Hi,
I am a Machine Learning Engineer with experience in - Data Analysis, Statistics, Classical ML Techniques like Random Forest, XGBM, Naive Bayes, etc; KMeans Clustering, Natural Language Processing, Image Processing - OpenCV, DLib, etc; Deep Learning - CNN, LSTM, SSD.
Recent Projects I've worked on -
- Wood defect (Object) detection using Tensorflow API and SSD Mobilenet.
- Song Segment Recommendation using KMeans Clustering.
- Speech Recognition using CNN-based Deep Learning model.
- Sentiment Analysis from Tweet data using Word2Vec and LSTM Model.
- Time Series Forecasting from weather data using an LSTM Model.
- Music generation using an LSTM Model.
- Face Recognition using OpenCV, DLib and Face_Recognition.
Let's have a chat on your requirements to take this further.
Best,
Saikat