#Skills:
> Image processing, Classification, Clustering, Segmentation, Localisation & Detection, OCR.
> Time Series Analysis, Multi-Step Time series Analysis, RNNs/LSTMs.
> Training and Mentoring, Data Visualisation, Learning Curves
> ML Algorithms, ML Model Development, Deep Learning and Data/Text Mining, NLP
> Video Analytics ( Anomalies detection, Video Classification & Labeling )
> Audio Analytics ( Speech Recognition, Speaker Diarization & ASR )
> Deploying ML models as web services & on edge devices as embedded models.
#Core Libraries:
> tensorflow-keras, pytorch, opencv, pyedflib, scikit-learn, PIL, matplotlib/seaborn, tesseract, numpy, pandas, etc.