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@danielpazuello
Data Scientist and Machine Learning Specialist driving innovation in AI.
BrazilI am a Data Scientist and Machine Learning Specialist with a strong background in predictive modeling, generative AI, and MLOps. My expertise lies in leveraging advanced analytics to drive innovation across global and local markets. I have a proven track record of designing customer segmentation models and automating marketing analytics workflows, which have significantly boosted campaign ROI and improved client satisfaction.
Throughout my career, I have built scalable ETL pipelines and implemented CI/CD processes for machine learning deployment, enhancing operational efficiency and model reliability. My projects include developing GPT-powered chatbots and anomaly detection models that have reduced fraud and improved customer engagement. I am passionate about utilizing data to create actionable insights and drive business success.
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Work history, roles, and key accomplishments
Sales Forecasting with Deep Learning
Jan 2022 - Apr 2024 (2 years 3 months)
Designed LSTM models to improve monthly sales forecasts by 30% and integrated insights into Tableau dashboards for demand planning.
Generative AI for Personalized Recommendations
Jan 2022 - Apr 2024 (2 years 3 months)
Developed GPT-3-powered recommendation systems, boosting product sales by 20% and engagement by 15%.
Real-Time Fraud Detection
Jan 2022 - Apr 2024 (2 years 3 months)
Developed ML anomaly detection models with Python and Spark, reducing fraud by 40% and enhancing monitoring through real-time dashboards.
Freelance Consultant
Jan 2021 - Apr 2024 (3 years 3 months)
Built scalable ETL pipelines using Databricks and Snowflake, processing over 5TB of data daily. Implemented CI/CD pipelines with Jenkins and Docker, reducing deployment time by 60%. Developed GPT-powered chatbots, improving customer response time by 35%.
V4 Company
Jan 2022 - Feb 2022 (1 month)
Designed customer segmentation models using clustering algorithms, boosting campaign ROI by 20%. Automated marketing analytics workflows with Python, reducing reporting time by 30%. Developed Tableau dashboards to analyze campaign effectiveness, improving client satisfaction by 25%.
Digital Business
Jun 2021 - Jul 2021 (1 month)
Built predictive customer retention models with 85% accuracy, reducing churn by 25%. Developed financial dashboards to monitor KPIs, improving decision-making by 40%. Automated financial forecasting workflows with Python APIs.
Degrees, certifications, and relevant coursework
MBA, Data Science and Predictive Models
2024 - 2024
Bachelor's, Economics
2022 - 2024
Software and tools used professionally
BrazilYou can contact Daniel and 90k+ other talented remote workers on Himalayas.
Message Daniel
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