Data Analyst with 3 years of experience in data cleaning, visualization, and statistical analysis. Skilled in Python, SQL, and Excel, with strong knowledge of Power BI/Tableau for building dashboards. Proven ability to t…
Data Analyst with 3 years of experience in data cleaning, visualization, and statistical analysis. Skilled in Python, SQL, and Excel, with strong knowledge of Power BI/Tableau for building dashboards. Proven ability to translate raw data into actionable insights to support decision-making and business
Collected, cleaned, and analyzed large datasets to support business decisions and optimize operations.
Built dashboards and visual reports using tools like Excel, Power BI, and Tableau to track KPIs and trends.
Conducted statistical analysis and created predictive models using Python (Pandas, NumPy, Scikit-learn) and SQL.
Performed data mining and data modelling to identify trends and develop reports to inform business decisions.
Created a visual representation of data to enable easy interpretation by non-technical staff.
Documented and maintained data structures to ensure accuracy and integrity.
Developed and implemented strategies to ensure data quality and accuracy.
Performed data analysis and created reports using R and Python.
Developed and maintained data warehouses and databases.
Coordinated with stakeholders to define project scope and objectives.
Conducted exploratory data analysis (EDA) to identify patterns, trends and outliers in datasets.
Improved data accuracy by 20% through rigorous data cleaning procedures.
Identified cost-saving opportunities by analyzing procurement data, resulting in a 15% reduction in expenses.
Conducted exploratory data analysis (EDA) to identify patterns, trends and outliers in datasets.
Improved data accuracy by 20% through rigorous data cleaning procedures.
Identified cost-saving opportunities by analyzing procurement data, resulting in a 15% reduction in expenses
Collected, cleaned, and analyzed large datasets to support business decisions and optimize operations. Built dashboards and visual reports using tools like Excel, Power BI, and Tableau to track KPIs and trends. Conducted statistical analysis and created predictive models using Python (Pandas, NumPy, Scikit-learn) and SQL. Documented and maintained data structures to ensure accuracy and integrity. Developed and implemented strategies to ensure data quality and accuracy. Improved data accuracy by 20% through rigorous data cleaning procedures. Identified cost-saving opportunities by analyzing procurement data, resulting in a 15% reduction in expenses.
Supervised a team of sales associates in a high-traffic retail environment, ensuring excellent customer service and smooth daily operations.
Monitored staff performance, provided coaching and feedback, and conducted on-the-job training to improve sales and customer satisfaction.
Managed inventory control, restocking, and visual merchandising in alignment with brand standards.
Handled customer escalations professionally, resolving issues and maintaining brand reputation.
Assisted with daily sales reports, cash handling, and end-of-day reconciliations.
Implemented promotional strategies to boost sales, contributing to a [X]% increase in monthly revenue.
Coordinated staff schedules to ensure proper coverage and efficient store functioning.
Ensured compliance with health, safety, and company policies.
Supervised a team of sales associates in a high-traffic retail environment, ensuring excellent customer service and smooth daily operations. Monitored staff performance, provided coaching and feedback, and conducted on-the-job training to improve sales and customer satisfaction. Managed inventory control, restocking, and visual merchandising in alignment with brand standards. Handled customer escalations professionally, resolving issues and maintaining brand reputation. Implemented promotional strategies to boost sales, contributing to a [X]% increase in monthly revenue. Coordinated staff schedules to ensure proper coverage and efficient store functioning. Ensured compliance with health, safety, and company policies.
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