the Americas division.
- Recognized with the Quality Award and One Intel Award.
- Analytics
- Cloud Solutions
Education
M.Sc. Industrial Engineering
Universidad de Los Andes, Bogotá, Colombia
Jan 2021 – Dec 2022
GPA: 4.84/5.0 (cum laude). Coursework: Machine Learning, Advanced Optimization, Time Series Analysis, Flow Networks, Heuristics.
B.Sc. Industrial Engineering, Minor in Global Studies
Universidad de Los Andes, Bogotá, Colombia
Aug 2016 – Dec 2020
GPA: 4.53/5.0 (cum laude).
Skills
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Data Engineering
- Python
- SQL
- Snowflake
- Prefect
- Apache Airflow
- DuckDB
- Spark
- APIs
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Cloud & DevOps
- AWS (RDS, S3, Glue, Lambda, ECS)
- GCP
- Docker
- Jenkins
- CI/CD
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BI & Modeling
- Power BI (DAX, M, Embedded)
- Shiny
- Star Schema
- Dimensional Modeling
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ML & AI
- NLP
- RAG
- Scikit-learn
- Predictive Modeling
- Statistical Analysis
- R
Languages
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SpanishNative
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EnglishC2
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FrenchB1
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GermanB1
Diplomas
- IBM Data Engineering Professional Certificate
Interests
- Global Politics
- Cooking
- Public Transpo.
- Paragliding
- Electronic music