I'm Miguel Iglesias Estévez, a Data Scientist and Data Analyst with 3+ years of experience in high-tech companies, machine learning, and cloud technologies. I specialize in the development, optimization, and fine-tuning of ML models (Scikit-Learn) and the creation of visuals and dashboards with Tableau, Looker, and Power BI. I have strong expertise in machine learning, deep learning, models, and data extraction (SQL), including cloud environments (GCP). I’m skilled at bridging the gap between business and technology, with a proven ability to manage stakeholders at all levels and translate complex ideas into clear, actionable explanations. In my roles, I’ve led KPI and dashboard initiatives, redesigned targeting strategies using CRM data, and implemented remote collaboration tools across regions to improve efficiency and outcomes.

Miguel Iglesias Estévez

I'm Miguel Iglesias Estévez, a Data Scientist and Data Analyst with 3+ years of experience in high-tech companies, machine learning, and cloud technologies. I specialize in the development, optimization, and fine-tuning of ML models (Scikit-Learn) and the creation of visuals and dashboards with Tableau, Looker, and Power BI. I have strong expertise in machine learning, deep learning, models, and data extraction (SQL), including cloud environments (GCP). I’m skilled at bridging the gap between business and technology, with a proven ability to manage stakeholders at all levels and translate complex ideas into clear, actionable explanations. In my roles, I’ve led KPI and dashboard initiatives, redesigned targeting strategies using CRM data, and implemented remote collaboration tools across regions to improve efficiency and outcomes.

Available to hire

I’m Miguel Iglesias Estévez, a Data Scientist and Data Analyst with 3+ years of experience in high-tech companies, machine learning, and cloud technologies. I specialize in the development, optimization, and fine-tuning of ML models (Scikit-Learn) and the creation of visuals and dashboards with Tableau, Looker, and Power BI. I have strong expertise in machine learning, deep learning, models, and data extraction (SQL), including cloud environments (GCP).

I’m skilled at bridging the gap between business and technology, with a proven ability to manage stakeholders at all levels and translate complex ideas into clear, actionable explanations. In my roles, I’ve led KPI and dashboard initiatives, redesigned targeting strategies using CRM data, and implemented remote collaboration tools across regions to improve efficiency and outcomes.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Language

Galician
Fluent
Spanish; Castilian
Fluent
English
Fluent
Portuguese
Fluent
French
Advanced

Work Experience

Data Analyst at DISTRIBUSION TECHNOLOGIES
August 1, 2024 - August 1, 2025
Identified and solved critical product (API) issues using SQL (Big Query), Python and BI tools (Looker). Automated reports and data extraction using Python and Pandas, enhancing data accessibility and efficiency. Developed data-based initiatives to optimize business strategies and reduced error rating up to 50%. Managed stakeholders and clients to communicate projects and technical details, ensuring alignment and understanding across teams.
Data Analyst at BOSTON SCIENTIFIC
October 1, 2022 - October 1, 2023
Led the development of KPIs and dashboards using Tableau, enhancing data visibility for stakeholders. Redesigned the targeting strategy by analyzing CRM data, improving customer engagement and sales efficiency. Managed remote activities and stakeholder relationships in the Urology and Neuromodulation divisions, ensuring seamless operations. Implemented the remote tool Help Lightning across the EMEA region, saving up to 6 million dollars.
Data Scientist | Data Analyst at BOSTON SCIENTIFIC
October 1, 2021 - October 1, 2022
Created the company's Global PIM (Product Information Management) by analyzing and merging several databases using MS SQL, improving data accessibility and management. Contributed to the creation of an image detection algorithm for automating kidney stone removal procedures using annotation tools V7 Darwin, Roboflow, and YOLO7 in Python, enhancing surgical precision. Assisted in developing an NBA (Next Best Action) model to optimize marketing procedures using Keras and TensorFlow, leading to more targeted marketing strategies. Conducted a comprehensive analysis of the company's educational website traffic and developed machine learning models using Scikit-Learn to describe user behavior, aiding in user engagement strategies.
Accounting Administrator at CARNICAS M.BOO
April 1, 2018 - August 1, 2018
Managed the company's accounting processes using Agile methodologies, ensuring accurate financial records and compliance with regulations. Managed customer and provider relationships, improving communication and ensuring timely resolution of issues using JIRA.

Education

Master of Science, Empirical Applied Policies (Data Science & Economics) at UPV/EHU
January 1, 2020 - December 31, 2021
Bachelor of Arts, Business and Administration at UVigo
January 1, 2015 - December 31, 2018

Qualifications

SixWeeksSQL
January 11, 2030 - December 26, 2025
Getting and Cleaning Data with R
January 11, 2030 - December 26, 2025
R Programming
January 11, 2030 - December 26, 2025
The Data Scientist's Toolbox
January 11, 2030 - December 26, 2025
Chat GPT for professionals
January 11, 2030 - December 26, 2025

Industry Experience

Healthcare, Manufacturing, Professional Services, Life Sciences, Software & Internet