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Lead Data Analyst with a passion for driving data-driven strategies, predictive modeling, and team optimization across various industries including insurance and retail. With over 2 years of experience in data science and analytics, I have a proven track record in reducing churn, improving efficiency, and contributing to millions in annual revenue. Currently, I lead data initiatives at BCBS Of SC, where I develop dashboards, optimize workflows, and build predictive models to support C-Suite decision-making and business strategies. My work spans multiple tools like SQL, Python, AWS, and Power BI to streamline processes and enhance operational efficiency. Career Highlights: • Optimized workflows, saving 120+ hours of manual work per week, driving efficiency through AWS integration. • Built a churn prediction model reducing customer churn by 12%, leading to $7M in retained annual revenue. • Collaborated with cross-functional teams on A/B tests, improving policy conversion rates by 12%. • Developed real-time dashboards at The LEGO Group, improving sales forecasting accuracy by 15% and decision-making speed by 23%. • Recognized for building predictive models, earning recognition in data science competitions like NESS Statathon (3rd place out of 150 participants). Beyond my work, I've had the privilege of competing and winning several hackathons and data science competitions, including earning 1st prize at Well4Tech’s Data Science Health Hackathon, and NESS Statathon by Travelers. My innovative work has been featured on Times Square billboards, and covered by major media outlets like Fox, NBC, and over 20+ articles. Additionally, I’ve been recognized by Favikon for my contributions to the data community. I have experience working with a range of data science tools like PySpark, SQL, Power BI, and Python, and hold certifications such as Tableau Desktop Specialist and AWS Machine Learning. As a strong believer in mentorship and continuous learning, I’ve also contributed as a Graduate Teaching Assistant for SQL and led the UConn Data Analytics Club, fostering growth and development within the community. Feel free to reach out if you’d like to discuss data analytics, data science, or potential collaboration: [email protected].
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