• Proficient in data visualization using Power BI, Seaborn, and Matplotlib to communicate data-driveninsights effectively.• Strong expertise in Machine Learning, utilizing Scikit-learn for data-driven decision-making.• Highly skilled in Python with a focus on data manipulation through NumPy and Pandas, providing astrong foundation for data analysis.• Proficient in SQL, including Oracle SQL, for data management and querying

• Executed and delivered custom research projects for global companies, leveraging data analysis,competitive analysis, market sizing, and data recording, cleaning, and analysis with the help of MSExcel to address their business challenges and improve strategies.• Conducted in-depth interviews with industry stakeholders to gain insights into the value chain,business models, and market dynamics, enhancing user segmentation and demand assessment.• Processed and analyzed extensive datasets from primary and secondary sources, utilizing dataanalysis and data visualization, to identify market trends, pain points, and cost-saving opportunities.• Led data-driven projects, collaborating to develop effective strategies, and delivered impactful datadriven recommendations, emphasizing continuous improvement and data-driven insights to enhancebusiness outcomes

• Collaborated with the referral team, significantly increasing hospital traffic through the analysis of200+ clinic visits, physician meetings, and meticulous follow-ups.• Enhanced online visibility by conducting keyword mapping with SEO tools, optimizing web searchresults, and utilizing platforms like Google Trends for keyword analysis.• Analyzed the two-month social media activity of the top 5 hospitals, providing valuable customerengagement insights through data analysis.• Coordinated and executed a successful health check-up program for over 350+ employees at an ITcompany, involving data-driven planning and analysis