Skills

  • Data Analyst using Power BI and Python
    8
  • Data Analysis
    8
  • Experience in data analysis with SPSS & Excel
    9
  • AI | Machine Learning
    7
  • Data Science
    5
  • Data Entry
    9

Experience

Zulyadaini Muhammad Aminu

Work experience
  • Data collection: Gathering data through surveys, tracking website visitors, or buying datasets
  • Data cleaning: Removing errors, duplicates, and outliers from raw data
  • Data modelling: Designing database structures, including what data to store, how to relate data categories, and how the data will appear
  • Data analysis: Using statistical tools to identify patterns and trends in the data
  • Data visualization: Creating charts, graphs, and dashboards to present data findings
  • Reporting: Writing reports and making presentations to communicate findings to stakeholders
  • Collaboration: Working with other departments to understand their data needs and help them make decisions
  • Documentation: Creating documentation to help stakeholders understand the data analysis process

Zulyadaini Muhammad Aminu

Work experience
  • Assisted in analyzing and interpreting data using SQL to support business decision.
  • Conducting data cleaning and quality check to ensure data accuracy.
  • Created visualizing using MS Excel, Power BI and Tableau to present insight to senior management.
  • Collaborated with cross-functional teams to understand data needs and provides analytical need
  • Conducted ad-hoc analysis to support project based initiatives.
  • Developed documentation for data analysis processes and procedures

Zulyadaini Muhammad Aminu

Work experience
  • Machine Learning Engineer  at   Omdena
  • Data mining or extracting usable data from valuable data sources.
  • Using machine learning tools to select features create and optimize classifiers.
  • Carrying out pre-processing of structured and unstructured data.
  • Enhancing data collection procedures to include all relevant information for developing analytic systems.
  • Processing, cleansing, and validating the integrity of data to be used for analysis.
  • Analysing large amounts of information to find patterns and solutions.
  • Developing prediction systems and machine learning algorithms.
  • Presenting results in a clear manner.
  • Propose solutions and strategies to tackle business challenges.
  • Collaborate with Business and IT teams.

Related persons