Machine Learning Engineer with over 5+ years of experience with various machine learning projects including Computer Vision, Natural Language Processing, Time-Series Forecasting, Speech Recognition, and Generation.
Tech Stack:
• Programming Languages: Python, .Net (C#), Java, C++.
• Database: Relational (MYSQL, Postgres), NoSQL (MongoDB, Neo4J, Elastic Search).
• AWS: Lambda, DynamoDb, Cloudwatch, Step functions, EMR, SQS.
• Data Analysis: Numpy, Pandas, Matplotlib, D3, Gephi.
• Machine Learning: Scikit-Learn, Keras, Tensorflow, PyTorch.
• NLP: NLTK, Gensim, Stanford NLP, Spacy.
• Crawling: Scrapy, Selenium, Apache Nutch, Beautiful Soup, LXML.
• Web: Flask, Django, ASP.Net, NodeJS.
• DevOps: Git, Docker, Kubernetes, Jenkins, Ansible.
Detailed experience:
- Building and testing machine learning models
- Leading projects with Machine Learning and analytics background
- Computer Vision
- Deep learning
- Natural Language Processing
- Time series analysis
- Speech Recognition and Speech Generation
- Development of REST services with analysis background
- Integrating machine learning algorithms
- Building data analysis APIs
I'm easy to work with, have great communication skills, and never close a job without my clients being completely satisfied with my work.
Cheers,
Nandan Garg