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Registration: 16.08.2026

Pakiza Nisar

Specialization: Data Analyst
Data Analyst with a Chemistry background and an evidence-driven approach to data work. — Skilled in SQL, Python (Pandas, NumPy), Excel, and Power BI for end-to-end analytics projects. — Completed two portfolio projects: CRM sales analysis (8,800+ records, 3-page Power BI dashboard) and AI job market analysis (10,000+ records, 2-page dashboard). — Writes SQL with CTEs, window functions, and conditional aggregation; builds DAX measures and interactive Power BI reports. — Seeking a remote Data Analyst role to contribute and grow.
SQL Python Excel Power BI Data Analysis Data Visualization Data Cleansing Business Analysis Data Warehousing NumPy Data mining T-SQL Git GitHub Jupyter SQL Server ETL pandas Data Science
Data Analyst with a Chemistry background and an evidence-driven approach to data work. — Skilled in SQL, Python (Pandas, NumPy), Excel, and Power BI for end-to-end analytics projects. — Completed two portfolio projects: CRM sales analysis (8,800+ records, 3-page Power BI dashboard) and AI job market analysis (10,000+ records, 2-page dashboard). — Writes SQL with CTEs, window functions, and conditional aggregation; builds DAX measures and interactive Power BI reports. — Seeking a remote Data Analyst role to contribute and grow.
SQL Python Excel Power BI Data Analysis Data Visualization Data Cleansing Business Analysis Data Warehousing NumPy Data mining T-SQL Git GitHub Jupyter SQL Server ETL pandas Data Science

Portfolio

CRM Sales Analysis

Analyzed CRM sales data to understand sales performance, deal stages, customer trends, and product performance. Cleaned and transformed the data using Python and SQL, and created Power BI dashboards to track KPIs and highlight business insights.

Pakiza Nisar | Data Analyst Portfolio

A portfolio showcasing my Data Analytics projects, skills, and experience with SQL, Python, Excel, and Power BI.

AI Job Market Analysis Dashboard

Analyzed an AI job market dataset to identify salary drivers, experience trends, technical skill premiums, and hiring patterns. Cleaned and transformed the data using Python and SQL, then built an interactive Power BI dashboard to present key insights and support data-driven decisions.

Skills

SQL
Python
Power BI
Excel
Pandas
DAX
NumPy
SQL Server
Data Analysis
Data Visualization
Data Cleaning
Jupyter Notebook
Git
ETL
Power BI Dashboard

Work experience

Data Analyst
05.2026 - 06.2026 |Portfolio Project
Excel, Python, Pandas, SQL Server, Power BI, DAX
● CRM Sales Analytics: built an end-to-end analytics pipeline (Excel → Python → SQL Server → Power BI) for 8,800+ sales records. ● Wrote 30 SQL queries using CTEs, window functions, and conditional aggregation to answer key business questions. ● Developed a 3-page Power BI dashboard with 15+ DAX measures covering revenue, win rate, and customer/product performance. ● Identified insights across products, sales agents, and customer accounts; delivered 7 business recommendations.
Data Analyst
07.2026 - 08.2026 |Portfolio Project
Python, Pandas, NumPy, SQL, Power BI, DAX
● AI Job Market Analysis: analyzed 10,000+ AI job records through a Python → SQL → Power BI pipeline to answer 10 questions on salary and hiring trends. ● Cleaned and preprocessed raw data in Python (Pandas, NumPy), engineering skill and experience features for deeper analysis. ● Discovered that education level has minimal impact on salary once experience is accounted for. ● Built a 2-page Power BI dashboard with DAX KPIs and cross-filters by country, year, and experience level.

Educational background

Chemistry (Bachelor’s Degree)
2020 - 2024
University of Chakwal

Languages

EnglishProficientUrduNative