Data-Driven Machines Analytical ML Systems

About Me

I am a Data Scientist and Mechanical Engineer currently pursuing a Master’s degree in Advanced Precision Engineering at Hochschule Furtwangen University, Germany. Alongside my studies, I work at Bosch Rexroth, developing Docker-based ETL pipelines and real-time monitoring systems for hydraulic equipment.

I graduated top of my class in Mechanical Engineering at Universidad Nacional de San Agustín de Arequipa (UNSA). I was awarded the Beca Presidente del Perú and later selected among 16,000 applicants for one of 100 positions at Freeport-McMoRan, where I applied Machine Learning for predictive maintenance in global mining operations.

My work bridges engineering and intelligent systems, with a strong emphasis on practical implementation and scalable solutions. I specialize in:

  • Machine Learning & Time-Series Modeling
    Predictive maintenance, anomaly detection, and signal analysis using Python, PyTorch, and scikit-learn.

  • Dockerized ETL Pipelines & Cloud Integration
    Modular, real-time data pipelines built with Dagster, orchestrated in Docker, and deployed on cloud platforms like Azure.

  • Industrial Communication & Monitoring (OPC UA)
    Design and implementation of robust monitoring architectures using OPC UA for data acquisition in manufacturing systems.

  • Technology Stack
    Python, PostgreSQL, Power BI, Git, Azure ML — integrated into reliable and reproducible workflows.

I aim to pursue a Ph.D. in Robotics, Control Systems, or Industrial AI, developing impactful technologies that bridge data and physical systems.

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Interests
  • Smart Systems for Industrial Engineering and Robotics
  • Technical Software Architecture & Data Automation for Industry 4.0
  • Fusion of Data Science with Physical Modeling
Education

  • M.Sc. in Advanced Precision Engineering

    Hochschule Furtwangen

  • Diplom in Machine and deep Learning

    Universidad catolica san pablo

  • B.Sc. in Mechanical Engineering

    Universidad Nacional de San Agustin de Arequipa

Professional Journey
2024-Present | Data Scientist Werkstudent - Bosch Rexroth (Ulm, Germany)
  • Industrial ETL Architecture: Built Dockerized pipelines of hydraulic system data into Data Lake + PostgreSQL with 99.8% uptime
  • Real-time Monitoring: Developed anomaly detection for hydraulic components using Solace message queues (100ms latency)
  • Predictive Maintenance: Deployed PyTorch models analyzing operational cycles monthly
2021-2023 | Data Science Lead - Freeport-McMoRan (Global Mining Operations)
Presidential Award - July 2022
Recognized for developing predictive wear models for primary crushers ("chancadoras primarias") that reduced maintenance costs by $1.2M/year across 6 mines
  • Global ML Scaling: Productionized Azure ML Jobs serving daily predictions for 200+ heavy assets (crushers, HPGRs, ball mills)
  • Data Infrastructure: Optimized SQL Stored Procedures reducing ML training data prep time from 8h → 22min
  • Continuous Learning: Implemented automated retraining pipelines using 5 years of historical operational data
  • Decision Intelligence: Created Power BI dashboards monitoring 35+ KPIs for maintenance planning
2015-2021 | Engineering Foundations (Perú)
  • IMCO Servicios (2018-2021): Concurrent internships during undergraduate studies:
    • Finite element analysis for mining structures (SAP2000/Inventor/Ansys fluent-Structural)
    • CFD simulations improving processing plant efficiency by 12%
  • Academic Excellence: Top-ranked mechanical engineering graduate (UNSA, 2019)
Academic Milestones
  • M.Sc. Advanced Precision Engineering (HFU, 2024-present)
  • Postgrad. Machine Learning (UCSP, 2021-2022)
  • B.Eng. Mechanical Engineering (UNSA, 2015-2019) with parallel industry training
Featured Publications
Symbolic and Dynamic Modeling of a 5-DoF SCARA Robot for Loco-Manipulation Analysis
Künstliche Intelligenz in der Präzisionsmesstechnik
Design of a 350 TPH Copper Concentrate Feeding Conveyor Belt with Automated Hydraulic Tensioning System and Receiving Hopper

Experience

  1. Data Scientist – Werkstudent

    Bosch Rexroth
    • Designed and implemented an ETL pipeline in Docker for processing and storing industrial data in a data lake and relational database.
    • Integrated Solace as a message broker to optimize industrial data flow.
    • Developed a monitoring system for hydraulic systems to detect anomalies and analyze operating cycles.

  2. Junior Data Science Analyst 2

    Freeport-McMoRan – Cerro Verde
    • Scaled predictive wear models across global mining sites using Azure ML Jobs for automated predictions.
    • Optimized data preprocessing using SQL stored procedures for efficient ML training.
    • Deployed retraining automation processes to continuously update models with historical machine data.

  3. Junior Data Science Analyst 1

    Freeport-McMoRan – Cerro Verde
    • Deployed ML models for daily wear prediction of primary crushers and cyclone pumps using Azure ML.
    • Automated reporting systems to compare current machine states with historical performance data.

  4. Junior Data Analyst 1 – Reliability Engineering

    Freeport-McMoRan – Cerro Verde
    • Developed machine anomaly strategies based on historical failure analysis.
    • Created Power BI dashboards and reports for monitoring and decision-making.
    • Optimized SQL queries for faster data processing in maintenance analytics.

  5. Trainee Data Analyst – Reliability Engineering

    Freeport-McMoRan – Cerro Verde
    • Performed long-term analysis of equipment availability and operational patterns.
    • Focused on primary crushers, conveyors, cyclone pumps, ball mills, and HPGR systems.

  6. Junior Engineer – Technical and Development

    IMCO Servicios S.A.C
    • Created structural calculation reports using simulation software like SAP2000, Inventor, Ansys Structural - Fluent and AutoCAD 3D.

  7. Intern – Reliability Engineering

    Freeport-McMoRan – Cerro Verde
    • Optimized production processes using multiphysics CFD simulations with tools such as Ansys Structural, Fluent, Tekla, and Ametank.

Education

  1. M.Sc. in Advanced Precision Engineering

    Hochschule Furtwangen
    Master of science.

  2. Diplom in Machine and deep Learning

    Universidad catolica san pablo
    GPA: 19.6/20.0

  3. B.Sc. in Mechanical Engineering

    Universidad Nacional de San Agustin de Arequipa

    GPA: 15.23/20.0

    National Scholarship “Beca Presidente del Peru” Winner, ranking the first in the department for five consecutive years.

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