Skip to content
View knayyar0416's full-sized avatar
12 followers · 23 following

Achievements

Achievement: QuickdrawAchievement: Pull SharkAchievement: YOLO

Achievements

Achievement: QuickdrawAchievement: Pull SharkAchievement: YOLO

Highlights

  • Pro

Block or report knayyar0416

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
knayyar0416/README.md

I am

  • 🔍 A Business Analytics professional with more than 3 years of Data Analytics experience.
  • 🎯 Passionate about Customer and Behavioral Analytics, particularly customer behaviour and customer acquisition, and am interested to work on strategic projects to create business value for organizations.
  • 🎓 Currently pursuing a Master of Management in Analytics degree at McGill University, where I am mastering my programming, statistics, and business strategy skills.
  • 👩‍💻 Proficient in SQL, Python, and R. I am currently learning and honing data analytics techniques such as machine learning, predictive modeling, and artificial intelligence.
  • 🏆 Proud of building a new data model for KPMG, called Financial Performance Index, currently used in 50+ member firms.
  • 🤝 Always eager to learn new things and collaborate with others. If you are interested in working with me on a project, a challenge, or an opportunity that involves data/strategy, connect with me on LinkedIn or Email or Kaggle, I would be happy to learn with/from you! 😄

Pinned Loading

  1. McGill-MMA-EnterpriseAnalytics/targeted_marketing McGill-MMA-EnterpriseAnalytics/targeted_marketing Public

    Python 2

  2. CausalML CausalML Public

    Uplift Modelling to maximize the impact of marketing promotion campaign

    Jupyter Notebook 1

  3. unsupervised-model-clustering unsupervised-model-clustering Public

    Built an unsupervised clustering model using K-Prototypes clustering and anomaly detection algorithms to discover patterns in the dataset containing 13000+ projects.

    Python

  4. predictive-model-classification predictive-model-classification Public

    Built and tested 6 supervised machine learning algorithm to develop a predictive classification model to classify 13000+ projects as success or failure.

    Python