CV

Andrés Vera

Data Scientist | AI Engineer | RPA

Data Scientist and AI Engineer with a strong foundation in business operations, specializing in NLP, machine learning, and intelligent automation. Experienced in designing and deploying hybrid AI systems (rule-based + NLP/LLMs) to automate workflows, enhance compliance controls, and improve operational performance.

Providencia, Santiago - Chile me@andresveraf.com +56 9 92595854

Core Philosophy

AI + Business Operations

I bridge the gap between cutting-edge AI technology and practical business operations. My unique background combines deep technical expertise with hands-on business experience, enabling me to understand complex organizational challenges and deliver solutions that drive measurable business impact.

Data-Driven Decision Making

I believe in transforming raw data into actionable insights. From building machine learning models to creating automated dashboards, my focus is always on delivering measurable results that improve KPIs, reduce costs, and optimize operations.

Autonomous Systems

I specialize in developing agentic AI workflows that can reason, plan, and execute tasks autonomously. This enables organizations to scale their operations while maintaining quality and reducing manual intervention.

Experience

Education

Languages

🇪🇸

Spanish

Native

🇬🇧

English

Professional Working Proficiency

CEFR B2
🇩🇪

German

Basic Working Knowledge

CEFR A2

Skills & Knowledge

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Detailed Skills Overview

Programming & Data

Python SQL Pandas NumPy Xlwings Regex

Machine Learning

Scikit-learn PyTorch Supervised Learning Unsupervised Learning Classification Clustering

NLP & LLM Systems

Transformers BERT spaCy NER RAG Hybrid Architectures Prompt Engineering

AI Engineering & Automation

LangChain Agentic Workflows ReAct Pattern Chain of Thought Few-shot Learning

Enterprise Tools & BI

Git CI/CD Power Automate Power BI Selenium SharePoint API Integration

Advanced Analytics

Time Series Analysis LSTM RFM Analysis Churn Prediction Fraud Detection OCR Vector Databases Semantic Similarity

Operations & Leadership

RPA Process Optimization KPI Management Cross-Functional Leadership Stakeholder Management Data Governance Compliance

Skills list (accessible fallback): AI & Machine Learning includes Agentic AI, NLP & LLMs, RAG Systems, Prompt Engineering, Machine Learning, Named Entity Recognition, Semantic Similarity, OCR, Vector Databases, Fraud Detection, and MLOps. Data Science & Analytics includes Python, Data Science, SQL, Analytics, Regex, Time Series, Dashboards, and Data Pipelines. Tools & Operations includes RPA, Web Scraping, Operations, Process Optimization, KPI Management, Compliance, Cross-Functional Leadership, Communication, Problem Solving, Competitive Intelligence, Selenium, SharePoint, API Integration, and Data Governance.