Banner Image

All Services

Programming & Development Math / Algorithms / Analytics

Data Analysis and Data Visualization

$50/hr Starting at $400

  • Collect data from multiple sources like databases, APIs, and spreadsheets.
  • Clean and prepare data by handling inconsistencies, duplicates, and outliers.
  • Perform exploratory data analysis (EDA) to identify trends and patterns.
  • Apply statistical methods like regression, correlation, and hypothesis testing.
  • Create visualizations using tools like Tableau, Power BI, and Python.
  • Develop dashboards and reports to communicate key metrics and insights.
  • Present findings clearly to technical and non-technical stakeholders effectively.
  • Use predictive modeling techniques like classification, clustering, and regression.
  • Align data analysis with business objectives and industry-specific challenges.
  • Ensure data quality, integrity, and compliance with governance standards.
  • Programming: Proficient in Python, R, and their data science libraries.
  • Machine Learning: Expertise in algorithms like decision trees, clustering, and neural networks.

  • Data Wrangling: Handling large datasets, transforming raw data into actionable insights.


About

$50/hr Ongoing

Download Resume

  • Collect data from multiple sources like databases, APIs, and spreadsheets.
  • Clean and prepare data by handling inconsistencies, duplicates, and outliers.
  • Perform exploratory data analysis (EDA) to identify trends and patterns.
  • Apply statistical methods like regression, correlation, and hypothesis testing.
  • Create visualizations using tools like Tableau, Power BI, and Python.
  • Develop dashboards and reports to communicate key metrics and insights.
  • Present findings clearly to technical and non-technical stakeholders effectively.
  • Use predictive modeling techniques like classification, clustering, and regression.
  • Align data analysis with business objectives and industry-specific challenges.
  • Ensure data quality, integrity, and compliance with governance standards.
  • Programming: Proficient in Python, R, and their data science libraries.
  • Machine Learning: Expertise in algorithms like decision trees, clustering, and neural networks.

  • Data Wrangling: Handling large datasets, transforming raw data into actionable insights.

Skills & Expertise

AlgorithmsAnalyticsDashboard DesignData AnalysisData ModelingData VisualizationGoogle AnalyticsMachine LearningMathematicsMicrosoft ExcelModelingPower BIR ProgrammingReportsSASSPSSStatistical AnalysisTableau

Related Work Collections

0 Reviews

This Freelancer has not received any feedback.