Muhammad Anas
@muhammadanas14
I’m a data analyst and BI engineer turning complex data into executive-ready insights.
What I'm looking for
I’m a results-driven Data Analyst and BI Engineer with 3+ years of experience transforming complex datasets into actionable business intelligence. I automate ETL and reporting workflows to reduce turnaround time and deliver insights with clarity—especially in banking, insurance, and fintech—using Microsoft Power BI, Microsoft Fabric, SQL, and Python.
I also build applied AI solutions, including NLP models for insurance claims classification and AI agents for automated data quality checks, anomaly detection, and financial commentary generation. In cross-functional partnerships with data, finance, and operations teams, I align analytics outputs to business goals and help stakeholders make faster, better decisions.
Experience
Work history, roles, and key accomplishments
Assistant Manager, Data Analyst
Square Trade Europe (IBEX)
May 2025 - Present (1 year 3 months)
Designed an end-to-end automation pipeline to reduce the monthly reporting cycle from 1.5 days to 0.5 days and enabled single-click report execution. Built an NLP insurance claims classification model (80% accuracy) and AI agents for automated data quality checks, anomaly detection, and executive-ready insights.
Data Analyst & BI Engineer
Dubai Islamic Bank Pakistan (BCI)
Jul 2024 - May 2025 (10 months)
Automated data extraction pipelines in Python, reducing execution time from 5 hours to 30 minutes (90% improvement). Migrated and automated 100+ business operation reports into Power BI and Python, and built scheduled ETL pipelines in Python and SSIS.
Data Analyst
Data Check Limited
Feb 2024 - Jul 2024 (5 months)
Performed exploratory data analysis (EDA) to identify patterns, trends, and anomalies in credit-related datasets. Built interactive Power BI dashboards for banking loan data and ensured data accuracy through collection, cleaning, and validation.
Data Analyst
Applied Data Lab
Jan 2023 - Feb 2024 (1 year 1 month)
Applied data cleaning methods including outlier management, missing value imputation, and statistical validation to ensure data integrity. Created visualizations with Matplotlib and Seaborn and used scikit-learn for machine learning workflows, including feature engineering and preprocessing.
Education
Degrees, certifications, and relevant coursework
University of Karachi
Bachelor of Science, Computer Science
2020 - 2023
Bachelor of Science in Computer Science at the University of Karachi (UBIT), completed between 2020 and 2023.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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