Focused on leveraging data to support its knowledge-based approach in healthcare.Used data to optimize product offerings, identify market trends, and analyze customer behavior across therapeutic segments like neuropsychiatry and antibiotics.Built Power BI dashboards to track KPIs and operational metrics, empowering decision-making.Used SQL queries to extract relevant sales data, customer demographics, and product performance metrics from the company’s database.Analysed the results to identify trends, high-performing products, and under-served regions, enabling better decision-making in product offerings.Imported SQL queries into Power BI to dynamically update dashboards.Used Direct Query and Import methods to link Power BI with the SQL database, ensuring real-time data updates or scheduled refreshes for key metrics.

Led disease transmission modeling project in Proxximos. Developed comprehensive model using network science, graph theory, and epidemiology. Analyzed extensive dataset of over 400 Million records using Python, MySQL and Pandas. Conducted graph-based simulations considering transmission probabilities, recovery rates, and network structures. Visualized and interpreted results, optimizing parameters for accuracy. Collaborated with cross-functional teams and communicated findings effectively. Evaluated model performance metrics and contributed to Proxximos' disease modeling capabilities. Played crucial role in addressing public health challenges. Applied Agile methodologies to ensure autonomous and efficient project execution, enabling us to meet crucial milestones within a 10-week period.

Produced comprehensive reports for British Gas operations, encompassing daily, weekly, monthly, and annual insights for UKB and UKH processes.Conducted in-depth analysis of key management reports and metrics, providing actionable recommendations that significantly enhanced operational outcomes.Spearheaded the automation of client reports, reducing manual efforts and ensuring adherence to contractual obligations.Streamlined data integration from diverse sources, leveraging multiple formats for comprehensive analysis.Executed a successful migration from SAS to R, enhancing efficiency and modernizing analytical processes.

conducted in-depth analysis of customer records to uncover valuable insights into consumer behavior, preferences, and trends. Utilized advanced statistical techniques to analyze customer data, identify patterns, and correlations to anticipate customer needs more effectively. Played a pivotal role in designing and executing targeted marketing campaigns and promotional strategies based on segmented customer groups. Monitored and evaluated the performance of implemented solutions, iterating and refining approaches based on real-time feedback and evolving business requirements. Collaborated closely with cross-functional teams to align data-driven initiatives with overall business objectives and ensure seamless integration into existing workflows and processes.