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PriyeshDave/README.md

Data Science Enthusiast

Hi there 👋, I'm Priyesh Dave!

I am Priyesh from India, a Data Science Enthusiast. I really enjoy learning new languages and having a clear understanding of Machine Learning and Statistics and training in Programming. Motivated to learn, grow and excel in Artificial Intelligence Industry.

My Experiences 🙌

  • Data Scientist - Working in a small agile team at Tata Consultancy Services for building machine learning models for Westpac Bank and customized core banking software suite.
  • Machine Learning Engineer - Open source Outreach and working team member at Omdena, a collaborative platform to build innovative, ethical, and efficient AI and Data Science solutions to real-world problems.
  • Data Science Fellow - Apprentice at The Machine Learning Company, worked on various real world projects ranging from classic Machine Learning to Deep Learning including applications for Natural Language Processing and Computer Vision.
  • Data Science & Bussiness Analyst at The Spark Foundation - Part of sparks foundation as internee of Data Science & bussiness analytics to work on different projects.

Honors & Awards 🏅

  • Recognized and appreciated for delivering efficient solutions and awarded by Performing Award by Westpac.
  • Selected in top 300 among 15,000 applicants for Bertelsmann Technology UDACITY MACHINE LEARNING SCHOLARSHIP across world,and learnt Machine Learning.
  • Selected as an apprentice in the Google Developers Machine Learning Bootcamp India.

Skills 🎓

Python Java Machine Learning Deep Learning NLP Statistics Linear Algebra Data Analysis PostgreSQL

Frontend Deployment

  • Skilled in Python, Java and PostgreSQL
  • Exploratory Data Analysis using Pandas.
  • Data Visualization Matplotlib, Seaborn and Plotly.
  • Predictive Analytics/Machine Learning (Supervised/Unsupervised) using Scikit-Learn.
  • Natural Language Processing using NLTK, Gensim, SpaCy and HuggingFace libraries.
  • Deep Learning with TensorFlow, Keras.
  • Amazon Web Service (AWS) using Sagemaker.
  • RESTful web services using FastAPI, Flask and Nodejs.
  • Backend Development using Java and Spring.

Follow

To follow my GitHub, Search by username PriyeshDave.

Connect with me:

PriyeshDave priyeshdave6 priyeshdave21 priyeshdave priyeshdave90 priyeshdave21

Languages and Tools

aws git heroku java mssql mysql nodejs pandas postgresql postman python scikit_learn seaborn spring sqlite tensorflow

 priyeshdave

priyeshdave

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  1. Natural-Language-Processing Natural-Language-Processing Public

    Natural language processing (NLP) is a widely discussed and studied subject these days. NLP, one of the oldest areas of machine learning research, is used in major fields such as machine translatio…

    Jupyter Notebook 2

  2. Kaggle-Competitions Kaggle-Competitions Public

    I'm actively contributing open-source content to Kaggle - a Data Science platform owed by Google that hold one of the largest data science communities in the world. This repository contains code fo…

    Jupyter Notebook

  3. Site-Energy-Intensity-Predictor Site-Energy-Intensity-Predictor Public

    In this project, a regression-based performance prediction model was developed to estimate building energy consumption based on simplified façade attribute information and weather conditions.

    Jupyter Notebook

  4. Accident-Severity-Predictor Accident-Severity-Predictor Public

    RTA severity predictor is an application which predicts the severity of road traffic accident, so as to pave the way for improving the safety level of road traffic.

    Jupyter Notebook 1

  5. Applied-ML Applied-ML Public

    Implemented Machine Learning algorithms from scratch using python.

    Python

  6. Projects Projects Public

    As part of this repository I have worked on several Machine Learning projects ranging from the application of classic ML to NLP.

    Jupyter Notebook 1