SOFÍA ESPAÑA
Data Scientist
Guayaquil,G
Summary
Data Scientist familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in Machine Learning and Deep learning. Accomplished in compiling, transforming and analyzing complex information through software. Expert in large dataset management. Demonstrated success in identifying relationships and building solutions to business problems.
Overview
2
2
years of professional experience
2
2
Certifications
Work History
DATA SCIENTIST
XTRIM
4 2024 - Current
- Created +40 visualization for dashboards in Data bricks for monitoring collection procedures and customer profiling
- Development of customer segmentation models to improve collection management and creation of target audiences for campaigns and promotions
- Analysis of the reactivity of cut-offs for decision making and campaign effectiveness by applying unsupervised learning techniques
- Increased collection efficiency to 97.4%
- Use of NLP for CHURN analysis of calls and tickets entered by customers in CRM
MACHINE LEARNING REASERCHER
ESPOL
03.2022 - Current
- Fault prediction in wind turbines using Transformer Neural Networks Improve by 80% early detection with a warning up to 3 months prior to the occurrence of failure
- Analysis of red flags from SERCOP data using unsupervised learning to determine anomalous behaviors in public procurement and their possible origins
- With an accuracy of more than 70% in the formation of clusters that allow the correct segmentation of the types of contracts
- Grip Points generation on Wire harness based on computer vision and clustering
- This allows 95% accuracy in robot tracking, speeding up the assembly process to 9.8s
CYBERSECURITY ENGINEER - PENTESTER
TELCONET
10.2022 - 04.2024
- Collect relevant information about the target to simulate a real-world attack scenario
- Collection of public and filtered customer information to perform a customer fingerprinting
- Employ ethical hacking techniques to gain unauthorized access, escalate privileges
- To detect weaknesses and provide solutions to strengthen information security
- Development of a system of traps (Honey Pots) that ensure early detection of insects by generating alerts and constant monitoring of sensitive systems.
Full Stack Developer
ESPOL
09.2023 - 12.2023
- Reviewed code, debugged problems, and corrected issues.
- Developed functional databases, applications and servers to support websites on back-end.
- Integrated third-party APIs to enhance functionality and improve overall user experience on web platforms.
- Reduced page load times by optimizing front-end assets such as JavaScript files, stylesheets, and images.
- Used NodeJS, ORM and SQL/No-SQL to develop and manage databases.
- Collaborated with cross-functional teams to design, develop, and launch new features for web applications.
- Participated in client meetings and presentations to provide technical expertise and guidance during project planning stages.
Education
BACHELOR OF SCIENCE - MECHATRONICS ENGINEERING -
Escuela Superior Politécnica del Litoral
Guayaquil, GuayasDIPLOMATE – FULL STACK WEB DEVELOPER - undefined
Coding Bootcamps ESPOL
Skills
Python (Pandas, Tensorflow, Pytorch)
SQL Databases
Databricks
AWS (EC2, S3, Glue, Lambda, SageMaker)
Statistical Analysis
Data Analysis
Data Visualization
Image Processing
Advance Excel
Feature Engineering
Machine Learning
Full Stack Web Developer
Cybersecurity
Linux
Neural Networks
PySpark
Azure Cloud
Anomaly Detection
Data science research methods
Certification
Certify Ethical Hacker (CEH)
Portfolio
github.com/sofia604, linkedin.com/in/sofia604/
Languages
Spanish
Proficient
C2
English
Advanced
C1
French
Intermediate
B1
Publications
- Grip points generation on motorcycle wire harnesses main branch based on computer vision and clustering. International Conference on Automation, Robotics, and Applications. 2024.
- Wind Turbine Early Fault Detection Based on a Transformer Neural Network Model. Wind Energy Science Conference. 2023
Accomplishments
- Achieved an increase to a 98% by introducing unsupervised learning for collections process.
- Achieved wind turbine failure prediction through effectively implement a forecasting transformer model.
- Collaborated with team of five in the development of app mobile for students.
Affiliations
- Institute of Electrical and Electronics Engineers
Timeline
Full Stack Developer
ESPOL
09.2023 - 12.2023
CYBERSECURITY ENGINEER - PENTESTER
TELCONET
10.2022 - 04.2024
MACHINE LEARNING REASERCHER
ESPOL
03.2022 - Current
DATA SCIENTIST
XTRIM
4 2024 - Current
BACHELOR OF SCIENCE - MECHATRONICS ENGINEERING -
Escuela Superior Politécnica del Litoral
DIPLOMATE – FULL STACK WEB DEVELOPER - undefined
Coding Bootcamps ESPOL