Greater Chicago Area
Abdullah is known for his passion for strategically fixing problems, digitalize the processes and fueling growth. Results driven, analytical and highly motivated supply chain consultant with 5+ years experience in solving real-life complex problems. Experienced in designing supply chain planning solutions to transform the client’s processes. Specialties: Sales & Operations Planning, Demand Planning & Forecasting, Inventory Management, Supply Chain Analytics, Network Design, Business Intelligence, Project Management
- Led the end-to-end implementation of Decision Intelligence skill in Area, driving operational efficiencies in the expiring inventory process in the beverage industry and delivering $1M in annual dump-reduction savings.
- Served as a trusted advisor to clients in demand planning, forecasting, helping drive operational efficiency and improved forecasting accuracy. - Designed and implemented Sales & Operations Planning (S&OP) processes, including comprehensive training program, to enhance mid to long-term planning. - Provided strategic guidance to the clients in network design and optimization, supporting clients in shaping their future-state supply chain networks.
- Provided analytics consulting to a large food company to reduce internal failures at its plants. Assessed manufacturing processes, visualized production lines via Tableau, and designed data driven framework achieving 0.1% failure rate.
- Analyzed customer engagement on 100+ TV channels across all major social media platforms. Performed data analysis and visualization of social media user behavior using SQL and PowerBI to communicate key insights to the leadership - Worked with product managers to collect business requirements and provided analytics insights to business partners, resulting in a 16% increase in monthly engagement score. Developed real time TV ratings model using machine learning techniques in Python to digitalize marketing process with data-driven advertisement strategies
- Analyzed customer engagement on 100+ TV channels across all major social media platforms. Performed data analysis and visualization of social media user behavior using SQL and PowerBI to communicate key insights to the leadership - Worked with product managers to collect business requirements and provided analytics insights to business partners, resulting in a 16% increase in monthly engagement score. Developed real time TV ratings model using machine learning techniques in Python to digitalize marketing process with data-driven advertisement strategies
- Helped Unilever’s digital transformation by designing a new forecasting tool using neural networks implemented in R and VBA. This tool has improved sales forecast accuracy by 15% to 20% in the “Lipton” tea category