Open to opportunities

Shakil Islam

@shakilislam

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Data analyst and engineer delivering automated ETL, forecasting, and executive analytics with Python and Power BI.

Bangladesh

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What I'm looking for

I seek a role leveraging Python, ETL, and BI to build automated pipelines and dashboards, collaborate with leadership, and drive measurable operational improvements.

I am an analytics professional with 5+ years transforming complex datasets into operational intelligence using Python, SQL, Power BI, and AI-enabled analytics. I build scalable ETL pipelines, forecasting models, and automated QA systems that improve productivity, accuracy, and financial reporting for multi-project environments.

My work includes real-time dashboards, workforce and capacity-planning models, payroll automation, and ML-assisted annotation pipelines (YOLOv8) integrated via REST APIs. I partner with leadership to translate data into decisions, standardize reporting, and deliver measurable improvements in throughput, cost control, and SLA adherence.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst

Current

Quantigo AI

Dec 2023 - Present (2 years 2 months)

Engineered scalable analytics and ETL pipelines from Supervisely project data to deliver operational, quality, and cost insights; developed automated annotation QA and real-time workforce dashboards that improved reporting speed and accuracy.

Python ETL REST APIs Power BI Supervisely YOLOv8 Django REST Framework Forecasting Data Modeling

Data Analyst

Quantanite

Oct 2020 - Dec 2023 (3 years 2 months)

Led operational analytics initiatives to improve workforce productivity, quality, SLA adherence, and cost efficiency; built automated data pipelines and executive dashboards for near-real-time staffing and performance visibility.

Python Looker Studio Data Pipelines Dashboards Data Validation Reporting

Education

Degrees, certifications, and relevant coursework

Green University of Bangladesh

Bachelor of Science, Computer Science and Engineering

Grade: CGPA: 3.33

Completed a Bachelor of Science in Computer Science and Engineering with a CGPA of 3.33, focusing on software development, data analysis, and engineering fundamentals.