
Zeeshan Akram
Rawalpindi, Pakistan
Zeeshan Akram
Data Analytics & BI Dashboards
Category : Artificial intelligence (AI)
Do you have data but struggle to extract clear business insights?
I am a Data Analyst who turns messy spreadsheets and databases into executive-level Business Intelligence tools. I don't just build charts; I engineer automated, interactive Power BI dashboards that help you track KPIs, understand business health, and make profitable decisions.
What I Can Build For You:
Executive Power BI Dashboards:
Stop staring at static Excel sheets. I build live, boardroom-ready dashboards with clean, modern UI/UX. Click, filter, and instantly see your Revenue, Profit Margins, and Year-over-Year (YoY) growth.
Deep Data Analysis & SQL Extraction:
I dig into your raw data to find hidden patterns—like which products drain your margins, which regions drive growth, and where your operational bottlenecks are.
Data Cleaning & Automated Pipelines:
I take your messy, unformatted data and use Power Query, Excel and Python to clean, structure, and automate it so your reports update flawlessly.
My Technical Toolkit:
Business Intelligence: Power BI, DAX, Power Query.
Databases & Queries: SQL (PostgreSQL, MySQL).
Data Wrangling: Python, Pandas, Advanced Excel.
Why Me?
I focus on the "Data-to-Ink" ratio—meaning no cluttered visuals, just pure, actionable business insights. I have a proven track record of designing corporate-grade BI solutions with advanced Time-Intelligence tracking.
Let's turn your data into your biggest asset. Contact me to discuss your project!
I am a Data Analyst who turns messy spreadsheets and databases into executive-level Business Intelligence tools. I don't just build charts; I engineer automated, interactive Power BI dashboards that help you track KPIs, understand business health, and make profitable decisions.
What I Can Build For You:
Executive Power BI Dashboards:
Stop staring at static Excel sheets. I build live, boardroom-ready dashboards with clean, modern UI/UX. Click, filter, and instantly see your Revenue, Profit Margins, and Year-over-Year (YoY) growth.
Deep Data Analysis & SQL Extraction:
I dig into your raw data to find hidden patterns—like which products drain your margins, which regions drive growth, and where your operational bottlenecks are.
Data Cleaning & Automated Pipelines:
I take your messy, unformatted data and use Power Query, Excel and Python to clean, structure, and automate it so your reports update flawlessly.
My Technical Toolkit:
Business Intelligence: Power BI, DAX, Power Query.
Databases & Queries: SQL (PostgreSQL, MySQL).
Data Wrangling: Python, Pandas, Advanced Excel.
Why Me?
I focus on the "Data-to-Ink" ratio—meaning no cluttered visuals, just pure, actionable business insights. I have a proven track record of designing corporate-grade BI solutions with advanced Time-Intelligence tracking.
Let's turn your data into your biggest asset. Contact me to discuss your project!
Portfolio
- Turn your raw data into a Fortune level decision-making tool. Stop staring at confusing spreadsheets. I will convert your raw data (Excel, CSV, or SQL) into a professional, automated Business ...
Delivered comprehensive Data Analytics projects, ranging from Exploratory Data Analysis (EDA) to Executive Business Intelligence reporting.
Business Intelligence & Dashboards: Engineered a Fortune 500-level Superstore Sales BI Dashboard in Power BI. Implemented advanced DAX (Time-Intelligence, YoY tracking) and custom corporate UI/UX to replace static Excel reports.
Data Engineering & Wrangling: Handled complex data cleaning and transformation using Power Query, SQL, and Python (Pandas) to ensure 100% data accuracy for reporting.
Actionable Analytics: Applied segmentation and forecasting techniques to translate raw e-commerce and energy consumption data into clear business strategies.
Technical Stack: Power BI, SQL, DAX, Power Query, Python, Pandas, and Advanced Excel.
Quality Standards: Maintained a professional repository with comprehensive documentation, clean data models, and strict UI/UX design principles.
Business Intelligence & Dashboards: Engineered a Fortune 500-level Superstore Sales BI Dashboard in Power BI. Implemented advanced DAX (Time-Intelligence, YoY tracking) and custom corporate UI/UX to replace static Excel reports.
Data Engineering & Wrangling: Handled complex data cleaning and transformation using Power Query, SQL, and Python (Pandas) to ensure 100% data accuracy for reporting.
Actionable Analytics: Applied segmentation and forecasting techniques to translate raw e-commerce and energy consumption data into clear business strategies.
Technical Stack: Power BI, SQL, DAX, Power Query, Python, Pandas, and Advanced Excel.
Quality Standards: Maintained a professional repository with comprehensive documentation, clean data models, and strict UI/UX design principles.
Building a strong foundation in Computer Science with a specialized focus on Data Analytics and Business Intelligence.
Core Competencies: Relational Databases (SQL), Data Modeling, Advanced Data Visualization, and Object-Oriented Programming.
Practical Application: Leveraging analytical principles to build scalable, production-grade Power BI reporting systems, bridging the gap between raw, messy data and executive decision-making.
Core Competencies: Relational Databases (SQL), Data Modeling, Advanced Data Visualization, and Object-Oriented Programming.
Practical Application: Leveraging analytical principles to build scalable, production-grade Power BI reporting systems, bridging the gap between raw, messy data and executive decision-making.
- Data Visualization with Python 02/07/2025Advanced training in communicating insights through data storytelling and visualization.
Core Libraries: Mastered Matplotlib, Seaborn, and Folium for static and interactive plotting.
Dashboarding: Created interactive dashboards and geospatial maps to visualize complex datasets.
Application: Transformed raw data into clear, visual narratives to support business decision-making. - Natural Language Processing with Classification and Vector Spaces 29/06/2025Specialization in NLP, focusing on how machines understand and process human language.
Core Skills: Sentiment Analysis, Naive Bayes, Vector Space Models, and Word Embeddings (Word2Vec).
Projects: Built a sentiment analysis model to classify tweets and used vector spaces to find relationships between words. - Databases and SQL for Data Science with Python 29/06/2025Comprehensive training in SQL and Relational Database Management Systems (RDBMS).
Core Skills: Writing complex SQL queries (SELECT, JOIN, COUNT), database design, and accessing databases from Python using Jupyter Notebooks.
Tools: SQL Magic, Cloud Databases, and Python integration. - Data Analysis with Python 27/06/2025Deep dive into the Data Science data wrangling pipeline.
Core Skills: Data cleaning, manipulation, and analysis using Pandas and NumPy.
Techniques: Handling missing values, data formatting, and exploratory data analysis (EDA) to derive insights from raw datasets. - Machine Learning with Python 23/06/2025Practical application of Machine Learning algorithms using Python libraries.
Core Skills: Supervised (Classification, Regression) and Unsupervised Learning (Clustering/K-Means).
Stack: SciPy, Scikit-Learn, and Hierarchical Clustering for customer segmentation. - Supervised Machine Learning: Regression and Classification 22/06/2025Mastered the fundamentals of Machine Learning with Andrew Ng. Built and trained supervised learning models for prediction and binary classification tasks.
Core Skills: Linear & Logistic Regression, Gradient Descent, Regularization to prevent overfitting, and Scikit-Learn implementation.
Application: Applied algorithms to real-world datasets for price prediction and medical diagnosis classification.
- 🇬🇧 English
- 🇮🇳 Hindi
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