Consultant Data Analyst
CurrentProject: CRM Data Quality Pipeline• Analyzed CRM system requirements for data quality issues.• Developed algorithms for data quality checks (e.g., null, unique, outlier analysis) and integrated them into the pipeline for automated issue identification.• Conducted comprehensive CRM data analyses to detect patterns, anomalies, and other quality issues.• Worked closely with stakeholders to ensure the CSV files provided the necessary information for addressing data quality issues… Show more Project: CRM Data Quality Pipeline• Analyzed CRM system requirements for data quality issues.• Developed algorithms for data quality checks (e.g., null, unique, outlier analysis) and integrated them into the pipeline for automated issue identification.• Conducted comprehensive CRM data analyses to detect patterns, anomalies, and other quality issues.• Worked closely with stakeholders to ensure the CSV files provided the necessary information for addressing data quality issues effectively.Project: Bank Operational Reports• Delivered the highest number of SQL queries within the team, completing 22 queries within a tight 30-day deadline for a Bank.• Provided valuable assistance to colleagues in developing logical solutions, enhancing the efficiency andeffectiveness of the team's deliverables.• Consistently exceeded expectations by delivering an average of 3 queries per day, surpassing the team's average of 2 queries.• Ensured the timely completion of over 22 queries and used SQL best practices to develop these queries.Project: UAE Regulatory Reporting• Led a team of 2 individuals in the development of a product focused on regulatory reports for the UAE• Collaborate closely with the business to identify the specific regulatory reports needed, meticulously filtering and selecting 176 reports from a pool of over 600 reports.• Worked closely with the business stakeholders to identify and map the reports in the Temenos Data Hub, compiling the mappings in Excel and tagging each report to facilitate the development process for the team.Project: Banks Social Media Market Analysis• Extracted data from Facebook and Twitter (around 50,000+ rows for 5 banks) using data scraping tools and store them in a database• Used sentiment analysis to identify customers’ key problems at each bank and highlighted them in a report• Identified the posts per day and peak interaction time in a day for each bank and recommended the most engagement time for each bank Show less