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I'M
Saad Moin Khan.

Data Science &
Analytics Enthusiast

01 PROFESSIONAL

SKILLS AND CERTIFICATIONS

PYTHON & R

  • Automation
  • Machine Learning & Analytics
  • Web Scraping
  • Web Development
Python for Data Science - Dataquest.io
Data Analysis with R - Google

Cloud

  • Microsoft Azure (SSMS, ADF, SSRS, etc)
  • Amazon Web Services (EC2, Redshift, S3, etc)
  • Google Cloud Platform (Big Query, Cloud SQL etc)

DATA SCIENCE & ANALYTICS

  • Google Data Analytics Professional
  • Google Analytics for Beginners
  • Data Scientist Toolbox - John Hopkins University

VISUALIZATION

  • Visualization with Tableau - UCDavis
  • Power BI Desktop - Coursera
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 I'm Saad Moin Khan, a passionate data analytics professional with a solid foundation in Business Analytics and Computer Science, holding a Master’s degree from Ivey Business School and a Bachelor's degree from Jamia Hamdard.

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Throughout my career, I've spearheaded impactful data-driven projects across diverse sectors, achieving notable outcomes in revenue growth and operational efficiency. My experiences include roles at HealthHub Patient Engagement Solutions, AMD, and Noon e-commerce, where I've leveraged my skills in Python, SQL, AWS, and a variety of analytics tools to deliver results.

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I’m dedicated to leveraging the latest technologies and insights to drive business success. On my website, you'll find detailed accounts of my professional journey, key projects, and contributions to the field of data analytics.

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Let's explore the potential of data together!

PROFESSIONAL 
PORTFOLIO
EXPERIENCEO

02 PORTFOLIO

MY LATEST WORK. SEE MORE >

03 Experience

OCTOBER 2022 - PRESENT

HealthHub Patient Engagement Solutions

Lead, Business Intelligence Analyst

  • Led cross-functional teams to design and deploy advanced machine learning (ML) models, optimizing ground team marketing strategies. Implemented a custom-built system using SSMS, Python, and Azure Data Factory (ADF), coupled with a tailored Power BI dashboard, driving a 57% increase in on-site conversion revenue.

  • Automated reporting using PowerBI, SSRS, Power Automate, and Python, reducing manual reporting efforts by 90%. This system generated and sent customized reports directly to clients and senior leadership, enhancing decision-making efficiency and ensuring timely access to critical insights.

  • Designed and implemented an end-to-end preventive maintenance system, utilizing (ML) models to automate ticketing and maintenance workflows. Delivered a 4.9% annual revenue increase and reduced device issue tickets by 26%, contributing to higher operational efficiency.

  • Exhibited technical leadership by mentoring team members in best practices for data visualization and data pipeline architecture. Facilitated code reviews and disseminated knowledge on data concepts and analytical tools, fostering a collaborative learning environment.

MAY 2022 - PRESENT

AMD (ADVANCED MICRO DEVICES)

Data Science Specialist

  • Forecasted growth and churn in the company by using SVM, Neural Networks, ETS, etc. for the strategy & analytics team while connecting PowerBI for visualizations; senior management is using it now.

  • Tracked server load & reports by extracting data using Python from IISLogs and developed PowerBI report.

  • Automated processes in the backend using Python, C#, and SQL to formulate an ETL pipeline and developed a full-stack web app using ASP.NET for managers to track and update employee data.

APRIL 2021 - AUGUST 2021

NOON e-commerce

Business Intelligence Analyst

  • Created a system using Python and YAML files by transforming the live website’s 1,000,000+ SKUs into a tabular format to have live data in the BigQuery platform for analysis; established a data table for analytics and received appreciation from the CEO and the Vice President of analytics to solve this major problem.

  • Analyzed merchandising data ranging in millions of entries using Google BigQuery and Analytics platform; insights helped the marketing team align future campaigns and track current performance.

  • Developed interactive dashboards for multiple departments using SQL and Google Analytics in an agile framework; dashboards are being used to analyze teams’ performance metrics and strategic planning.

JANUARY 2020 - APRIL 2020

NOON e-commerce

Business Intelligence Analyst

  • Developed solutions for the ongoing catalog problems by implementing a size recommender using machine learning and creating a universal size chart for Noon; recommendations reduced returns by 13%.

  • Formulated data-driven changes with the team to optimize the cost of different marketing channels; changes helped the company save more than $40,000 and implement efficient targeted marketing.

  • Worked on an image classification model to categorize the type of SKU using machine learning (Keras and Tensorflow); it decreased the time per SKU by more than 21%.

MAY 2019

RIPENAPPS

Business Consultant

  • Documented and engineered client requirements for the app/website development for the company’s prospective sales using software development life cycle (SDLC); managed multiple international projects.

  • Formulated mind maps with the business head and CEO to deliver highly engaging sales pitches to clients.

CONTACT
CONTACT

Feel free to reach out to me if you have any further questions.

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saadmoinkhan@gmail.com

skhan.msc2022@ivey.ca

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  • GitHub
  • LinkedIn
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