Nicolás Ignacio Salgado Valenzuela
PICHILEMU PICHILEMU
Summary
Meticulous Data Scientist accomplished in compiling, transforming, and analyzing complex information through software. Expert in machine learning, large dataset management, and mathematical modeling. Demonstrated success in identifying patterns and building data-driven solutions to business problems. Experienced in optimization techniques, from linear programming to heuristic approaches, enabling efficient resource allocation and process improvements.
Proficient in designing and deploying LLM-based solutions and intelligent agents, integrating modern frameworks like LangGraph and Retrieval-Augmented Generation (RAG) pipelines. Strong track record in leading AI and analytics projects, coordinating cross-functional teams, and maintaining productive relationships with stakeholders and clients. Adept at translating business needs into technical strategies that drive measurable impact.
Overview
7
7
years of professional experience
Work History
Project Owner AA
Biwiser
06.2022 - Current
- Led advanced analytics projects, managing tasks from business agreement stages to coding and direct interaction with project key users.
- Fostered strong relationships with clients to boost retention rates, conducting regular feedback sessions.
- Evaluated model performance using appropriate metrics such as precision, recall, F1-score, and ROC-AUC curve analysis.
- Utilized various statistical methods to analyze large datasets, generating valuable insights for stakeholders.
- Assisted in the development of a recommendation system that increased user engagement on a company website.
- Created data visualization graphics, translating complex data sets into comprehensive visual representations.
AI/ML Developer
Biwiser
08.2022 - Current
- Assisted in creating natural language processing (NLP) models for sentiment analysis, leveraging labeled datasets to extract insights from complex textual data.
- Developed custom Python scripts for data cleaning, tokenization, and transformation, improving the efficiency and reproducibility of NLP pipelines.
- Assisted in designing and testing an AI-powered chatbot, leading to enhanced user experience and a measurable increase in customer satisfaction.
- Built and deployed LLM-based applications (using models like GPT and open-source variants) for tasks including summarization, Q&A, and conversational agents.
- Integrated LangGraph to orchestrate complex multi-step agent workflows, enabling memory-aware and tool-augmented AI agents with improved task tracking.
- Created modular prompt engineering templates to optimize LLM behavior across multiple use cases (chatbots, retrieval-augmented generation, document analysis).
- Deployed LLM applications via Streamlit, FastAPI, and Docker, enabling seamless web-based interfaces and scalable backends.
- Applied vector databases (e.g., FAISS, ChromaDB) and embedding models for RAG (Retrieval-Augmented Generation), improving chatbot contextual awareness.
- Designed LLM evaluation and testing pipelines, using user feedback and automatic scoring to iteratively improve system performance.
Junior Data Scient
Biwiser
10.2021 - 06.2022
- Participated in various advanced analytics projects focused on forecasting, classification, image detection, and optimization of operational processes across different industries, all using Python.
- Advised business units on how best to harness available data sources and analytical methodologies for strategic decision making.
- Leveraged natural language processing techniques for sentiment analysis on customer feedback data, identifying areas of improvement in products or services offered.
- Streamlined data processing pipelines for faster results and improved efficiency in data analysis tasks.
- Evaluated model performance using various metrics such as accuracy, precision, recall, and F1 score to ensure optimal results.
- Conducted statistical analyses to identify trends, relationships, and anomalies in large datasets.
- Managed cloud infrastructure resources on platforms like AWS or GCP for secure storage and easy access of large datasets used in analyses.
Python Instructor
Biwiser Academy
03.2023 - 12.2024
- Instructor of the introductory Python course focused on data scientist roles, aiming to build a foundation in Python for subsequent machine learning courses. Course duration: 5 weeks.
Practical Project
Chilean Ministry of Health (MINSAL)
03.2020 - 07.2020
- Develop predictive models to optimize bed management through database analysis and simulation for the Metropolitan Health Service North healthcare network.
- Proven ability to learn quickly and adapt to new situations.
- Implemented optimization algorithms to identify cost-effective solutions for complex engineering problems.
Professional Internship
Softys
12.2019 - 02.2020
- Developed programs with graphical interfaces for data collection to standardize and automate data analysis. Supported the implementation of workshops and personnel management.
- Supported staff members in their daily tasks, reducing workload burden and allowing for increased focus on higher-priority assignments.
- Gained valuable experience working within a specific industry, applying learned concepts directly into relevant work situations.
Practical Project
BrainFood
08.2018 - 12.2018
- Designed a modeling, correlation, and prediction project in fast food chains for inventory management optimization.
Education
Diploma in Mathematical Engineering - Uncertainty Quantification, Optimization Fundamentals
Pontificia Universidad Católica De Chile
Santiago, Chile01.2021
Teaching Assistant - Optimization Honors Course
Pontificia Universidad Católica de Chile
07.2018
Skills
- Customer relations
- Problem-solving abilities and critical thinking
- Excellent communication
- Statistical analysis
- Cloud computing
- Machine learning
- Cloud Management
- Data warehousing
- Python
- Git proficiency
- Docker
Timeline
Python Instructor
Biwiser Academy
03.2023 - 12.2024
AI/ML Developer
Biwiser
08.2022 - Current
Project Owner AA
Biwiser
06.2022 - Current
Junior Data Scient
Biwiser
10.2021 - 06.2022
Practical Project
Chilean Ministry of Health (MINSAL)
03.2020 - 07.2020
Professional Internship
Softys
12.2019 - 02.2020
Practical Project
BrainFood
08.2018 - 12.2018
Teaching Assistant - Optimization Honors Course
Pontificia Universidad Católica de Chile
Diploma in Mathematical Engineering - Uncertainty Quantification, Optimization Fundamentals
Pontificia Universidad Católica De Chile
Hobbies and Interests
- Photography: Passionate about capturing landscapes, urban life, and candid moments through visual storytelling.
- Sports & Fitness: Regularly practice running and strength training to maintain a balanced and healthy lifestyle.
- Nature & Outdoors: Enjoy hiking, exploring natural environments, and spending time in quiet outdoor settings.
- Music: Play acoustic guitar as a creative outlet and personal hobby.
- Lifelong Learning: Actively pursue online courses and certifications related to programming, AI, and emerging technologies to stay up-to-date and continuously expand technical expertise.
Additional Information
- National ID (RUT): 19.594.682-5
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