Senior Data Analyst with 3 years of experience driving data-driven decision-making and leading cross-functional teams. Skilled in predictive modeling, Python, and SQL, with a strong focus on extracting valuable insights from large datasets. Recognized for effective communication and mentorship, fostering a culture of continuous learning and skill development. Currently pursuing an Executive Programme on Business Analytics to further enhance expertise. Seeking a Data Scientist role to leverage analytical skills and contribute to innovative solutions within organizations.
• Collaborated with stakeholders, business leaders, and IT professionals to identify and define business requirements and objectives.
• Conducted exploratory data analysis (EDA) to uncover patterns, trends, and anomalies impacting business performance.
• Developed and optimized data models and complex SQL queries in Google BigQuery for data analysis and reporting; created scheduled queries for daily and weekly execution.
• Designed and maintained performance monitoring dashboards using Tableau; ensured accuracy and efficiency of existing dashboards and incorporated necessary updates.
• Applied basic statistical frameworks to analyze and interpret data accurately.
• Developed machine learning models for Marketing Mix Modeling (MMM) to provide predictive insights and guide business decisions.
• Implemented budget optimization strategies post-MMM, resulting in sales margins upliftment through strategic spend reallocation.
• Generated reports and presentations summarizing findings, insights, and recommendations using MS Excel and PowerPoint to support data-driven decision-making.
Git
Google Data Analytics Specialization, Coursera
Google Data Analytics Specialization, Coursera
Tableau 2022 A-Z: Hands-On Tableau Training, Udemy
Introduction to Large Language Models, Google Cloud
Introduction to Generative AI, Google Cloud