How Is Andrea Barber Shaping Women’s Future in Data Science?

How Is Andrea Barber Shaping Women’s Future in Data Science?

Let me introduce you to Chloe Maraina, a trailblazer in the world of data analytics and business intelligence. With a keen eye for creating compelling visual stories through big data, Chloe has carved a niche for herself as an expert in data science and a visionary in data management and integration. Her passion for empowering others, especially women in tech, shines through her innovative approaches and dedication to bridging gaps in technology. In this interview, we dive into her journey, exploring how her experiences in healthcare sparked her love for data, her mission to drive equity through analytics, and her efforts to build supportive communities for aspiring tech professionals.

How did your early experiences in healthcare ignite your passion for data and analytics?

Working in healthcare opened my eyes to the transformative power of data. I saw firsthand how numbers could reveal critical insights, like identifying gaps in patient care or inefficiencies in systems. There were moments when analyzing data helped uncover disparities in treatment access, and that really struck a chord with me. It wasn’t just about crunching numbers; it was about telling stories that could lead to real change. Those experiences pushed me to dive deeper into analytics, knowing I could make a difference by leveraging data to improve outcomes.

What prompted you to pivot your career focus toward data analytics and science?

I was on a stable career path that paid well, but I couldn’t shake the feeling that technology was where the future was headed. I wanted to be part of something impactful, and my time in healthcare showed me how data could drive that impact. Switching my major to data analytics and science felt like a leap, but it was driven by a realization that I could combine my skills with my passion for problem-solving. It was intimidating to step away from familiarity, but the potential to create change through data made it worth the risk.

You’ve spoken about ensuring all communities are part of technological advancements in healthcare. Can you expand on that vision?

In healthcare, data often reveals stark disparities—whether it’s access to care, quality of treatment, or health outcomes across different demographics. I’ve seen how certain communities are left behind in the tech wave, either due to lack of resources or representation in decision-making. My goal is to use data to highlight these gaps and advocate for solutions, whether that’s through better policies or targeted interventions. I want to ensure technology serves everyone, not just a select few, by bringing those stories to light through analytics.

Can you walk us through your role in medication management and how data plays a part in it?

As a medication management coordinator, I work on ensuring patients have access to the right treatments and follow-ups. Data is at the heart of this—whether I’m tracking adherence rates, identifying barriers to access, or analyzing trends in medication usage. It helps me pinpoint where interventions are needed most. The most rewarding part is knowing that these insights directly improve someone’s quality of life. Data isn’t just numbers on a screen; it’s a tool to make healthcare more personal and effective.

As co-director of technology for a women-in-tech initiative, what projects are you most proud of leading?

I’ve had the privilege of spearheading programs that empower women in technology, like workshops and mentorship opportunities focused on building tech skills. One initiative I’m particularly proud of is creating spaces where women can network and learn from each other, breaking down the isolation many feel in this field. We’ve seen participants grow in confidence and even land roles in tech because of these efforts. The challenges often come from limited resources or pushback, but by fostering collaboration and staying persistent, we’ve been able to overcome those hurdles and make a real impact.

What inspired you to launch your YouTube channel focused on coding and confidence-building?

I started my channel because I noticed a gap in accessible, beginner-friendly resources for women entering tech, especially in coding. I wanted to focus on Python since it’s such a versatile language, but more than that, I wanted to build confidence. Tech can feel intimidating, and I’ve been there myself—doubting whether I belonged. My goal was to break down complex concepts into manageable lessons and create a space where women could feel encouraged to try, fail, and learn without judgment. It’s about showing that anyone can code if they have the right support.

What kind of community do you envision fostering through your platform?

I dream of building a tight-knit, supportive community where women in tech and analytics can share their struggles and successes openly. It’s about creating a space where beginners feel safe asking questions and experienced folks can mentor others. I’ve already gotten feedback from viewers saying they feel less alone after watching my videos or joining discussions, and that’s incredibly motivating. My plan is to keep growing this space through interactive content and collaborations, ensuring it’s a place where everyone feels they belong.

You’ve cited a prominent figure in AI ethics as an inspiration. How has their work shaped your approach to data?

I’ve always admired the way certain leaders in AI ethics highlight bias in technology. Their work on exposing how algorithms can perpetuate inequality has deeply influenced me. It’s made me hyper-aware of the responsibility we have as data professionals to question our tools and ensure they’re fair. I’ve learned to always ask who’s being left out of the data and to prioritize ethical considerations in every project. Their persistence in the face of challenges also reminds me to stay committed, even when the road gets tough.

What advice do you have for our readers who are aspiring to make their mark in data and analytics?

My biggest piece of advice is to treat data like a language—don’t try to master it all at once. Start small, learn bit by bit, and soon you’ll be telling stories through data that only you can tell. Your unique perspective is your strength; it’s what allows you to see insights others might miss. Stay curious, trust your voice, and don’t be afraid to experiment. The world needs the stories and solutions you can uncover, so keep pushing forward, even when it feels hard.

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