Dynamic and results-oriented individual with a Master's in Business Intelligence and Data Analytics, bringing a solid foundation in statistical analysis, data management, and strategic optimization. Proven expertise in developing and implementing data-driven strategies to enhance organizational efficiency. Exceptional communication and collaboration skills, ensuring effective teamwork and seamless integration of insights into business processes.
Continuous learning, attending industry conferences, and staying updated on the latest trends in Business, Artificial intelligence, Finance and Sports
Sales Forecasting Project (Academic Project), 02/01/22, 05/31/22
Developed a predictive model for sales forecasting using Python and SQL, resulting in a 15% improvement in accuracy., Data Pre-processing:, - Cleaned and standardized raw data to ensure accuracy and consistency., - Conducted exploratory data analysis to identify outliers and missing values., Statistical Modelling:, - Utilized regression analysis techniques to identify key variables impacting sales., - Applied advanced statistical methods to enhance the accuracy of the predictive model., Database Management:, - Extracted and manipulated data from the company's databases using SQL., - Designed and implemented database queries to retrieve relevant data for analysis.
Customer Segmentation Analysis (Academic Project), 09/01/23, 11/30/23
Conducted customer segmentation to optimize marketing strategies and enhance customer satisfaction., Clustering Algorithms:, - Applied advanced clustering algorithms to identify distinct customer segments., - Conducted in-depth analysis of customer behavior patterns to inform segmentation., Data Visualization:, - Utilized Power BI to create visually compelling dashboards for presenting insights., - Developed visualizations highlighting key trends and patterns for marketing strategies., Strategic Recommendations:, - Presented actionable insights to the marketing team for targeted campaigns., - Collaborated with cross-functional teams to integrate segmentation findings into marketing strategies.
Business Analytics Intern (Optimisation Analytics Academic Project), 10/01/22, 11/30/22
Designed and presented a cost-effective menu planning solution adhering to dietary and nutritional requirements for restaurants and organizations. Aimed at optimizing operations without compromising on quality and customer health., Data Analysis and Modelling:, - Utilized Python for data analysis and modelling, ensuring accuracy in menu planning., - Applied statistical methods to optimize menu offerings based on customer preferences., Database Management:, - Employed SQL for efficient database management and querying., - Ensured seamless integration of the solution with existing inventory management systems., Data Visualization and Reporting:, - Utilized Power BI for comprehensive data visualization and reporting., - Presented findings and recommendations to stakeholders in a clear and actionable manner.
Marketing Strategy Enhancement (Fast Web Host), 06/01/21, 08/31/21
Led a team to enhance marketing strategies and brand awareness, resulting in a 25% increase in customer engagement. Conducted market trend analysis using Python and SQL, implemented A/B testing, and utilized Power BI for comprehensive data visualization and reporting., Team Leadership:, - Led a cross-functional team, providing guidance and ensuring project objectives were met., - Facilitated effective communication and collaboration among team members., Data Analysis and Modelling:, - Conducted in-depth market trend analysis using Python and SQL., - Applied statistical methods to evaluate the effectiveness of marketing campaigns through A/B testing., Data Visualization and Reporting:, - Utilized Power BI for comprehensive data visualization and reporting., - Presented findings and recommendations to the executive team for strategic decision-making.