Profile Picture

Claudio Albornoz Flores

Mathematician & Pokémon Fan.

Experience

  1. Profile
  2. Education
    1. [ 2011 - 2016 ] Ingeniería Civil Matemática
  3. Jobs
    1. [ 2023.01 - Now ] Data Science Tech Lead
    2. [ 2018.06 - 2022.12 ] Data Scientist
    3. [ 2017.11 - 2018.05 ] Software Developer
    4. [ 2017.06 - 2017.10 ] Researcher
    5. [ 2016.09 - 2017.02 ] Research Internship
    6. [ 2013.03 - 2016.06 ] Class Assistant
    7. [ 2014.12 - 2015.02 ] Data Analyst
    8. [ 2014.09 - 2014.11 ] Data Analyst
  4. Skills
    1. Languages
    2. Programming Languages
    3. Cloud
      1. AWS
      2. GCP
      3. Azure
  5. Activities & Awards

Profile

Data Scientist with 5 years of experience performing machine learning models, software development, cloud computing and custom algorithms in order to face business problems correctly.

At university, I derived my efforts into parallel programming and its logic to optimize at max codes. And at work, those efforts and my maths skills finally converged into Data Science with Big Data.

As far as I have observed, the desire of self-improvement and the persistent intention of acquiring new knowledge are a must. In addition, I consider myself easy going, super proactive and absolutely collaborative because making the most of teamwork is the best approach for bringing projects to success.

Education

[ 2011 - 2016 ] Ingeniería Civil Matemática

Universidad de La Frontera.

  • Data Analysis

  • Mathematical Modeling.

  • Parallel Programming.

Jobs

[ 2023.01 - Now ] Data Science Tech Lead

*ClaroVTR

  • Overseeing tech aspects of data science projects.

  • Project management.

[ 2018.06 - 2022.12 ] Data Scientist

VTR - LLA - VTR

  • Building a Node Intervention Prioritization Model for VTR.

  • Building of Clustering Model to Quality of Experience Timeseries of Internet Network for VTR.

  • Building of Call-in Prediction Model for Cable & Wireless Panamá.

  • Building of Voluntary Churn Model for VTR.

  • Machine Learning End-to-End production to Involuntary Churn prediction for VTR.

  • Building of a framework to develop feature engineering & modeling based on PySpark for LLA.

  • RL project to generate the Next Best Offer for prepaid mobile to Cable & Wireless Panamá.

[ 2017.11 - 2018.05 ] Software Developer

Telefonica I+D Chile

Optimization and application of Spatial Geo-positioning algorithms and keyword extraction for inbound calls to identify customer issues.

[ 2017.06 - 2017.10 ] Researcher

Telefonica I+D Chile

Accuracy improvements for Spatial Geo-positioning algorithms incorporating GPS and Timing Advance.

[ 2016.09 - 2017.02 ] Research Internship

Telefonica I+D Chile

Spatial Geo-positioning algorithm design.

[ 2013.03 - 2016.06 ] Class Assistant

Universidad de La Frontera

  • C++ Programming and OpenMP for parallel algorithms.

  • Applied numerical methods.

[ 2014.12 - 2015.02 ] Data Analyst

SGS Minerals Services

Analysis of mineral grinding and froth flotation for optimizing test extraction.

[ 2014.09 - 2014.11 ] Data Analyst

Instituto de Informática Educativa - UFRO

Text pattern recognition over transcribed class records.

Skills

Languages

  • Native Spanish.

  • Intermediate English.

Programming Languages

Bash, Python, Scala, Spark, R, C++.

Cloud

AWS

Sagemaker, S3, EMR, EC2, Lambda, Step Functions, CodeCommit, Processing, Transcribe, SNS, DynamoDB.

GCP

Storage, Clusters Dataproc, BigQuery, AI Platform Notebooks.

Azure

HDInsight, Blob Storage.

Activities & Awards

[2021] High Performance Recognition Prize LLA.

[11/2020-Now] Member at Consejo de Carrera Ingeniería Civil Matemática UFRO.

[2019] Speaker at Konünwenu Workshop - Entrada al Cosmos, Temuco, Chile

[2019] Attendee at Spark Summit, San Francisco, EEUU.

[2016] Best Graduating Student Ingeniería Civil Matemática.

[2014] Contestant UFRO in ACM ICPC Latin America Programming Contest.

CC BY-SA 4.0 Claudio Albornoz Flores. Last modified: May 20, 2023. Website built with Franklin.jl and the Julia programming language.