About
I am a data analyst with experience working in freelance and co-op roles since at least May 2022, applying data analytics and visualization skills to optimize business processes and decision-making. Most recently, I worked with a real estate management client and DTE Energy's Storm Response Team, contributing to improved financial tracking and storm response efficiency.
My work spans tools and languages such as Power BI, Power Automate, Python, SQL, and Microsoft Excel. I have built cross-platform applications, automated reporting systems, and developed interactive dashboards that increased profits, reduced manual work, and enhanced operational transparency. I also have experience integrating APIs and cleaning large datasets to deliver actionable insights.
Experience
Data Analyst (Freelance)
Dec 2023 – Apr 2025
Developed a cross-platform application that allows users to organize and track tasks efficiently. Key features include:
● Conducted in-depth analysis of monthly business expenses and individual property metrics (e.g., property value and maintenance costs) to optimize rental pricing, leading to a 15% increase in annual profits.
● Developed and automated monthly expense reporting system using Power BI and Power Automate, reducing manual data entry by 40% and improving financial tracking efficiency by 10%. Enhanced data accuracy by integrating real-time data sources, allowing for faster decision-making and better cost visibility.
● Analyzed rental market trends and optimized pricing strategies, increasing annual revenue by 10%.
Power BIPower AutomateData Visualization
Real Estate Management Client
Computer Science Co-Op - Data Analytics
May 2022 – Dec 2022
● Analyzed comprehensive state-wide storm data including outage reports, incident mappings, and response data to develop dynamic Power BI dashboards and optimize storm response processes, enhancing transparency and decision-making, resulting in a 36% decrease in storm response times.
● Developed dashboards and reports regarding team shifts to optimize rotations when responding to storms using Microsoft PowerBI/Power Query, and Microsoft Excel as well as Microsoft Forms.
● Leveraged Power Automate and Scheduled Refreshes to automate dashboard updates with real-time data, saving 1 hour daily and increasing overall productivity by 20%.
● Cleaned, organized, and formatted raw data from various sources such as Microsoft Forms to ensure accuracy and consistency for effective analysis and visualization.
Power BIPower AutomateMicrosoft Excel
DTE Energy - Storm Response Team
Education
Eastern University
Master of Business Administration · Business Analytics
2026
Wayne State University
Bachelor of Science · Computer Science
2023
Certifications
Google Data Analytics Professional
Google
Skills
Process AutomationCustomer ExperienceOperations AnalysisMarket AnalysisTrend AnalysisPredictive AnalyticsA/B TestingStatistical AnalysisPower QueryPivot TablesExcelTableauPower BIGitPower AutomateExploratory Data AnalysisData CleaningPythonSQLData Visualization
Languages
English (Native or bilingual proficiency)Bengali (Professional working proficiency)
