Noor Kamal
@noorkamal
Data scientist driving insights and innovation for impactful business decisions.
What I'm looking for
I am a data scientist with a strong background in data modeling, exploratory data analysis, and predictive analytics. My work has directly influenced over $30M in revenue through the development of over 20 predictive models for pest prediction across multiple regions. I pride myself on my ability to translate complex data into actionable insights, which I effectively communicate to both technical and non-technical stakeholders.
Throughout my career, I have demonstrated my expertise in machine learning and data visualization, achieving significant results such as an 80% accuracy in pest pressure forecasting through image recognition models. My innovative approach has led to a patented method for measuring insect flight trends, showcasing my commitment to advancing pest management solutions. I thrive in collaborative environments and have successfully partnered with cross-functional teams to implement data quality best practices, ensuring the reliability of datasets that drive strategic business decisions.
Experience
Work history, roles, and key accomplishments
Senior Data Scientist
FMC Corporation
May 2021 - Oct 2024 (3 years 5 months)
Developed and maintained over 20 predictive models for pest prediction, impacting $30M in annual revenue. Enhanced decision-making with image recognition models and patented innovative techniques for pest management. Communicated insights to executives and implemented data quality best practices.
Data Scientist (Contractual)
Ad-Lib.io
Jan 2021 - Apr 2021 (3 months)
Streamlined targeted advertisements using text analytics and NLP solutions. Built predictive models to analyze campaign performance and optimized resource allocation for improved ROI.
Data Science Consultant
Adelphi Research Global
Aug 2020 - Apr 2021 (8 months)
Implemented customer segmentation strategies for pharmaceutical clients, deploying advanced quantitative research methodologies to influence marketing decisions.
Data Scientist
Enfocus
Oct 2020 - Feb 2021 (4 months)
Designed a churn prediction model that improved customer retention probability by 300%. Delivered significant ROI on retention campaigns through data-driven strategies.
Project Director
Adelphi Research Global
Jan 2017 - Sep 2019 (2 years 8 months)
Spearheaded global projects across 15+ countries, optimizing decision-making through customized analytics and conducting gap analyses for operational efficiencies.
Quantitative Lead & Analyst
World Health Organization (WHO)
Oct 2018 - Mar 2019 (5 months)
Led quantitative research on contraceptive needs assessments, defining methodologies for data collection and analysis to support global health initiatives.
Education
Degrees, certifications, and relevant coursework
IÉSEG School of Management
Master of Science, Big Data Analytics
2019 - 2021
Activities and societies: Won a Hackathon for innovative solutions.
Completed a Master of Science in Big Data Analytics, focusing on projects such as client sorting and fraud detection using Python and Tableau, and building a real-time dashboard for stock performance prediction.
LUMS
Bachelor of Science, Management Science
2012 - 2016
Earned a Bachelor of Science in Management Science, with coursework in Business Analytics, Data-Driven Marketing, Consumer Behavior, and Decision Analysis.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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