Raquel Rosa

WORK HISTORY

EDUCATION

SKILLS

ABOUT RAQUEL ROSA

Data Scientist with 6 years of experience in machine learning, applied AI, predictive modeling, and advanced analytics, delivering data-driven insights that guide strategic business decisions. Background includes classification, regression, clustering, time series analysis, forecasting, segmentation, propensity modeling, churn modeling, lifetime value (LTV) estimation, anomaly detection, and pattern recognition. Strong experience in Natural Language Processing (NLP), sentiment analysis, text analytics, embeddings, semantic search, and LLM-powered systems including Retrieval-Augmented Generation (RAG).Experienced across the full data science lifecycle, including exploratory data analysis (EDA), data wrangling, feature engineering, model development, validation, performance evaluation, and model monitoring in production environments. Comfortable working with structured and unstructured data in cloud and large-scale data platforms.Extensive hands-on experience with Python, SQL, and statistical modeling, along with modern machine learning frameworks and tools such as scikit-learn, XGBoost, LightGBM, pandas, NumPy, and NLP libraries including spaCy. Experience building AI-driven solutions using GPT models from OpenAI, and working within cloud ecosystems such as AWS SageMaker and data platforms like Snowflake.Strong background in data visualization, dashboarding, and business intelligence using Tableau, Looker, and MicroStrategy. Known for translating complex analytical work into clear, actionable recommendations for executives and cross-functional teams. Passionate about leveraging AI and data science to improve decision-making, optimize performance, and drive measurable business impact across industries.