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khwajaavais/README.md

👋 I'm Khwaja Avais Lakdawala !! 👋🤓

Having 1.9 Years of professional work experience in the Data Science Domain.
Employed with Medly and Tech Mahindra Business Services(TechMBS)* as a Data Analyst. Worked on Customer Segmentation Model using RFM, collaborated with the market expansion team to create Market Expansion Tool.

I'm passionate about areas of Data Science like Data Analytics, Machine learning, and Deep learning👨‍💻. I have implemented end-to-end Machine Learning Projects as well on Time Series. You can also find me interested in automation🤖. I hope to contribute to that field as well.

I have completed my Bachelor of Engineering in Computer Engineering from KJSIT, Mumbai 🧑‍🎓.

When I'm not developing and coding, you can find me watching Sports. Playing cricket was also on that list, but out of practice has removed that for now 😢. But analysing cricket facts are something that I love very much ♥️.


Pinned

  1. Twitter-Speech-Detection-Sentiment-Analysis Twitter-Speech-Detection-Sentiment-Analysis Public

    This project is designed to classify the sentiments of the real-time Tweets fetched via Twitter API. Implemented in an end-to-end manner deployed using Flask Framework in Heroku Platform(PAAS).

    Jupyter Notebook 1

  2. Car-Servicing-Company-Revenue-Forecasting Car-Servicing-Company-Revenue-Forecasting Public

    The project is designed to forecast the revenue for the Car Servicing Company for the upcoming n months using a SARIMAX Time Series Algorithm.

    Jupyter Notebook 2

  3. AirQualityIndex-Prediction AirQualityIndex-Prediction Public

    The project is designed to predict the Air Quality Index of a Mumbai region given climate conditions using a Machine Learning Algorithm. Implemented in an end-to-end manner using Flask framework an…

    Jupyter Notebook 1

  4. Product-Recommendation-System Product-Recommendation-System Public

    Forked from VirajTrivedi17/Product-Recommendation-System

    The project is designed to recommend the products based on the previous user experience of the products used using a Kmeans Algorithm.

  5. Full-Stack-Data-Science Full-Stack-Data-Science Public

    iNeuron Assignments

    Jupyter Notebook 2 1