Data Visualization and Analysis:

• Designed and modernized intuitive dashboards and visualizations in Splunk, providing stakeholders with real-time insights into data trends, anomalies, and key performance indicators, facilitating data-driven decision making.
• Proficient in using Microsoft Excel ,SQL, Tableau for data analysis, including data cleaning, transformation, and visualization

Problem Solving and Technical Analysis:

• Exhibited robust analytical and problem-solving prowess by analyzing and resolving intricate technical issues by conducting thorough root cause analysis (RCA) on AWS/PaaS using SQL and Python.
• Monitored system performance, identified anomalies and patterns, and achieved a 75% improvement in system reliability and efficiency.

Predictive Analytics and Modeling:

• Performed advanced statistical analysis and data modeling to predict system failures and proactively address potential issues, leading to a 15% reduction in downtime.

Data Automation and Efficiency:

• Spearheaded automation of data collection processes using Python and SQL, reducing manual data entry by 90%

Data Collaboration and Presentation:

• Collaborated with various teams and stakeholders to gather, synthesize, and present data for analysis, demonstrating strong teamwork and communication skills

• Designed and implemented a real-time analytical predictive model utilizing back-propagation algorithm

  • to identify the type, timing, and root cause of conveyor belt faults with 90% accuracy

  • resulting in a 98% uptime for Propus conveyors and optimizing their operational efficiency.