Ian K.
Data Scientist

Skills

Airflow

Looker

Sql

Github

Python

Postgresql

Mysql

Microsoft Azure

Google Cloud

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Bio

Experienced Data Analyst with a record of success in Martech, Product Analytics, Customer Analytics, and Data Product Development. Demonstrated ability to deliver high-quality data solutions within both startup environments and established enterprises in LATAM and Europe. Proficient in the Python ecosystem, including FastAPI, Pandas, seaborn, flask, streamlit, Matplotlib, Scikit-learn, and Keras. Adept at developing data products using cloud technologies such as Azure Data Factory, AWS Redshift & Glue, and GCP Dataproc & Big Query. Skilled in data orchestration and transformations with tools like DBT, Great Expectations, and Apache Airflow, alongside experience in CI/CD environments with GitHub, GitLab, Confluence, and Jira.

Proven expertise in programming, refactoring, and debugging. Experienced in working remotely within agile teams, possessing a proactive attitude and strong teamwork capabilities. Dedicated to designing data products that are high in quality, scalable, and impactful. Self-taught and curious, with a history of contributing to the transformation and growth of startups while generating value in larger companies.

An avid long-range cyclist, exploring the synergy between technology and cycling, and a gaming enthusiast, particularly interested in immersive gaming experiences.

Content Data Analyst
4/1/2024 - Present

Developed and implemented content strategies for optimizing transportation routes for distribution, ensuring efficient and effective delivery systems. Monitored content quality for commercialized routes, maintaining high standards across all distribution channels.
Marketing Data Analyst
10/1/2022 - 4/1/2024

Developed expertise in building and optimizing attribution models, conducting marketing segmentation, and evaluating incrementality metrics for a global luxury fashion e-commerce platform. Designed and executed various tests for high-profile brands such as Dolce & Gabbana, Prada, and Chanel, which led to substantial financial investments exceeding 1 million US$.
Azure Data Engineer
5/1/2022 - 10/1/2022

Oversaw backend and ETL data flows within the Azure platform for international projects. Developed proficiency in Python, Azure services, and SQL. Enhanced technical capabilities by implementing efficient data processing pipelines and optimizing backend operations to support diverse project requirements across multiple geographies. This role demanded a deep understanding of Azure's data infrastructure, allowing the efficient handling and transformation of large datasets.
Data Engineer/Solutions Analyst
5/1/2021 - 5/1/2022

Developed data-based products and tools to meet the various demands of clients in the banking and insurance sectors. Specialized in creating data pipelines and ETL processes using AWS and Azure. Created algorithms and dashboards to enhance the usability of developing products.
Technology Project Analyst
2/2/2019 - 5/1/2021

Demonstrated expertise in project analysis, with an emphasis on database management using PostgreSQL and MySQL. Developed and implemented scripts for task automation leveraging Python. Conducted thorough analysis of patterns and behaviors within both internal and external systems utilizing Python. Successfully created and deployed dashboards in PowerBI, integrated with Cloud Data Warehousing solutions on AWS Redshift.