Noor KamalNK
Open to opportunities

Noor Kamal

@noorkamal

Data scientist driving insights and innovation for impactful business decisions.

United States

What I'm looking for

I seek a role that fosters innovation and collaboration, allowing me to leverage my data science skills to drive impactful business outcomes.

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

FC

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.

AD

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.

EN

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.

W(

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 logoIM

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 logoLU

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

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