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MarkPhamm/README.md

Hi there, I'm Minh (Mark) Pham 👋

I'm currently a Junior in MIS and Mathematics at Texas Christian University with a Fintech Minor

I am interested in Business Intelligence, Machine Learning, and Data Engineering.

About Me

I am enthusiastic about leveraging data to drive insights and make informed decisions. Currently, I am focusing on honing my skills in Business Intelligence, Machine Learning, and Data Engineering, exploring innovative ways to harness the power of data.

Interests

  • 🔭 Currently, I am immersed in projects involving Analytics, Business Intelligence, Machine Learning, and Data Engineering.
  • 👯 I'm always open to collaboration on exciting analytics projects. Feel free to reach out to me with your ideas!
  • 🤔 I'm seeking guidance and collaboration in the realms of Cloud Technology and Machine Learning Modeling.
  • ⚡ Fun fact: I've tackled over 900 data-related questions, including SQL and Pandas, on platforms like StrataScratch and Leetcode.

Previous Experience

In my journey, I've had the opportunity to work with diverse teams and organizations, gaining hands-on experience in various facets of data analytics and business intelligence:

  • Business Intelligence Engineer Intern at Lazard & Co Ltd (Financial Advisory Team)
  • Business Intelligence & Analytics Intern at Techsmith Corp (Sales, Marketing & Ops Team)
  • Business Intelligence & Analytics Intern at Corning Inc., a Fortune 500 company (Global Supply Chain Team)
  • Data Analyst Intern at KPIM (Consulting Team)
  • Data Analyst Intern at NAPAS Vietnam (Fraud and Risk Team)

🌐 Socials:

LinkedIn

💻 Tech Stack:

MicrosoftSQLServer MySQL SQLite Python Pandas Apache Flink Apache Airflow Apache Matplotlib NumPy Plotly PyTorch scikit-learn Scipy TensorFlow Git GitHub GitLab Docker Jira Power Bi

📊 GitHub Stats:



Contact Me

Let's connect and explore opportunities together:

Feel free to explore my projects and reach out for collaboration or discussion. Looking forward to connecting with you!

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  1. Python-Segment-Shopping-Customers Python-Segment-Shopping-Customers Public

    This project segments mall customers using K-Means clustering to identify key shopping groups based on income, age, and shopping score. It includes data preprocessing, cluster analysis, and visuali…

    Jupyter Notebook

  2. British-Airway British-Airway Public

    An end-to-end analytics project analyzing customer experiences with British Airways. Includes ETL pipelines, data cleaning, exploratory analysis, and predictive modeling. Features a Streamlit dashb…

    Jupyter Notebook 3 4

  3. Stats-Calculator Stats-Calculator Public

    A user-friendly app for performing various statistical analyses. Easily calculate and visualize key statistics including mean, median, standard deviation, and more. Ideal for quick and accurate dat…

    Python

  4. Alcon-Financial-Assistant Alcon-Financial-Assistant Public

    Alcon Financial Analysis: An interactive dashboard showcasing dynamic financial metrics, KPIs, and competitor comparisons. Powered by a RAG-based chatbot for real-time insights from financial repo…

    Python 2

  5. Alto-Pharmacy-Case-Study Alto-Pharmacy-Case-Study Public

    This repository analyzes a proposed enhancement for an online pharmacy's checkout process, aiming to boost the visibility of non-medication items. The analysis suggests a potential 10% increase in…

    Jupyter Notebook

  6. Leetcode Leetcode Public

    Daily LeetCode solutions in Python, SQL, and more – featuring efficient algorithms, clean code, and a variety of problem-solving techniques.

    Python