As a data-driven problem solver with a Master’s in Information Systems from Northeastern University, I am passionate about using data to drive strategic business decisions and solve real-world challenges. My expertise in Python, SQL, Tableau, and machine learning empowers me to transform complex datasets into actionable insights that lead to tangible business outcomes.In my current role at Unnanu, Inc., I have streamlined job board operations by automating the collection and posting of job listings with Python web scraping, increasing platform efficiency by 30%. I played a key role in developing Unnanu’s patented AI-driven contextual keyword search, improving resume parsing accuracy and bias-free hiring processes. Collaborating with cross-functional teams, I enhanced the platform’s job-matching algorithms, improving accuracy by 25%, and elevating the overall user experience.Throughout my academic and professional journey, I have consistently tackled challenging projects that bridge technical innovation with business needs. From analyzing motor vehicle collision data in NYC to uncovering critical trends in the streaming industry, I have delivered impactful results by transforming raw data into interactive dashboards and visualizations that empower decision-makers.I am passionate about continuous learning and staying ahead of industry trends, holding certifications in Data Analysis and Excel from Microsoft and IBM. As I continue to grow in my career, I am excited to apply my skills in a forward-thinking organization where I can contribute to data-driven innovation and make a meaningful impact.Let’s connect to explore how we can collaborate on transforming data into actionable insights that drive business success.