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Noor Aiysah

Data Science Enthusiast

Based in Selangor, Malaysia

About

Passionate data scientist with a Master's in Data Science from the University of Manchester and 2 years of hands-on experience as a data analyst. Dedicated to crunching data to unearth meaningful insights and adept at weaving compelling narratives to convey complex information. Enthusiastic about devising solutions that streamline processes and enhance efficiency for all.

Skills

Projects

Experience

Jun 2023 - Aug 2023

Data Scientist Student at Peak AI

Developed a Mixed-Integer Linear Programming model to address the food aid allocation challenge encountered by a prominent Manchester-based food bank. The model encompassed four critical dimensions: fairness, wastage reduction, preference accommodation, and effectiveness optimization. The model's recommendations significantly mitigated food waste resulting from expiry, achieving an impressive ~70% reduction.

Feb 2023 - May 2023

Data Scientist Student at HACE

Working collaboratively with my team, we designed and implemented a probability model that depicts commodity trade flows. Our model was then brought to life via an interactive, user-friendly dashboard, aimed at enhancing the transparency and traceability of supply chains. This critical tool provides key insights, enabling companies to identify and assess potential risks of child labour involvement within their operational frameworks.

2021 - 2022

Data Insights Analyst at Carsome

I conducted comprehensive analyses and generated strategic, data-driven reports, empowering business teams. This encompassed customer segmentation analysis, optimizing ad targeting strategies, automating a weekly KPI performance report for top management to holistically monitor business health, conducting root cause analysis to address low-profit margin issues, and developing an operational efficiency framework to identify underperforming branches and guide strategic expansion initiatives. I effectively communicated key insights to teams across three countries, driving targeted projects for overall business improvement. Additionally, I adeptly handled ad hoc data requests, utilizing SQL for data wrangling and leveraging Tableau and Google Slides for insightful visualizations.

2020 - 2021

Audience and Market Insights Analyst

• Produced comprehensive analytical reports on social media performance to help clients manage reputation and craft social media strategies. • Developed and maintained good relationships with clients and is the lead point of contact for 4 main accounts. • Led the insights team to execute a market research project which involved interviews and online surveys to better understand a client’s target segment.

Education

2022- 2023

MSc Data Science at University of Manchester

Courses undertaken: - Statistics and Machine Learning 1: Statistical Foundations (R) - Understanding Database (MySQL, MongoDB) - Python for Business Analysis - Understanding Data and its Environment (ProvN) - Statistics and Machine Learning 2: AI, Complex Data, Computationally Intensive Statistics (Python) - Applied Data Science (Industry Engagement) - Simulation and Risk Analysis (Simul8) - Global Supply Chain Management

July 2017 - June 2020

Bachelor of Commerce: Applied Economics, Econometircs and Business Statistics

Among courses undertaken: - Applied Time Series Econometrics - Applied Econometrics - Applied Forecasting for Business and Economics - Econometrics Method for Finance - Macroeconomic Policy - Public Sector Economics - Survey Methods and Managerial Statistics - Data MOdelling and Cmputing