Python
Proven Business Analyst with a track record of enhancing sales forecast accuracy by up to 40% at LEARNBAY through advanced SQL and Python analytics. Expert in Excel and Power BI, blending critical thinking with problem-solving skills to drive data-driven decisions. Achieved a 60% increase in marketing engagement, showcasing a knack for leveraging statistical analysis and data visualization to surpass business goals.
SQL: Advanced SQL querying, stored procedures, functions, CTEs, window functions, indexing
Data Visualization & Reporting: Power BI, SQL Server Reporting Services (SSRS)
Statistical analysis, trend analysis, KPI development
Created custom reports and dashboards to monitor KPIs and present insights to stakeholders, enhancing visibility and data accessibility.
Developed and executed multi-channel marketing campaigns, including email, social media, and paid advertising, achieving an increase in engagement by 60%.
Developed and executed sales strategies and campaigns, aligning with business goals and targeting key customer segments to maximize market reach.
Programming Languages: Skilled in Python,using libraries like Pandas, NumPy, scikit-learn, and ggplot2
SQL: Advanced skills in SQL for querying, joining, and aggregating data across relational databases MY SQL
Statistical Analysis: Strong grasp of statistical methods (eg, regression, hypothesis testing, probability) for quantitative analysis
Excel: Expert in Excel for data manipulation, Pivot Tables, advanced formulas
Power BI skills Data Modeling,Data Transformation (Power Query,DAX (Data Analysis Expressions)
Python
Microsoft Excel
SQL
Power BI
(Pandas, NumPy, scikit-learn), data visualization (Matplotlib, Seaborn), and machine learning
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