I am a data analytics professional with experience supporting business operations, sales analysis, inventory tracking, manufacturing operations, and KPI reporting. I use data to help teams make informed decisions and improve operational performance.
I am skilled in SQL, Python, Excel, Power BI, Tableau, and Google Sheets. My analytical work includes data cleaning, exploratory data analysis, data extraction, aggregations, dashboard development, and performance reporting.
In my current business support role, I analyze sales trends, customer purchasing patterns, and inventory records to support restocking, discount, and process-improvement decisions. My work has contributed to measurable workflow and inventory-efficiency improvements.
I also bring quantitative analysis experience from financial markets, where I evaluate trends, pricing structures, historical data, indicators, and risk across forex, cryptocurrency, and stock markets. This has strengthened my analytical judgment, documentation, and record-keeping abilities.
I have completed portfolio projects involving customer churn analysis, superstore sales analysis, large dataset cleaning and consumer behavior analysis. I enjoy translating complex data into clear dashboards, actionable insights, and recommendations for technical and non-technical stakeholders.
Analyzes sales trends and customer purchasing patterns in Excel and Google Sheets to support inventory restocking and discount decisions.
Identifies workflow gaps and collaborates with team members to improve operations, contributing to a 15% increase in workflow efficiency. Reviews inventory records for inconsistencies and slow-moving products, supporting an 18% improvement in inventory efficiency through data quality monitoring.
Applies quantitative analysis to evaluate market trends, pricing structures, and risk across forex, cryptocurrency, and stock markets.
Analyzes historical price data and market indicators to identify opportunities and inform trading decisions. Maintains disciplined risk management practices and detailed records in a high-stakes decision-making environment.
Tracked production output, downtime, and inventory levels through Excel-based reports to support daily factory operations. Analyzed production and inventory data to identify recurring machine-downtime patterns and optimize production flow.
Monitored raw-material availability in collaboration with quality control and inventory teams, maintaining 100% specification compliance. Identified operational bottlenecks and material wastage, contributing to an 8% reduction in defect rates through corrective actions.
Bachelor of Engineering, Polymer Engineering
Bachelor of Engineering (B.Eng.) in Polymer Engineering.
Google Data Analytics Professional Certificate, Data Analytics
Completed the Google Data Analytics Professional Certificate.
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