Seasoned Data Analyst and Power BI Developer with over 4 years of hands-on experience in designing and developing business intelligence solutions. Proven expertise in Power BI, SQL, DAX, Power Query Editor, and Tableau for creating insightful dashboards and interactive reports. Skilled in data modeling, data transformation, and integrating data from multiple sources to drive strategic decision-making. Strong analytical mindset, with a solid understanding of business requirements, and the ability to translate them into effective, data-driven solutions.
Business Intelligence Tools: Power BI, Tableau
Data Manipulation & Querying: SQL, DAX, Power Query Editor
Data Modeling: Star/Snowflake Schema, Relationships, Calculated Columns/Measures
Reporting and visualization: interactive dashboards, drill-through reports, and KPIs; data integration: merging data from Excel, SQL Server, CSV, and APIs
ETL Processes: Data cleansing, transformation, and loading
Soft skills: problem-solving, stakeholder communication, requirement gathering
Sales & Finance Analytics
QSC Client: QSC – Costa Mesa, Canada
Role: Power BI Developer
Environment: Power BI, Azure Data Factory, Python, SQL
Project Description:
QSC is a U.S.-based manufacturer specializing in audio, video, and control solutions, known for its Q-SYS networked AV platform. The objective was to develop a BI solution to analyze sales and financial performance data across regions
Responsibilities:
Collaborated with business stakeholders to analyze requirements and define business rules
Designed entity-relationship (ER) diagrams to model the data architecture
Developed robust semantic data models in Power BI, enabling dynamic reporting.
Created calculated columns, measures, and KPIs using complex DAX logic.
Performed end-to-end ETL processes including data cleansing, transformation, and loading using Azure Data Factory.
Utilized SQL and Python for data integration, advanced joins, and custom transformations
Delivered visually compelling and interactive dashboards to monitor sales trends and financial metrics
Online Store Analysis
Client: One Kings Lane – San Francisco
Role: Power BI Developer
Environment: Power BI (Desktop & Service), Oracle
Project Description:
One Kings Lane is a premier online home décor retailer offering exclusive designer pieces, vintage finds, and curated home goods. The goal was to develop a reporting solution to analyze customer behavior, product performance, and sales trends.
Responsibilities:
Connected Power BI to Oracle databases to extract and analyze large volumes of sales and product data
Developed interactive dashboards and reports to track KPIs, such as revenue, conversion rates, and top-performing product categories
Designed intuitive report visuals using Power BI Desktop and published dashboards to Power BI Service for business users
Created data models using star schema, and implemented calculated columns and measures with DAX
Utilized Power Query for data transformation, filtering, and merging multiple datasets, and collaborated with business teams to gather requirements and deliver actionable insights for marketing and inventory strategies
Sales Analytics and Reporting
Client: Farmfoods – United Kingdom
Role: Power BI Developer
Enviroment: Power BI, SQL, Oracle
Project Description:
Farmfoods is a British frozen food and grocery supermarket chain headquartered in Cumbernauld, Scotland, with over 300 stores across the UK. The project aimed to develop an end-to-end sales analytics solution to enhance performance tracking and business decision-making
Responsibilities:
Developed and deployed interactive Power BI dashboards and visualizations for daily sales, store-wise performance, product trends, and inventory tracking
Performed data extraction, transformation, and loading (ETL) using Oracle SQL to consolidate large volumes of sales data
Designed efficient data models and relationships to support real-time reporting
Created DAX measures for key performance indicators (KPIs), such as total sales, average basket value, and sales growth
Collaborated with business stakeholders to gather requirements and deliver customized reporting solutions
Conducted performance optimization of SQL queries and Power BI reports for faster loading times