- π¨βπ» Computer Vision Machine Learning Engineer.
- β³ Time Series, ForeCasting, Anomaly Prediction, and Time Series Data Analysis.
- π± Data Science (pandas, numpy, scikitlearn, matplotlib, seaborn).
- π€ CNN Family, Machine Learning Family, Vision Transformers, Swin Transformers, Object detection, image segmentation and advanced image processing technique.
- π€ LLMs: LayoutLMv2, LayoutLMv3, LiLT, LAMA2, Transformers, Groq, BERT GPT-2 and, GPT-3.5.
- π― Looking to collaborate with other content creators and developers.
- π’ Love to teach and inspire.
- π Learning Data Science .
π―
Focusing
AI Research Executive @ PanaceaLogics | Data Scientist | Machine Learning | Deep Learning | Statistics | Data Analytics | Python | JavaScript | Apache Hadoop
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Nutritional_Patterns_Analysis_Across_Demographics_Up
Nutritional_Patterns_Analysis_Across_Demographics_Up PublicJupyter Notebook
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Spatial_Data_Analysis_and_Classification_Techniques_using_Python_and_R
Spatial_Data_Analysis_and_Classification_Techniques_using_Python_and_R PublicJupyter Notebook
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Ball_Detection_Segmentation_and_Tracking_CV_Up
Ball_Detection_Segmentation_and_Tracking_CV_Up PublicJupyter Notebook
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