Afaan siddiqui

⦁ Conducted comprehensive data analysis using SQL and Python, producing insightful reports on customer behavior, financial trends, and risk assessments to aid decision-making processes.
⦁ Designed and implemented interactive dashboards using Tableau, providing real-time visualizations of key performance indicators to support branch managers in monitoring operations.
⦁ Developed and deployed automated workflows using VBA macros, significantly reducing manual data processing time and improving accuracy.
⦁ Applied Data Analysis Expressions (DAX) to develop complex calculations, measures, and calculated columns in Power BI reports, enhancing data modeling capabilities.
⦁ Executed segmentation analysis based on demographics and behavior, leading to targeted marketing campaigns and a 25% increase in customer retention.
⦁ Utilized SQL queries to extract, transform, and manipulate data from relational databases efficiently and created complex joins and subqueries to retrieve specific information required for analysis.
⦁ Ensured compliance with data protection regulations and maintained data privacy standards throughout analysis. Developed and implemented data validation processes to improve accuracy and reliability of analytical results.
⦁ Analyzed operational data to identify bottlenecks, resulting in a 15% reduction in transaction processing time and improved customer satisfaction. Effectively communicated complex technical findings to non-technical stakeholders, facilitating cross-functional understanding and collaboration
⦁ Implemented data-cleaning workflows to handle missing values, outliers, and inconsistencies, resulting in improved data quality and accuracy. Ensured compliance with financial regulations by analyzing data and generating reports that demonstrated adherence to industry standards.
⦁ Maintained a commitment to continuous learning, actively staying updated with industry trends and evolving technologies to enhance the skill set and knowledge base.

Conducted comprehensive data analysis using SQL and Python, producing insightful reports on customer behavior, financial trends, and risk assessments to aid decision-making processes.
Designed and implemented interactive dashboards using Tableau, providing real-time visualizations of key performance indicators to support branch managers in monitoring operations.
Developed and deployed automated workflows using VBA macros, significantly reducing manual data processing time and improving accuracy.
Applied Data Analysis Expressions (DAX) to develop complex calculations, measures, and calculated columns in Power BI reports, enhancing data modeling capabilities.
Executed segmentation analysis based on demographics and behavior, leading to targeted marketing campaigns and a 25% increase in customer retention.
Utilized SQL queries to extract, transform, and manipulate data from relational databases efficiently and created complex joins and subqueries to retrieve specific information required for analysis.
Ensured compliance with data protection regulations and maintained data privacy standards throughout analysis.
Developed and implemented data validation processes to improve accuracy and reliability of analytical results.
Analyzed operational data to identify bottlenecks, resulting in a 15% reduction in transaction processing time and improved customer satisfaction.
Effectively communicated complex technical findings to non-technical stakeholders, facilitating cross-functional understanding and collaboration.
Implemented data-cleaning workflows to handle missing values, outliers, and inconsistencies, resulting in improved data quality and accuracy.
Ensured compliance with financial regulations by analyzing data and generating reports that demonstrated adherence to industry standards.
Maintained a commitment to continuous learning, actively staying updated with industry trends and evolving technologies to enhance the skill set and knowledge base.

Created visually appealing and informative data visualizations using tools like Tableau and developed interactive dashboards that provided a holistic view of key metrics.
Utilized SQL to retrieve, manipulate, and aggregate data from relational databases, streamlining data extraction processes.
Employed indexing and query optimization techniques to enhance database performance, reducing query execution times by up to 30%.
Developed time-series forecasting models in Excel, accurately predicting demand patterns for resource allocation.
Automated repetitive tasks in Excel using VBA, reducing manual effort and increasing productivity.
Implemented robust data cleaning and transformation processes using Python and Excel macros, ensuring data accuracy and consistency.
Automated recurring reporting processes using scripting languages like Python, saving approximately 10 hours per week.
Designed customized Power BI dashboards that showcased relevant KPIs and metrics for different departments, enhancing data accessibility.
Analyzed diverse datasets using statistical techniques, translating findings into actionable insights, thereby improving operational processes and leading to a 20% reduction in processing time.
Optimized custom DAX calculations tailored to specific business needs, enhancing the granularity of insights provided by Power BI reports.
Utilized DAX functions to define hierarchical structures and perform complex aggregations, allowing for multidimensional analysis in reports.
Collaborated extensively with diverse teams to understand their data needs, ensuring alignment with business objectives and delivering actionable insights.
Provided data-driven insights on market trends, customer behavior, and product performance to inform strategic planning.
Conducted customer segmentation analysis resulting in a personalized marketing campaign that achieved a 17% higher conversion rate.
Cleansed and transformed raw data to ensure its accuracy and consistency, enhancing the reliability of analysis outcomes.
Participated in routine database maintenance activities such as data backups, data integrity checks, and index rebuilds.