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.
- π Iβm currently working on Google AI4Code
- π± Iβm currently learning and experimenting on Amazon Web Services.
- π― Iβm looking to collaborate with other developers for winning Hackathons and Open Source contributions.
- π¬ Ask me about Anything
- π« How to reach me [email protected]
- π Know about my experiences https://www.linkedin.com/in/priyeshdave21/
- 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.
- 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.
- 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.
To follow my GitHub, Search by username PriyeshDave.