Comprehensive Data Analytics and Visualization
Budget: $750 – $1,500 USD
Power BI:
Expert in creating interactive dashboards and data visualizations to deliver actionable insights.
Proficient in building custom reports, incorporating slicers, filters, and drill-through capabilities.
Strong experience in data transformation and modeling using Power Query and DAX (Data Analysis Expressions).
Capable of connecting multiple data sources (Excel, SQL, Web APIs) to Power BI for comprehensive analytics.
Able to automate reports and integrate real-time data for dynamic decision-making.
Excel:
Advanced skills in data analysis using formulas (VLOOKUP, INDEX-MATCH, SUMIF, etc.), pivot tables, and advanced charting.
Experienced in creating automated reports using Excel macros (VBA) to improve workflow efficiency.
Skilled in data visualization to help clients identify trends and patterns quickly.
Proficient in data cleaning and transformation, including removing duplicates, handling missing values, and creating data models.
Strong in building complex financial models, sales forecasts, and what-if analysis reports.
SQL:
Proficient in writing complex SQL queries to extract, filter, and aggregate data from relational databases (MySQL, PostgreSQL, MS SQL Server, etc.).
Experience in database design and creating efficient queries for reporting and analysis.
Able to perform data joins, subqueries, and aggregations for insightful reporting.
Skilled in optimizing query performance for faster data retrieval, reducing execution time.
Capable of data migration and ETL processes to integrate data from multiple sources into databases.
Python:
Expertise in using Python libraries like Pandas, NumPy, and Matplotlib for data cleaning, analysis, and visualization.
Experience with automating tasks and data processing workflows using Python scripts.
Strong understanding of data manipulation and performing statistical analysis.
Able to build data pipelines, perform web scraping, and integrate data from APIs into analysis.
Knowledge of machine learning algorithms for predictive analytics (scikit-learn, TensorFlow, etc.).
Expert in creating interactive dashboards and data visualizations to deliver actionable insights.
Proficient in building custom reports, incorporating slicers, filters, and drill-through capabilities.
Strong experience in data transformation and modeling using Power Query and DAX (Data Analysis Expressions).
Capable of connecting multiple data sources (Excel, SQL, Web APIs) to Power BI for comprehensive analytics.
Able to automate reports and integrate real-time data for dynamic decision-making.
Excel:
Advanced skills in data analysis using formulas (VLOOKUP, INDEX-MATCH, SUMIF, etc.), pivot tables, and advanced charting.
Experienced in creating automated reports using Excel macros (VBA) to improve workflow efficiency.
Skilled in data visualization to help clients identify trends and patterns quickly.
Proficient in data cleaning and transformation, including removing duplicates, handling missing values, and creating data models.
Strong in building complex financial models, sales forecasts, and what-if analysis reports.
SQL:
Proficient in writing complex SQL queries to extract, filter, and aggregate data from relational databases (MySQL, PostgreSQL, MS SQL Server, etc.).
Experience in database design and creating efficient queries for reporting and analysis.
Able to perform data joins, subqueries, and aggregations for insightful reporting.
Skilled in optimizing query performance for faster data retrieval, reducing execution time.
Capable of data migration and ETL processes to integrate data from multiple sources into databases.
Python:
Expertise in using Python libraries like Pandas, NumPy, and Matplotlib for data cleaning, analysis, and visualization.
Experience with automating tasks and data processing workflows using Python scripts.
Strong understanding of data manipulation and performing statistical analysis.
Able to build data pipelines, perform web scraping, and integrate data from APIs into analysis.
Knowledge of machine learning algorithms for predictive analytics (scikit-learn, TensorFlow, etc.).