Data Science and Machine Learning Senior Associate with 8+ years in Data Analytics & Software Engine
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Results-driven professional with 8+ years in data analytics, software engineering, and business strategy. Led procurement and materials analytics across 75+ countries at Halliburton, delivering data-driven optimization, KPI frameworks, and executive insights for strategic decisions.
Rochester Institute of Technology
MSc. · Data Analytics - AI & ML
August 1, 2023 – June 30, 2025
American University of Sharjah
BSc. · Computer Engineering
August 1, 2011 – June 30, 2015
Halliburton
Sr. Regional Supply Chain Analyst
February 1, 2025 – November 1, 2025
India
Rochester Institute of Technology
Senior Data Science Researcher
January 1, 2024 – Present
India
Halliburton
Regional Supply Chain Analyst
October 1, 2023 – January 1, 2025
India
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Supervised Machine Learning
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March 1, 2025 – Present
Data Science for Business Program
Harvard Business School
March 1, 2024 – Present
Diploma in Project Management
Alison
January 1, 2023 – Present
AWS Academy Cloud Foundations
Amazon Web Services
February 1, 2021 – Present
Cultural Fit Analysis
The candidate's diverse experience across different industries (supply chain, e-commerce, software development, finance, academia) and roles (analyst, software engineer, researcher, teaching assistant) indicates a broad perspective and adaptability. Their continuous pursuit of education and certifications (MSc., Deep Learning AI, Harvard Business School) demonstrates a strong commitment to continuous learning and professional development, which aligns well with a growth-oriented culture. The blend of technical and business roles suggests an ability to bridge the gap between technical solutions and business needs, fostering cross-functional collaboration.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their various roles in data analysis and software engineering. Their experience in leading procurement and materials analytics, supporting executives, and standardizing KPI frameworks indicates strong communication and stakeholder management abilities. The teaching assistant role further highlights their capacity to explain complex technical concepts. The diverse project experience suggests adaptability and a proactive approach to learning and applying new technologies.