Data Analyst with experience in data engineering, predictive modeling, data visualization, and statistical analysis. Skilled in Python, Power BI, Tableau, SQL, Azure, Spark, Hadoop, and machine learning techniques, with …
Data Analyst with experience in data engineering, predictive modeling, data visualization, and statistical analysis. Skilled in Python, Power BI, Tableau, SQL, Azure, Spark, Hadoop, and machine learning techniques, with experience across healthcare, energy, aviation, and academic projects.
Applied root cause analysis to address complex issues, using agile methodology. Proficient in Azure, ETL, and Git for streamlined
project requirements translating business problems to consultative solutions using b2b sales transactions.
• Proficient in end-to-end data engineering, collaboration, and database systems. Implemented robust data pipelines for
seamless processes using robotics data.
Applied root cause analysis to address complex issues using agile methodology.
Used Azure, ETL, and Git for streamlined project requirements translating business problem to consultative solution using b2b sales transaction.
Worked in end-to-end data engineering and database systems.
Implemented robust data pipelines for seamless processes using robotics data.
Coordinated a 3-person team to perform financial analysis on call center performance considering external factors weather, market trends, holidays, and seasons.
Utilized Python and Power BI to present insights for service enhancement in effective manner with data report and data storytelling.
Developed predictive models using machine learning algorithm Linear regression to forecast Southstar Energy call center's future call volume with 76% accuracy.
Facilitated resource allocation and understood business processes.
Led a team of four people in forecasting demand for aircraft components and sales training time series forecasting techniques to find industry trends.
Achieved an accuracy rate of 81%, leading to improved data-driven pricing strategies to minimizing stock-out situation.
Optimized warehouse management to assist clients.
Used KPI guided success and project and supply chain management.
Designed Tableau and Power BI visualizations to analyze sales trends.
Enhanced inventory management system and validated supply chain with reduced error detection with business analytics.
Loaded and transformed 10 million trauma-related records with demographic and healthcare costs using advanced MS Excel and Python techniques to optimize analysis.
Conducted descriptive statistics extracting valuable insights for decision-making.
Utilized multivariate statistics to identify correlations between dependent variables.
Leveraged BERT model with data corpus to find trauma causes.
Implemented k-means clustering for data segmentation.
Applied Python libraries including geonamecache, geolocator and geopy for location-based analysis.
Facilitated precise geographical insights for decision-making processes using internal organization data.
Employed PowerBI to create comprehensive dashboards consolidating insights including patterns, trends, and maps.
Developed T-SQL stored procedure for automation solution for reports optimizing performance by 30%.
The AI-first Recruitment Operating System that unifies and automates the entire hiring lifecycle for modern enterprises worldwide.
Dr Job FZ LLC. 2026 © All Rights Reserved
