I’m a data analyst with a strong foundation in statistical analysis, data visualization, and business intelligence. Skilled in R, Python, SQL, Excel, and Power BI, I specialize in transforming raw datasets into actionabl…
I’m a data analyst with a strong foundation in statistical analysis, data visualization, and business intelligence. Skilled in R, Python, SQL, Excel, and Power BI, I specialize in transforming raw datasets into actionable insights that drive decision‑making. I enjoy solving complex problems, uncovering trends, and telling compelling stories through data. My goal is to help organizations make smarter, evidence‑based choices.
Developed Python scripts to scrape, clean, and analyze open datasets for business intelligence projects.
Built interactive visualizations using Matplotlib and Excel dashboards to improve data-driven decision-making.
Conducted exploratory data analysis on weather patterns and web engagement metrics to guide strategic recommendations.
Developed Python scripts to scrape, clean, and analyze open datasets for business intelligence projects., Built interactive visualizations using Matplotlib and Excel dashboards to improve data-driven decision-making., Conducted exploratory data analysis on weather patterns and web engagement metrics to guide strategic recommendations.
Processed and analyzed physicochemical and heavy metal assay data using Excel and Python.
Applied pollution index models and visualized findings in Tableau for environmental research publications.
Designed standardized data collection templates and documentation protocols to enhance data integrity.
Processed and analyzed physicochemical and heavy metal assay data using Excel and Python., Applied pollution index models and visualized findings in Tableau for environmental research publications., Designed standardized data collection templates and documentation protocols to enhance data integrity.
Automated data extraction from industry websites using Python (Requests, BeautifulSoup).
Cleaned and structured keyword datasets for SEO performance tracking using SEMrush and Google Analytics.
Improved organic website traffic by 25% through consistent SEO-driven research insights.
Automated data extraction from industry websites using Python (Requests, BeautifulSoup)., Cleaned and structured keyword datasets for SEO performance tracking using SEMrush and Google Analytics., Improved organic website traffic by 25% through consistent SEO-driven research insights.
Monitored and logged quality parameters (pH, conductivity, hardness) of petroleum products in Excel.
Standardized data-entry procedures, improving reporting accuracy by 20%.
Analyzed time-series QC data to detect process anomalies and recommend corrective measures.
Monitored and logged quality parameters (pH, conductivity, hardness) of petroleum products in Excel., Standardized data-entry procedures, improving reporting accuracy by 20%., Analyzed time-series QC data to detect process anomalies and recommend corrective measures.
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