Siphesihle C.

Key Skills

Software

No software listed

Top Subject Matter

Data analytics training (Excel, SQL, Python, Power BI)

Data cleaning and preprocessing

Customer analytics

Top Data Types

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Top Task Types

Entity (NER) Classification

Classification

Freelancer Overview

Data Analytics Training Certificate (Excel, SQL, Python, Power BI). Core strengths include N, A, and Python (pandas. Education includes National Diploma in Information Technology (Software Development), Walter Sisulu University (2020) and Advanced Diploma in ICT in Application Development, Walter Sisulu University (2022). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Computer Programming, Coding, and Entity (NER) Classification.

Labeling Experience

Business Reporting Automation (Excel)

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Automated business reporting workflows using Excel pivot tables and formulas to streamline recurring reporting tasks. Translated reporting requirements into repeatable spreadsheet calculations and structured views. Reduced manual effort by standardizing how report outputs were generated. • Pivot table-based reporting automation • Advanced Excel formulas • Repeatable reporting structure • Efficiency-focused reporting workflow

2022

Sales Performance Dashboard (Power BI)

TextClassification

Built an interactive sales performance dashboard in Power BI to monitor KPIs and present performance metrics. Developed KPI reports and dashboard visuals to support ongoing review of sales results. Structured the dashboard to enable interpretation of sales trends and key indicators. • KPI monitoring and reporting • Power BI dashboard development • Interactive performance visualizations • Sales performance insights for stakeholders

2022

Customer Data Analysis (SQL & Power BI)

TextEntity (NER) Classification

Carried out customer data analysis using SQL and Power BI to extract and analyze customer trends from available datasets. Queried and aggregated customer-related information to identify patterns relevant to reporting and decision-making. Built visual outputs in Power BI to communicate trend insights clearly. • SQL querying and joins for customer data • Trend extraction and analysis • KPI reporting via Power BI • Visualization for business insights

2022

Data Cleaning Project (Python)

Performed a data cleaning project by cleaning, transforming, and visualizing datasets to make them suitable for analysis and reporting. Used scripting and visualization libraries to standardize data and support interpretation of cleaned outputs. Emphasized preparing datasets correctly to enable downstream analytics and dashboarding. • Dataset cleaning and transformation • Data visualization after cleaning • Preparation for analysis and reporting • Quality-focused preprocessing steps

2022

Data Analytics Training Certificate (Excel, SQL, Python, Power BI)

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Completed structured training and practical exercises covering data cleaning, visualization, business intelligence, statistical analysis, and data storytelling for analytics workflows. Applied these skills to prepare datasets for analysis and generate actionable insights from raw inputs. Focused on transforming unstructured or inconsistent data into analysis-ready formats and interpretable outputs. • Data cleaning and preparation • Exploratory data analysis (EDA) • KPI monitoring and reporting • Business intelligence and data storytelling

2022

Education

Work History