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ali_qasim_javed

Ali Qasim Javed

@ali_qasim_javed

Data Analyst

Pakistan
English, Urdu, Arabic
About me
With 5+ years of experience and 110+ successful projects, I help businesses transform raw data into actionable insights. I specialize in Data Analysis, Data Cleaning, EDA, Statistical Analysis, SQL, Python, Excel, Power BI, Tableau, and Data Visualization. I create interactive dashboards, professional charts, graphs, and visual reports that simplify complex data and support smarter business decisions. Let's turn your data into your competitive advantage contact me today! ... Read more

Skills

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ali_qasim_javed
Ali Qasim Javed
Offline • 
Average response time: 4 hours

See my services

Statistical Modeling & Analytics
I will analyze, clean and visualize data using python, sql, power bi
From$15 / projectMore details
Data Dashboards
I will create power bi and tableau dashboards with KPI reports
From$15 / projectMore details

Portfolio

Work experience

Self_Employed

Self Employed

Self-employed • 1 yr 5 mos

HR Analytics Dashboard | Power BI | Python | SQL

Feb 2026 - Present • 5 mos

Designed and developed a comprehensive HR Analytics solution to help organizations monitor workforce performance and make data-driven HR decisions. Performed data cleaning, preprocessing, and exploratory data analysis (EDA) to identify trends in employee attrition, performance, attendance, hiring, and departmental metrics. Built interactive dashboards with KPIs, charts, graphs, and filters, enabling stakeholders to analyze workforce insights efficiently. Utilized Power BI, Python, SQL, and Excel to transform raw HR data into clear, actionable business intelligence and visual reports.

Data Analyst

Jul 2025 - Present • 1 yr

Developed a Sales Data Analysis Dashboard using Python, SQL, Excel, Pandas, and NumPy to automate data cleaning, preprocessing, analysis, and dashboard generation. Performed Exploratory Data Analysis (EDA), statistical, descriptive, quantitative, and diagnostic analysis to identify trends and support data-driven decisions. Created interactive visualizations using Matplotlib, Seaborn, and Plotly, processed Excel and CSV datasets, wrote optimized SQL queries, and documented the complete workflow in Jupyter Notebook. Applied strong attention to data quality, validation, and clear reporting throughout the project.