R
Experienced and dedicated professional in digital transformation, research, and system development, with a strong track record of achieving company goals and driving organizational improvements. Adaptable and skilled in working under pressure, fostering a collaborative and empowering work culture. Proven relationship-building abilities with diverse stakeholders in fast-paced settings.
Digital Transformation
R
SPSS
Microsoft Office Suite
Project Management Tool (JIRA)
MS - SQL
Microsoft Certified: Dynamics 365 Fundamentals (ERP) • Microsoft
Playing Cricket
Travelling
“A hybrid demand forecasting model for greater forecasting accuracy: the case of the pharmaceutical industry” Siddiqui, R., Azmat, M., Ahmed, S. and Kummer, S., 2021, September. A hybrid demand forecasting model for greater forecasting accuracy: the case of the pharmaceutical industry. In Supply Chain Forum: An International Journal.
https://doi.org/10.1080/16258312.2021.1967081
“A comprehensive assessment of hybrid forecasting models to improve supply chain efficiency: the application of Mode and PERT technique as deterministic factors” Presented in the Logistics Research Network Conference – 2022, held at Aston University and selected as one of the best papers for publication in the International Journal of Logistics Research and Applications special edition. (In Publication Process)
Microsoft Certified: Dynamics 365 Fundamentals (ERP) • Microsoft
Certified Project Manager ERP Implementation • Sidat Hyder Morshed Associates
Certified Supply Chain Analyst • Institute of Supply Chain Educational Alliance- USA
Microsoft Dynamics AX 2012 Trade and Logistics • Microsoft
“A hybrid demand forecasting model for greater forecasting accuracy: the case of the pharmaceutical industry” Siddiqui, R., Azmat, M., Ahmed, S. and Kummer, S., 2021, September. A hybrid demand forecasting model for greater forecasting accuracy: the case of the pharmaceutical industry. In Supply Chain Forum: An International Journal.
https://doi.org/10.1080/16258312.2021.1967081
“A comprehensive assessment of hybrid forecasting models to improve supply chain efficiency: the application of Mode and PERT technique as deterministic factors” Presented in the Logistics Research Network Conference – 2022, held at Aston University and selected as one of the best papers for publication in the International Journal of Logistics Research and Applications special edition. (In Publication Process)