Hello World! I'm Diego Diaz π
π― Data Scientist | Sales Operations Director | Engineer
With over 10 years of experience in the Industrial and Automotive sectors, I combine my leadership in Sales Operations with a passion for Data Science to drive performance through data insights.
Letβs collaborate on data-driven projects or open-source contributions!
- Data Science: Python, R, SQL, Tableau, PowerBI, Alteryx
- Programming: Python, R, SQL, C++
- Frameworks & Tools: Oracle Sales Cloud, Salesforce CRM, IBM Cognos, DSX Forecasting, Teradata
- Data & Analytics: Predictive Models, Data Governance, Big Data Analysis
- DevOps: Git, CI/CD, Agile Methodology
- Data Analysis & Insights: Generating actionable insights from large datasets.
- Sales Optimization: Improving sales velocity, enhancing demand planning, and integrating incentive structures.
- Leadership: Leading teams to success in both technical and business environments.
- Automation & Reporting: Automating reports and workflows with tools like Tableau and Alteryx.
Here are a few key projects that I've worked on, contributing to both sales operations and data analytics:
Developed a predictive model to improve sales funnel health by analyzing historical data and identifying bottlenecks. Resulted in a 30% improvement in sales efficiency.
Built a demand forecasting model using machine learning algorithms, enhancing demand planning accuracy across LATAM, and aligning production with market trends.
Automated regional performance reports for LATAM, reducing reporting time by 50% and enhancing decision-making processes with real-time insights.
- Sales Analytics Tools: Contributed to a set of open-source tools aimed at enhancing sales data analysis using Python and SQL.
- Data Science for Business: A repository for business-focused data science projects, including tutorials and practical examples.
Currently expanding my knowledge in:
- Advanced Machine Learning techniques for sales and marketing data.
- Cloud-based analytics platforms like AWS and GCP for large-scale data processing.
You always can ping me thru LinkedIn or by email at [email protected]