Selected Works
Here are some of my selected works I have done lately. Feel free to check them out.
I'm a Data Analyst and Business Intelligence Developer who specializes in turning raw, messy data into structured insights that drive real decisions. I work across the full data pipeline — from writing SQL queries and Python scripts to extract and clean data, to building interactive Power BI dashboards and BI reports that make performance instantly visible to stakeholders. My focus is on three things: making data accurate, making it meaningful, and making it actionable. Whether that's designing a KPI dashboard for executive reporting, building an ETL pipeline to automate data flows, or digging into a dataset to surface trends and anomalies — I bring the same attention to detail and analytical thinking to every project. I'm actively seeking roles in Data Analysis, Business Intelligence, and Power BI Development where I can contribute to data-driven teams and keep growing.
2025 Present
Collect, research, and enrich B2B business datasets using multi-source methods including LinkedIn, Apollo, Google Maps, and Hunter.io. Validate and clean data to remove duplicates and ensure accuracy. Structure datasets for segmentation and tracking. Use Python and automation tools to streamline data workflows and improve efficiency.
Apr 2025 - July 2025
Worked on NGO data analysis under the Amdad project. Collected and cleaned large datasets, stored data in PostgreSQL, and created reports to highlight key insights. Collaborated with teams to refine data collection methods and ensure data accuracy.
2023
An end-to-end business intelligence project covering the full data pipeline from raw data to executive reporting.
Phase 1 — Data Analysis (Python): Collected and cleaned retail sales data, handled 85K+ records including outlier detection and price segmentation, and performed exploratory analysis to surface trends in product performance, customer behavior, pricing, and regional sales patterns.
Phase 2 — Business Intelligence (Power BI): Built a 24-page interactive Power BI report organized across 11 analytical sections: Performance Review, Product Performance Analysis, Product Lifecycle, Trends Over Time, Regional Analysis, Price Distribution, Customer Behavior, Customer Lifetime Value, Repeat Purchase Rate, Retention Rate, and Conversion Rate. Delivered KPI scorecards, dynamic charts, maps, funnels, and drill-through pages to simulate a real-world client BI deliverable.
Tools: Python (Pandas, NumPy), SQL, Power BI, DAX
View full report →
2025
Learned to clean, organize, and analyze business data using Excel, Power Query, and Power Pivot. Gained practical experience in building interactive dashboards and reports in Power BI to visualize KPIs, track performance, and support data-driven decision-making.
2025
Completed a government-supported training focused on applying AI and Data Science to solve practical business and real-world problems. Gained hands-on experience with Python, data preprocessing, model development, and performance evaluation. Learned key concepts of machine learning, artificial intelligence, and data visualization to extract insights and make data-driven decisions.
2024
Completed a comprehensive 12-course program covering Python, SQL, Data Analysis, Data Visualization, and Machine Learning. Gained hands-on experience in applying data science techniques to real-world business problems.
I turn raw, complex data into clear business intelligence — building dashboards, writing queries, and delivering insights that help teams make faster, better decisions.
Design and build interactive dashboards with KPI scorecards, slicers, drill-throughs, and performance reports. Translate business requirements into visual BI solutions that help teams monitor what matters.
Write efficient SQL queries for data extraction, aggregation, filtering, and reporting across relational databases including PostgreSQL and MySQL. Comfortable working with large, multi-source datasets.
Use Python (Pandas, NumPy) to automate data cleaning, transformation, and preparation workflows — handling missing values, duplicates, outliers, and multi-format data sources.
Build and maintain data pipelines that move raw data from source to reporting-ready format. Experience connecting APIs, CSVs, and databases into structured, reliable data flows.
Ensure datasets are accurate, complete, and consistent before analysis. Skilled in identifying and resolving data quality issues that compromise reporting reliability.
Translate complex datasets into clear findings through dashboards, written reports, and data storytelling — making insights accessible to both technical and non-technical stakeholders.
Here are some of my selected works I have done lately. Feel free to check them out.
“Zaheera showed an excellent aptitude for research and analysis. She worked independently, met all expectations consistently, and will be a valuable asset to any organization requiring analytical thinking and commitment to impact.”
Muhammad Ali Nafees
CEO, BYTEAIM
“Thank you very much for the excellent work. I truly appreciate the quality and attention to detail. It’s been a pleasure working with you, and I look forward to future collaborations."
Zuhal Yeşikaya Soylu
Fiverr Client
I’m happy to connect and collaborate on data-driven projects. Let’s turn your data into actionable insights. Email Me to get started.
