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👋 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 ♥️.


Khwaja Avais Lakdawala's Projects

airqualityindex-prediction icon airqualityindex-prediction

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 and Heroku platform.

extra-marital-affair-prediction icon extra-marital-affair-prediction

The project is designed to predict the Extra Marital Affair using Logistic Machine Learning Algorithm. Implemented in an end-to-end manner using Flask framework and Heroku platform.

machine-learning-project-ineuron icon machine-learning-project-ineuron

The project is designed to predict the ratings of the European Soccer Players using the Machine Learning Regression Algorithm. Implemented in an end-to-end manner using Flask Framework and Heroku Platform (Platform As a Service).

password-stength-checker icon password-stength-checker

The project is designed to predict the strength of a password entered by the user using a Machine Learning Algorithm. Implemented in an end-to-end manner using the Flask framework.

product-recommendation-system icon 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.

twitter-speech-detection-sentiment-analysis icon twitter-speech-detection-sentiment-analysis

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).

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