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 Detail-focused Data Analyst with knowledge in data warehousing, process validation and business needs analysis. Proven to understand customer requirements and translate into actionable project plans. Dedicated and hard-working with passion for Data Science and Machine Learning. 


  More than 10 years of problem-solving and being a passionate operations research/supply chain analyst, supervisor, and business analyst. (Planning, researching, supervising, modelling, and solving optimization problems).
  I have more than 10 years of experience in quantitative data analysis and Over 4 years of experience in Logistics and Warehouse Management. 5 years’ experience in improving production systems using Machine Learning techniques (supervised and unsupervised learning in Python and R studio).
  8 years’ experience in mentoring and providing industry solutions to projects related to resource allocation, developing intelligent models and optimization. Over 5 years of experience using Java, CPLEX, and AMPL (mathematical optimization software) to model and solve transportation/manufacturing/service-related use problems. '
  4 years of experience with R Studio to analyse and visualize industry-related electricity pricing problems. More than 4 years of experience improving efficiency in Production processes by more than 25% with simulation software such as Arena and Simio.
  Registered Professional Engineer (Industrial Engineering) with the Engineering Council of South Africa (ECSA). Regular Membership : Institute for Operations Research and Management Sciences ( INFORMS)


 Results-driven professional with extensive experience in statistical analysis and data visualization, dedicated to driving production improvements. Proficient in leveraging advanced analytical tools to uncover and resolve operational inefficiencies, ensuring optimal performance. Proven ability to deliver actionable insights that empower strategic decision-making and foster operational excellence across diverse teams. Committed to enhancing processes and contributing to organizational success through data-driven strategies. 

Analytical and detail-oriented Data Analyst with 1.8 years of professional experience at Foxconn in production and inventory management. Skilled in Business Analysis, SQL, Power BI, Python, and Advanced Excel with proven ability to translate business requirements into actionable insights. Completed a Data Science certification from Odin School, gaining expertise in Machine Learning, AI, and Data Visualization. Strong problem-solver with effective communication skills, passionate about delivering data-driven solutions to improve business performance.
Seasoned collaborator experienced in meeting needs, improving processes and exceeding requirements in team environments. Diligent worker with strong communication and task prioritization skills.
Detail-focused Data Analyst with knowledge in data warehousing, process validation and business needs analysis. Proven to understand customer requirements and translate into actionable project plans. Dedicated and hard-working with passion for Big Data.

Muhammad Ibrahim

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