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Daniel Pazuello

@danielpazuello

Data Scientist and Machine Learning Specialist driving innovation in AI.

Brazil
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What I'm looking for

I seek a dynamic role where I can leverage my data science skills to drive impactful business decisions and foster innovation in a collaborative environment.

I 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.

Experience

Work history, roles, and key accomplishments

SL

Machine Learning Engineer

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.

GR

AI Generative Engineer

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%.

RD

Data Scientist

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.

FC

Data Scientist

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%.

VC

Marketing Data Analyst

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%.

DB

Intern: Data-Driven Business Strategy

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.

Education

Degrees, certifications, and relevant coursework

IN

INFNET

MBA, Data Science and Predictive Models

2024 - 2024

UU

Unknown University

Bachelor's, Economics

2022 - 2024

Tech stack

Software and tools used professionally

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