Mark Chendus

• Developed dashboards and reports to track and analyse sales performance metrics, including revenue, profit margins, and product
• Designed and implemented complex data models and analytics solutions to track logistics performance indicators such as shipment times, costs, and carrier performance.
• Collaborate with logistics managers to understand their reporting needs and deliver custom dashboard solutions.
• Designed and deploy advanced SQL queries and PowerBI dashboards, leading to a 15% boost in stakeholder satisfaction through improved data visualization and accessibility.
• Delivered standardized, scheduled reporting in support of organizational KPI's and obiectives.
• Oversee data quality audits and reviews, ensuring high standards of data integrity, impacting positively on overall business performance

Key achievements

• Engineered an automated reorder system, reducing stockouts and overstock by 15% through dynamic adjustments based on stock levels, seasonal demand, and sales forecasts.
• Designed a supply chain optimization model that analyzed supplier performance and logistics costs, achieving a 25% reduction in lead times and a 10% decrease in transportation expenses.
• Directed implementation of new business intelligence tools, selecting appropriate solutions and aiding in corresponding onboarding processes.

• Developed and implemented data analytics strategies to support the bank's financial products and services, leading to a 15% increase in product adoption and customer satisfaction.
• Created and maintained dynamic reports and dashboards for tracking key financial metrics, improving management's visibility into operational performance and market trends.
• Collaborated with cross-functional teams to understand data needs, ensuring the delivery of tailored analytics solutions for various banking departments.
• Played a pivotal role in the design and execution of a customer segmentation model, which enhanced targeted marketing efforts and increased customer acquisition by 25%.
• Led initiatives for data quality and integrity, ensuring compliance with regulatory standards and minimizing risk in data-driven decisions.
• Conducted comprehensive analysis of customer transaction data, providing insights that led to a 10% reduction in fraudulent transactions and improved customer trust.

Key Achievements

• Developed intricate financial models forecasting company performance, including income statements, balance sheets, and cash flows, resulting in a 95% accuracy rate in financial projections and aiding strategic planning.
• Designed and implemented a real-time fraud detection system, reducing fraudulent transactions by 40% through continuous monitoring and analysis of financial activities for anomalies.

• Assisted in the maintenance and cleaning of large data sets related to IT product sales and banking transactions to ensure data integrity and accuracy.
• Utilized SQL and Python to develop basic queries for data extraction, aiding in the analysis of sales performance and financial health.
• Create reports and interactive dashboards, Utilizing SSRS and store procedures, to monitor key business metrics.
• Implemented code solutions to answer analytic questions and test and assess new methods.
• Analyzed transactions to build logical business intelligence model for real-time reporting needs.

• Developed and implemented BI solutions to analyze customer connections and behaviors, enhancing customer engagement and service delivery.
  
• Utilized advanced data manipulation tools and visualization techniques to provide actionable insights, improving connection exposure and account reviews.
  
• Collaborated with cross-functional teams to ensure data-driven decisions aligned with privacy and lending policies, contributing to strategic planning.