
kulsoombibi
KPI Reporting, Financial Analysis, Data Cleaning, Power Query Automation
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Portfolio
Esperienza lavorativa
Data Analyst
calibreon international • Lavoratore autonomo
Mar 2025 - Present • 1 yr 5 mos
Specializing in transforming raw corporate data into interactive business insights. Key responsibilities include: • Financial & Retail Benchmarking: Conduct in-depth analyses of industry leaders, tracking 5-year trends in revenue growth, profitability, and market stability. • Advanced Dashboarding: Design dynamic Power BI and Excel dashboards that visualize complex KPIs such as Liquidity Ratios (Quick Ratio), Debt-to-Equity, and Operational Efficiency. • Data Automation: Streamline manual reporting with automated ETL workflows using Power Query, reducing errors and saving hours of manual effort. • Actionable Insights: Provide concise, strategic summaries that help stakeholders interpret year-over-year performance and financial health. • Quality Assurance: Ensure all reports are audit-ready through comprehensive data cleaning and validation processes.
Data Analyst
Associate Development (Pvt). Ltd. • Full time
Sep 2024 - Feb 2025 • 5 mos
I managed data operations for major national projects including KPHCIP, SCALE, and Karandaaz. My core responsibilities included: • Designing and implementing structured data cleaning processes in Excel, achieving 99% data accuracy. • Automating interactive dashboards using Power BI and Excel, which reduced manual reporting time by 40%. • Tracking key performance indicators (KPIs) in education, health, and financial inclusion sectors to support real-time decision-making. • Collaborating with technical staff to transform complex field-level data into actionable business insights.
Data Analyst Trainee
Atomcamp • Part time
Nov 2023 - Apr 2024 • 5 mos
Worked on diverse real-world datasets to master the end-to-end data analysis process. • Performed Exploratory Data Analysis (EDA) to uncover hidden trends and business patterns using Python (Pandas) and MySQL. • Developed interactive and dynamic visualizations in Power BI to represent complex data findings. • Mastered data validation and cleaning techniques to ensure high-quality data for predictive modeling.