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Hey! Nice to see you.

I'm Sachin Awati 😀

I'm a Aspiring Data Scientist

I have technical experience and interest in:

  • Deep Learning
  • Machine Learning
  • Python
  • Natural Language Processing
  • MLOps
  • MySQL
  • Power BI
  • Statistics

👉My Online Portfolio

Languages and Tools:

arduino bash bootstrap css3 docker flask git heroku html5 linux mongodb mysql opencv postman python pytorch scikit_learn tensorflow

My Hobbies and interests:

  • Playing Chess
  • Music
  • Coding

You can also find me on:

Sachin | LinkedIn

Sachin | Instagram



SACHIN AWATI's Projects

customer-churn-prediction icon customer-churn-prediction

Churn prediction means detecting which customers are likely to cancel a subscription to a service based on how they use the service. It is a critical prediction for many businesses because acquiring new clients often costs more than retaining existing ones.

fifa-world-cup-20 icon fifa-world-cup-20

Uncover FIFA World Cup insights with machine learning clustering. Utilizing k-means or hierarchical algorithms, teams are grouped by metrics, playing styles, or region. This data-driven approach unveils trends, aiding strategic planning for coaches and enthusiasts, enhancing understanding of team dynamics.

house-price-prediction icon house-price-prediction

Machine learning plays a crucial role in predicting house prices by analysing various factors. Models are trained on datasets containing features like location, size, and amenities. Algorithms, such as regression or decision trees, learn patterns and correlations within the data to make accurate predictions.

rice-leaf-disease-prediction icon rice-leaf-disease-prediction

Rice plant is susceptible to diseases that may affect the quantity and quality of rice production. Detection of these diseases by the farmers will require a great knowledge about the various disease and how to identify them visually.

skin-disorder-disease-prediction icon skin-disorder-disease-prediction

Skin disease detection has seen significant advancements through the integration of machine learning (ML) techniques. Machine learning algorithms facilitate accurate and rapid identification of various skin disorders. These systems analyse dataset of skin conditions, aiding doctors in efficient disease diagnosis.

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