About Me
I’m a data analyst passionate about uncovering insights from data across domains, whether it’s business, health, or technology. Skilled in SQL, Power BI, Excel, and cloud platforms, I transform complex datasets into clear, actionable solutions. I enjoy uncovering patterns in data and turning them into clear stories that inform strategy and drive impact.
Core Skills
I use a mix of technical and analytical skills to explore data, build dashboards, and turn numbers into insights that matter.
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Data Analysis:
SQL, Data Cleaning, Data Transformation, Exploratory Data Analysis (EDA) -
Visualization & BI:
Power BI, Data Modeling, DAX, Dashboard Design, Reporting -
Spreadsheets:
Excel, Pivot Tables, Lookups, Data Validation -
Cloud Platforms: Google BigQuery, Databricks (Data Storage, Data Processing, Analytics)
Here are selected projects showcasing my ability to analyze data, build dashboards, and deliver actionable insights using real-world datasets.
This analysis provides a clear overview of Toy Bear sales performance using an interactive Power BI dashboard. It shows strong business growth, with $1.94M in revenue and $1.13M in net profit, driven by high-performing products and effective online marketing. The dashboard highlights peak sales periods, customer purchasing behavior, and low refund levels, helping stakeholders quickly understand what drives sales and profitability.
This dashboard provides a clear view of flight booking and travel patterns across airlines and destinations.
It highlights booking volume, revenue, and average ticket value to show overall performance.
Users can compare airline performance and identify destinations with higher booking activity.
It also explores business vs. personal travel and one-way vs. return journeys.
Interactive filters make it easy to explore different airlines, destinations, travel purposes, and periods.
Overall, the dashboard turns flight data into simple insights on how people travel, where they go, and how much they spend.
This project showcases various sales analysis dashboards for Adidas, including sales by state, women's apparel sales, male apparel, product analysis, and sales and profit trend analysis.
View the live version
I built a landing page using Wix and implemented end-to-end user behavior tracking with Amplitude to measure and analyze conversion performance.
The analytics setup tracks key user interactions, including page views, product clicks, sign-up actions, and request-demo clicks. A structured conversion funnel was created to monitor user progression across each stage, with real-time validation performed using Amplitude Live View to ensure data accuracy.
This project enables analysis of user journeys, identification of drop-off points, and evaluation of engagement patterns, supporting data-driven business decisions, product optimization, and UX improvement initiatives.
Tools & Techniques: Wix, Amplitude, Event Tracking, Funnel Analysis, Product Analytics
The Data Professional Survey is a global survey of tech professionals. The goal was actually to practice data cleaning, modeling, and visualization and to transform raw survey responses into meaningful insights.
Using Power BI to build a fully interactive dashboard that highlights:
Key demographic trends::
Career path Storyline
Salary patterns and job satisfaction
Tools and technologies professionals prefer
The HR Analysis Dashboard is a Dashboard analyzing a sample dataset of Human resources of a Company.
Power query was used for Cleaning dataset as well as reconstructing the dataset for easy Analysis, measures were created for better presentation of Information.
Major goal is building a dashboard presenting clear insights and information at a glance for both techies and non techies.
View the live version
SuperstoreDB1 provide Insight on a Superstore sample Dataset, that answers questions highly portraying the profitability of the Business, using SQL Server This particular Superstore Dataset answers the Questions of Yearly Profit, Number of Orders, Total sales and others intended to monitor the Performances of the Business among others
My Work Process
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Data Collection – Gather data from relevant sources
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Data Understanding / Exploration – Examine the data and identify patterns or issues
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Data Cleaning / Preparation – Handle missing values, duplicates, and inconsistencies
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Data Analysis / Modeling – Analyze the data using statistics, queries, or models
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Data Visualization – Create charts, dashboards, or graphs to show insights
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Interpretation / Insights – Draw conclusions and actionable insights
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Decision Making / Reporting – Present findings to stakeholders for action