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mahumt/README.md

mahumt

Typing SVG

πŸš€ About Me

I'm a Product Manager specializing in Automation using low code platforms. With an academic background in Econometrics, Finance and Statistics. I am passionate about all things Data (Data engineering/science/analytics including Machine Learning and AI). I enjoy horesriding and learning piano & violin in my free time πŸ˜ƒ.

πŸ“« Look me up on:

Microsoft Outlook LinkedIn Medium.com Tableau

- πŸ”­ I’m currently working on creating a personal App in low-code to help me keep track of my PM duties.
- 🌱 I’m currently learning how to engineer complex real-time data pipelines with Kafka, Spark & Zookeeper and moving it into AWS for storage, warehouse and analytics purpose

πŸ‘¨πŸ»β€πŸŽ“ Academic experience:

πŸ“˜ Master of Science: Econometrics, Big Data and Statistics at Aix Marseille Univerity; Marseille France
πŸ“š Bachelors of Science (Honors): Double Majors in Economics and Finance at Lahore School of Economics; Lahore Pakistan


πŸ‘©β€πŸ’» Tools I have learned and Used πŸ‘©β€πŸ’»


βœ’οΈ Product Management Stack for Automation

☁️ Technologies


πŸ–ΌοΈ Frameworks & Library

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  1. Natural-Language-processing-for-earnings-call Natural-Language-processing-for-earnings-call Public

    Running sentiment analysis on Earning calls using a financial dictionary

    Jupyter Notebook 2

  2. Vodka-Classification-Project Vodka-Classification-Project Public

    Classification methods applied to "Liquour Sales in Iowa State" kaggle dataset (dependant variable: category)

    Python

  3. Web-scraping Web-scraping Public

    Web Scraping the SEC website to download filings for specific company within specific date range

    Jupyter Notebook

  4. DE_YT DE_YT Public

    Basic Data engineering project migrating same-schema data from one folder to another folder using postgres and airflow and then running transformations on it - everythign in docker

    Python

  5. Deploy_ML_model_on_site Deploy_ML_model_on_site Public

    An exercise to learn the basic concepts of deploying machine learning models on AWS cloud, while using CI/CD methods with Github Actions

    Jupyter Notebook