About Me
As a Senior Data Scientist (Manager) at Cardinal Health, I have extensive experience in the analytics field. Previously, I held the position of Data Scientist at Nestle, Novartis, and ZS. My passion for data storytelling drives me to share my insights through writing, and I actively contribute to industry blogs and publications, aiming to enrich the discourse in the field of data science.
I have a Master’s Degree in Business Analytics & Project Management from the UConn School of Business, where I gained a strong foundation in analytical thinking and problem-solving. In addition, my experience working in analytical consulting has given me a deep understanding of the Healthcare, Retail, and Consumer Products domains.
In my current role at Cardinal Health, I collaborate with a team of data scientists in delivering high-impact analytics solutions to a range of business problems. I am always looking for new and exciting challenges, and I am passionate about driving innovation and growth through the use of data and analytics.
Core Competencies
Analytical Thinking:
As a data enthusiast, I am passionate about uncovering insights hidden within complex sets of data. I am proficient in mastering new knowledge and techniques quickly, allowing me to stay on the cutting edge of data science and analysis.
My ability to understand and articulate the limitations and potential of a given dataset has enabled me to effectively guide others in the development of data-driven solutions. I have a strong background in statistical analysis, machine learning, and data visualization, and I am constantly seeking to improve my skills and stay up-to-date with the latest developments in the field.
In my previous roles, I have helped companies across a range of industries unlock the potential of their data and make informed decisions that drive business growth.
Communication:
As a passionate advocate for knowledge transfer and education, I have a strong interest in conducting sessions and workshops on emerging tools and techniques in analytics. I have successfully conducted sessions on Data Visualization: Storytelling and Power BI for new hires at my company, helping to onboard and educate them on these important topics.
In terms of technical expertise, I am skilled in coding in both R and Python, with a particular focus on decision science techniques. I enjoy focusing on all aspects of predictive model building, from data preparation and feature engineering to model selection and interpretation.
In addition to my technical abilities, I am a strong communicator and presenter, able to convey complex ideas and concepts to both technical and non-technical audiences in an accessible and engaging way.
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