This repository documents my technical upskilling journey through the IBM Professional Certification. It reflects my active transition into Data Analytics and Automation, combining a robust background in business operations with new, hands-on technical capabilities.
This specialization allows me to build a strong foundation in the data lifecycle, focusing on practical applications for corporate environments:
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📊 Data Analysis (Excel)
- Applied Skills: Data Cleaning, Pivot Tables, VLOOKUPs, and Workflow Optimization.
- Focus: Solving bilingual localization challenges and maintaining formula integrity across English/Spanish software environments.
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🐍 Data Science Foundations (Python)
- Learning Path: Utilizing Pandas, NumPy, and Matplotlib for data processing and exploratory visualization.
- Goal: Moving from manual data entry to basic script automation and structured data manipulation.
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🗄️ Database Management & SQL
- Fundamentals: Understanding relational database structures and writing essential SQL queries.
- Business Context: Applying the 5 V's of Big Data to strategic decision-making and operational scaling.
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🥖 Bella's Bakery Case Study
- Executive Summary: Executed an end-to-end inventory and sales analysis for a retail business scenario.
- Impact: Applied structured data cleaning techniques to extract actionable business insights from raw logs.
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📜 Global Localization Guide
- Documentation: Created a methodology for managing software localization discrepancies in analytics tools, demonstrating attention to detail and process documentation.
After an extensive and successful career managing complex processes and Customer Experience, I am intentionally pivoting toward the technical execution of these strategies. I am currently integrating:
- Process Automation: Learning Python and N8N to modernize and scale repetitive workflows.
- Data-Driven Decisions: Building the foundational skills to analyze data logs and optimize conversion rates.
- Continuous Tech Adoption: Embracing AI, basic programming, and cyber-awareness to stay at the forefront of digital efficiency.
Bridging Business Operations with Tech & Data Analytics | ✨ 2026 | Remote & Global 🌐🚀