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Akram Mubeen

@akrammubeen

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Data analyst and BI specialist driving analytics, forecasting, and automation for operations.

Pakistan

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What I'm looking for

I seek a role leveraging analytics, BI and automation to drive operational improvements, stakeholder collaboration, and scalable data solutions.

I am a data analyst and BI specialist with hands-on experience delivering SQL-driven analysis, forecasting, dashboard ownership, and decision support across large-scale manufacturing and FMCG environments. I have led digital transformation and automation initiatives, built ETL pipelines and predictive models, and translated advanced analytics and ML outputs into actionable insights for operations, planning, safety, and financial performance.

My work has included stakeholder collaboration on regional and global reporting, deploying dashboards and version-controlled reports, and leveraging cloud and big-data platforms to improve decision-making speed, production quality, and resource allocation. I combine technical skills in Python, SQL, Power BI, Databricks, and LLM/text analytics with a results-focused approach to reduce cycle times, errors, incidents, and forecasting inaccuracies.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst (Analytics & Automation)

Current

Procter and Gamble

Feb 2024 - Present (2 years)

Led digital transformation and automation initiatives reducing process cycle times 30% and manual errors 35%; built ETL pipelines and dashboards that improved decision-making speed 40% and raised production quality and planning accuracy 20%.

SQL Databricks Apache Spark Power Platform Power BI ETL

Current

Freelance Data Analyst

Current

Freelance

Oct 2019 - Present (6 years 4 months)

Delivered 30+ analytics projects for marketing and operations clients, providing forecasting, reporting, and process-improvement insights to drive measurable client outcomes.

SQL Python Excel Power BI Tableau Reporting Forecasting

Data Analyst

Naseem Foods International

Nov 2022 - Aug 2023 (9 months)

Optimized sales and inventory forecasting via ML and time-series models, improving forecast accuracy 15% and supply efficiency 15% while standardizing datasets to increase data accuracy 25%.

Python SQL ARIMA SARIMA Gradient Boosting Forecasting Data Cleaning Inventory Planning

Data Science Associate

Al-Nafi

Jan 2022 - Sep 2022 (8 months)

Contributed to IBM Watson integration improving transcription accuracy 25% and deployed Looker KPI dashboards that improved performance visibility 15%; automated data pipelines across 50+ datasets.