I help organizations unlock the full potential of their data to drive innovation, optimize operations, and achieve business goals. As a seasoned Data Science leader with over 20 years of experience, I specialize in bridging the gap between data science and strategic decision-making. My expertise spans industries such as Technology, Social Media, Telecommunications, Financial Services, and Retail, where I have consistently delivered measurable results by leveraging data, AI, and machine learning.

Beyond my professional work, I am passionate about mentoring the next generation of data professionals and exploring how emerging technologies can shape the future of business.

My career has been focused on driving tangible business impact through data. Here are a few key accomplishments:

• Improved retention by 73%: Developed and operationalized a churn prediction model at Autodesk, significantly boosting customer success effectiveness.
• Achieved a 7X increase in sales conversions: Delivered a lead conversion predictor, driving B2B revenue growth.
• Enabled a $1B+ service launch: Implemented accurate OpEx forecasting for Meta Verified, supporting its successful debut.
• Unlocked $20M in profits: Led a 5-company coalition loyalty program implementation, including technology, operations, marketing, and analytics.
• Boosted productivity and saved ~$750K annually: Scaled a global analytics team from 6 to 23, standardizing metrics and automating processes.

I combine a strong technical background with strategic leadership to build high-performing teams and execute transformative analytics projects.

• Languages: Python, SQL, R
• Libraries & Frameworks: Pandas, TensorFlow, PyTorch, scikit-learn, Matplotlib
• Leadership: Team Building, Project Management, Strategic Decision-Making, Fostering Data-Centric Cultures

Here are a few examples of my work that showcase my skills in action. Each project includes detailed documentation on my methodology, results, and code.

• Crypto Sentiment Analysis: An analysis project focused on leveraging NLP to understand sentiment in cryptocurrency markets.
• Skin Cancer Detection: A comparison of 6 models that combine features learned by Convolutional Neural Networks and handcrafted features for the specific task.
• ROI of Real Estate Investments: A model that collects data from the housing market and uses it to predict the ROI of improvements or expansions.
• More projects coming soon! Stay tuned for more examples of my work.

I am always open to discussing new opportunities, ideas, and collaborations. Feel free to connect with me.

• LinkedIn: linkedin.com/in/marcosgeraldo
• Email: marcos.geraldo@gmail.com