I develop and apply Reinforcement Learning from Human Feedback (RLHF) strategies, focusing on enhancing the naturalness and effectiveness of chatbots for industry-leading clients. I employ advanced tools such as Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, SciPy, and Matplotlib, which have led to significant improvements in AI system responsiveness and adaptability.

• Led the development and implementation of comprehensive Business Intelligence strategies, aligning data analysis with key business objectives to drive decision-making across departments.• Spearheaded the implementation of critical KPIs and performance dashboards.• Automated reporting processes using advanced SQL, Python, and BI tools, reducing report generation time and increasing the frequency of insights delivery to stakeholders.

• Sentiment Analysis on Movie Reviews: Implemented a Natural Language Processing project, focusing on sentiment analysis of movie reviews through binary classification. Leveraged Python and various NLP libraries, including nltk, spacy, gensim, and scikit-learn. Employed techniques such as text normalization, vectorization, and embeddings for model training. The project yielded an accuracy of 88% and a ROC of 95%.• Image Classification for E-Commerce: Developed a machine learning project by… Show more • Sentiment Analysis on Movie Reviews: Implemented a Natural Language Processing project, focusing on sentiment analysis of movie reviews through binary classification. Leveraged Python and various NLP libraries, including nltk, spacy, gensim, and scikit-learn. Employed techniques such as text normalization, vectorization, and embeddings for model training. The project yielded an accuracy of 88% and a ROC of 95%.• Image Classification for E-Commerce: Developed a machine learning project by implementing different convolutional neural network models for classifying vehicle make and model from images for an e-commerce application. Used Python, TensorFlow, and Keras, achieving over 87% accuracy on the testing dataset, improving user experience and inventory management. • Flask ML API: Developed a Python Flask API to classify images into 1000 categories using a pre-trained Convolutional Neural Network (CNN). The solution includes a Web UI for image upload and a responsive API, improving image classification efficiency and accuracy.• Home Credit Risk Analysis: Conducted data manipulation, visualization, and pre-processing on a voluminous dataset comprising over 350,000 transactions. Trained supervised machine learning models, achieving a commendable ROC AUC score of over 0.72. Incorporated Logistic Regression, Random Forest, and LightGBM models. Show less

Implemented a process to determine the optimal mix of fresh whole chicken, chicken parts, and processed products ( cold meats and sausages).

Managed the exchange of goods and services per grain operations (soy and maize among others).Negotiated the conditions of forward contracts of grains. Performed financial analysis of the Grain Division. Planned and coordinated logistics.Achieved a greater consolidation of the Grain Division regarding the controls and processes involving an Exchange and forward contract operation.

Control of the income, costs, and margins of the subsidiary based in Santa Cruz, Bolivia.Analyzed and elaborated profitability reports by channel. Identified real deviations compared to the objectives. Detected variations, and defined the correct action plan along with the Financial Manager.

I was responsible for overseeing Capital Budgeting, planning, and control. I was instrumental in developing budgets per area and generating management indicators and financial reports that provided valuable insights for strategic decision-making.Leveraging my expertise in cash flow analysis, I guided the organization in making informed decisions to ensure adequate financial resources were available to support ongoing operations. My unwavering commitment to excellence and my exceptional… Show more I was responsible for overseeing Capital Budgeting, planning, and control. I was instrumental in developing budgets per area and generating management indicators and financial reports that provided valuable insights for strategic decision-making.Leveraging my expertise in cash flow analysis, I guided the organization in making informed decisions to ensure adequate financial resources were available to support ongoing operations. My unwavering commitment to excellence and my exceptional financial acumen played a pivotal role in driving optimal financial outcomes for the organization. Show less

As a Risk Analyst for a leading bank, my primary responsibility was to evaluate the creditworthiness of potential clients seeking loans. My role involved assessing the borrower's financial capacity to repay the loan amount, which involved analyzing cash flows, balance sheets, income statements, and other critical financial data.

My research was centered on investigating the impact of soil organic matter calcification on phosphorus availability and the resulting economic effects on sugarcane producers in the state of Florida, United States.