priyeshdave/accident-severity-predictor

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.

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.

• 🔭 I’m currently working on Google AI4Code
• 🌱 I’m currently learning and experimenting on Amazon Web Services.
• 👯 I’m looking to collaborate with other developers for winning Hackathons and Open Source contributions.
• 💬 Ask me about Anything
• 📫 How to reach me [email protected]
• 📄 Know about my experiences https://www.linkedin.com/in/priyeshdave21/

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 🎓

• 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.

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