Akhand Pratap

I am a data-driven professional with a strong foundation in both quantitative analysis and strategic business management. I am currently completing my MBA in Business Analytics at the School of Data Science and Forecasting, Devi Ahilya Vishwavidyalaya, which builds upon my undergraduate background in Economics (B.A. Hons.). My core expertise lies at the intersection of full-stack data analytics, business intelligence, and quality assurance.Throughout my academic and professional journey, I have developed a robust technical toolkit, including Python for automation and exploratory data analysis, SQL for database management, and Power BI for advanced visualization.During my recent internship as a Data Analyst at ThoughtSphere in Bangalore, I specialized in clinical data science and healthcare analytics. I was responsible for building complex clinical trial dashboards, monitoring adverse events, and creating patient safety profiles. Alongside my analytics work, I also took on core Quality Assurance (QA) testing responsibilities, ensuring the reliability and accuracy of the software solutions being deployed.I am passionate about building end-to-end analytical solutions that solve real business problems. A few of my key project achievements include: Retail Analytics ("Vogue"): Developed a comprehensive dashboard focused on customer segmentation and market basket analysis to drive retail strategy.Clinical Research Tracking: Built a dynamic tracking dashboard using the ClinicalTrials.gov API to extract, clean, and visualize study statuses and locations for Type 2 Diabetes research.Marketing Automation: Engineered a Lead-to-Cash optimization project that featured an automated lead-scoring model to prioritize high-value prospects.I am particularly interested in roles that bridge the gap between technical data engineering and business strategy, such as Data Analyst, Business Analyst, or Management trainee positions. I thrive in environments where I can leverage data to optimize processes, whether that is in clinical healthcare analytics, marketing automation, or enterprise business intelligence.