Maimoona Sarfraz Butt

Intro

Dynamic Data Analyst with an MSc in Data Science and hands‑on experience delivering end‑to‑end data solutions across ETL pipelines, analytics, automation, and business intelligence. Skilled in transforming complex datasets into accurate, high‑quality insights that support strategic, evidence‑based decision‑making. Experienced across ETL development, data modelling, statistical analysis, dashboard design, and machine learning. Strong technical capability with Talend Open Studio, SSIS, SQL Server Management Studio (SSMS), Python, Excel, Power BI, Tableau, and Visual Studio, with a proven record of improving data quality, optimising workflows, and enhancing reporting efficiency. Core Strengths Automated ETL pipeline development using Talend, SSIS, SQL, and Python Data cleaning, validation, transformation, and quality improvement Dashboard and report development in Power BI, Tableau, and Excel Advanced SQL including joins, CTEs, and window functions Exploratory data analysis, statistical modelling, and predictive analytics Clear communication of insights to technical and non‑technical stakeholders Technical Skills ETL & Databases: Talend Open Studio, SSIS, SQL Server, MySQL, PostgreSQL, Snowflake, MongoDB Programming: Python (Pandas, NumPy, Scikit‑learn, TensorFlow), Bash/Shell BI & Analytics: Power BI, Tableau, Excel (Power Query, Pivot Tables, Lookups) Development & Cloud: Visual Studio, Git/GitHub, Jupyter, AWS (EC2, S3, IAM), Azure basics Key Projects London Fire Brigade Analytics: Cleaned 120k+ records, improved data quality by 32%, and delivered borough‑level incident insights. UK Government ETL & Dashboarding: Built SSIS pipelines reducing processing time by 41% and developed Tableau dashboards increasing insight visibility by 60%. Diabetic Time‑Series Forecasting: Achieved 87% accuracy using TensorFlow with engineered statistical features. PCB Defect Detection (YOLOv8/YOLOv9): Delivered 97.5% mAP across six defect types and reduced training time by 34%. Talend ETL Pipelines: Designed and deployed customer, sales, and ratings pipelines using Talend and SSMS, ensuring schema alignment and reliable online/offline data mapping. Motivated by data quality, automation, and building scalable systems that make analytics faster, more reliable, and more accessible. Committed to continuous learning and solving complex data challenges in collaborative, high‑impact environments.

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