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My name is Cindy Lo, and I've been fortunate in my career. When it comes to opportunities, I seem to have a knack for landing them. I'm not talking about winning vacations, vacuum cleaners, or lottery tickets—rather, I consistently secure job offers. In fact, it's not uncommon for me to submit five resumes, attend five interviews, and come away with five job offers.
You might be thinking, "That's quite remarkable! What's your secret?" Well, if you're curious, I'd be happy to share.
My journey to discovering my passion in data science (DS) has been anything but traditional, but I wouldn't have it any other way. Before delving into DS, I pursued studies and worked as a Civil Engineer.
It was through developing numerous online side projects over time that I realized my interest in blending business, data, and communication. This realization led me to pivot my career towards becoming a DS Consultant and Storyteller.
“I made the decision to dedicate myself to assisting organizations and teams in leveraging data within a business context to visualize value creation—and I haven't regretted it for a moment."
Curiosity: I have a natural curiosity to find out how things work.
Creativity: Most people are creatively lazy. That’s my opportunity!
Innovative Thinking: I view the common ways of approaching problems as opportunities for creative solutions.
Positive Attitude: I care. I’m committed. I know what I’m doing. I love what I do. I deliver quality.
Technical Sophistication: I Google and figure things out myself, or ask around for solutions.
Versatility: I take charge of cross-functional processes, adeptly navigating through various tasks to ensure completion.
Excel: work with small data, develop good data habits, prototype reports and dashboards.
SQL: Handle large data sets, integrate multiple data sources, possess a deep understanding of data modeling, translate complex questions into precise queries, and automate data processes to ensure readability, traceability, and reproducibility.
Python: learn the most by making things and debugging errors, master web scraping techniques and perform advanced dataframe operations.