Shadi Babadi Email & Phone Number

Truro, England, United Kingdom

• Enhanced forecasting accuracy for non-elective patients through data analysis and implementing advanced machine learning techniques, improving patient flow management.• Leveraged Python libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn for data cleaning, preprocessing, handling missing values, outlier detection, and visualisation, identifying trends and patterns to enhance data quality.• Developed and deployed machine learning models such as support vector regression (SVR) and time series analyses, including ARIMA and SARIMA, to optimise demand forecasting, aligning with business objectives.• Conducted rigorous evaluations of model performance using statistical tests and metrics, ensuring the reliability and validity of predictions.

• Led the design and development of the health information system (HIS), including data modelling and relational database design, improving data accessibility and usability by 30%.• Collaborated with sales and marketing teams as a strategic advisor, leveraging data insights to drive business growth and optimise service delivery.• Ensured the quality assurance and validation of reports, reducing errors by 20% through rigorous anomaly investigation and corrective actions.• Leveraged SQL skills to optimise database queries and procedures, facilitating efficient data retrieval and manipulation for business intelligence reporting and analysis, ensuring data accuracy and reliability.• Developed comprehensive dashboards using Microsoft Power BI to track key performance indicators (KPIs) such as sales revenue, customer engagement, and healthcare performance. Leveraged Power BI's interactive visualisations to communicate key performance metrics and business trends to stakeholders., facilitating data-driven decision-making processes for management and clinical staff.. Collaborated closely with technical teams to optimise data models, ETL processes, and DAXcalculations within the Power BI environment, enhancing performance and efficiency.• Worked seamlessly with data lakes, including Azure Data Lake Storage, to ingest and process largevolumes of data, facilitating comprehensive analysis and decision-making.• Prepared data for audits, ensuring compliance with regulatory standards, and facilitating the smooth conduct of audits. • Collaborated effectively with cross-functional teams to translate data insights into actionable strategies, driving operational efficiency and service quality improvements.• Utilised the R programming language and packages such as dplyr, ggplot2, and tidyr for data manipulation, visualisation, and statistical analysis. Conducted exploratory data analysis (EDA) to derive actionable insights from datasets.

• Designed and developed an electronic medical records (EMR) system, enhancing the efficiency and accuracy of patient data management by 25%.• Promptly identified issues, analysed information, and provided solutions to problems, utilising data statistical methods and analytical techniques. Facilitated the coordination of data responses for various requests, ensuring efficient resolution of issues and fulfillment of ad-hoc data requests for different projects.• Supported daily and monthly data input processes and generated custom reports for corporate accounts, enhancing data-driven decision-making capabilities.• Leveraged Tableau to design and deploy interactive visualisations and dashboards, enabling stakeholders to gain real-time insights into key performance indicators, such as customer satisfaction scores, surgical outcomes, and resource utilisation metrics. • Utilised SQL for data extraction, transformation, and aggregation from relational databases, enabling efficient data processing and analysis. Wrote optimised SQL queries to retrieve relevant data for analysis and reporting purposes. • Skilled in Microsoft Excel for data manipulation, analysis, and reporting. Used Excel to perform tasks such as data cleansing, formatting, and formula-based calculations. Created pivot tables, charts, graphs, and automated Excel templates for reporting and data visualisation, improving the efficiency and accuracy of data-driven decision-making processes.

Master'S Degree, Health Data Science And Statistics

Master'S Degree, Health Information Technology

Bachelor'S Degree