Osinachi Chigaemezu E.

Key Skills

Software

Other

Top Subject Matter

Sales dataset analytics for reporting and dashboards

Business intelligence and dashboarding for sales performance

Top Data Types

Image

Video

Document

Top Task Types

Data Collection

Classification

Object Detection

Question Answering

Text Generation

Text Summarization

Freelancer Overview

Data practice: Sales Dataset Cleaning and Analysis (Excel + SQL). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and Microsoft Power BI. Education includes Certificate in Data Analytics, Apex Academy School (2026) and Higher National Diploma, Federal Polytechnic Nekede Owerri (2016). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Data Collection and Classification.

Labeling Experience

Data practice: Sales Performance Dashboard (Power BI + Power Query)

Classification

Built a sales performance dashboard project by cleaning and transforming data using Power Query, then visualizing KPIs in Power BI. Created interactive dashboard views to track revenue, profit, and sales trends across regional and product dimensions. Used basic DAX to support KPI calculations and visualization logic for structured reporting.•Applied Power Query for data cleaning and transformation.•Created Power BI interactive dashboards with KPIs and charts.•Used basic DAX to define measures for dashboard reporting.•Analyzed regional and product performance to highlight top-selling categories.

2026 - 2026

Data practice: Sales Dataset Cleaning and Analysis (Excel + SQL)

OtherData Collection

Worked on data practice projects involving cleaning, transforming, and organizing datasets for downstream analysis. Performed SQL extraction tasks to retrieve and filter records, using aggregations like SUM and COUNT. Focused on converting raw tabular data into structured forms to support reporting-ready outputs.•Cleaned sales datasets by removing duplicates and correcting formatting issues.•Used Pivot Tables and summarization to generate monthly revenue views.•Wrote SQL queries to extract specific product records from tables.•Built simple revenue summaries using query results.

2026 - 2026

Education

Work History