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Federico – LLM, NLP, Python, experts in Lemon.io

Federico

From Argentina (GMT-3)

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Data ScientistSenior
Data AnalystSenior
Hire developer
4 years of commercial experience
Accounting
Advertising
AI
Business intelligence
Data analytics
Energy
Machine learning
Sports
NLP software
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Federico – LLM, NLP, Python

Meet our Senior Data Scientist/Analyst, an individual with a profound passion for transforming intricate data into actionable insights. With a wealth of experience in developing supervised and unsupervised models across diverse industries, Federico possess proficiency in machine learning and deep learning methods, utilizing SQL, Python and related frameworks. His expertise extends to LLM and NLP processes, reflecting in his exceptional performance in generating KPIs, formulating business questions, managing stakeholders, and addressing imbalanced data.

Main technologies
Additional skills
LLM
NLP
Python
Docker
Azure DevOps
GitHub Actions
OpenAI
LangChain
Git
Pandas
Scikit-learn
PyTorch
AWS
Agile
Databricks
PySpark
Data analysis
Kanban
Scrum
SQL
Ready to start
ASAP
Direct hire
Not available

Experience Highlights

Data Scientist
Dec 2023 - Mar 20242 months
Project Overview

LLM-powered chatbot application to leverage client’s internal database. The application showcases a first agent to translate natural language prompts into the client’s specific query format through prompt engineering, and a second one to summarize the returned data for the user.

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Responsibilities:
  • Worked on POCs of generative AI solutions for unstructured document analysis, leveraging OpenAI’s pre-trained LLMs and Azure’s cognitive services to determine valuable information regarding tax compliance;
  • Included OCR of handwritten legislative documents and a chatbot assistant for tax analysts concerning exemptions and tax rates, utilizing an RAG architecture and an Azure Cosmos DB vector database built from the scraping of official sources;
  • Designed and coded a framework to enable the usage of an API through a natural language interface;
  • Developed a Python framework to facilitate the operation of the client’s API, allowing retrieval of information from a 270-million-organization database via a chatbot interface.
Project Tech stack:
Python
LangChain
Azure DevOps
Docker
OpenAI
GitHub Actions
LLM
NLP
Data Scientist
Jul 2023 - Nov 20233 months
Project Overview

Chatbot assistant for tax analysts concerning exemptions and tax rates, powered by an RAG architecture and an Azure Cosmos DB vector database built from the scraping of official sources.

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Responsibilities:
  • Was in charge of building a RAG-powered chatbot assistant to provide accurate responses to users on highly technical topics.
Project Tech stack:
Python
Azure DevOps
LangChain
OpenAI
Docker
Git
Kanban
Agile
NLP
LLM
Data analysis
Machine Learning Engineer
Dec 2022 - Jun 20235 months
Project Overview

Fraud detection algorithm for transactions on online money transfers for a big oil company.

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Responsibilities:
  • Designed and coded entire architecture for automated machine learning pipelines;
  • Conducted feature engineering, model training, evaluation, and deployment;
  • Developed machine learning pipelines that automatically adjusted to users' data, including diagnosing uploaded datasets, performing deep feature engineering, evaluating instantiated models, inferring on future data, and translating results into actionable insights;
  • Demonstrated a strong focus on code optimization, profiling, and deployment of models into production environments.
Project Tech stack:
Python
AWS
Scikit-learn
PyTorch
Git
Docker
Pandas
Agile
Scrum
Data Scientist
Jul 2022 - Nov 20223 months
Project Overview

Fraud detection algorithm for online transactions for a big oil company.

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Responsibilities:
  • Conducted data ingestion and implemented ETL processes to preprocess raw data for analysis;
  • Engineered features to extract relevant information and enhance predictive model performance;
  • Developed machine learning models to detect fraudulent transactions using highly imbalanced historical data;
  • Evaluated model effectiveness and fine-tuned parameters to improve performance;
  • Managed the development process under heavy inference time constraints to ensure timely predictions.
Project Tech stack:
Python
Databricks
PySpark
Agile
Data analysis
Scrum
Data Scientist
Mar 2022 - Aug 20225 months
Project Overview

Clustering and recommendation system for a medium-sized food distribution company.

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Responsibilities:
  • Conducted feature engineering to enhance data quality and extract meaningful insights;
  • Developed machine learning models for predictive analytics and recommendation systems;
  • Evaluated model performance and translated results into actionable marketing strategies;
  • Designed and implemented two sequential algorithms: one for clustering the company's customers and another for creating a personalized recommendation system for the product catalog;
  • Utilized algorithms to deepen understanding of client consumption patterns and identify opportunities for sales growth.
Project Tech stack:
Python
Scikit-learn
Git
AWS
Data analysis
Data Scientist
Apr 2021 - Mar 202211 months
Project Overview

Sports results’ prediction.

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Responsibilities:
  • Collected data via web scraping;
  • Conducted ETL (Extract, Transform, Load) processes;
  • Performed descriptive statistical analysis;
  • Developed machine learning models to predict results of sports competitions, primarily horse racing;
  • Engaged in feature engineering, experimentation, and research on a daily basis.
Project Tech stack:
Python
Selenium
Scikit-learn
Pandas
NumPy
Data analysis
Data Analyst
Dec 2020 - Mar 20212 months
Project Overview

Tax Returns and accounting advice.

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Responsibilities:
  • Calculated tax returns for individuals and provided tax advice to employees of international companies who were temporarily or permanently relocated internationally;
  • Developed online statistical reports on historical and future employee leave permits to track the department's available resources;
  • Was in charge of generating data on the department's personnel and constructing Power BI reports with descriptive statistics and visualizations.
Project Tech stack:
Microsoft Power BI

Education

2024
Master of Data Science
M.Sc.
2018
Bachelor of International Relations
B.Sc.

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