I possess a strong passion and commitment as a data scientist, with a keen focus on achieving desired outcomes. I have a strong proficiency in the development and implementation of predictive models, as well as the optimization of algorithms and the extraction of valuable patterns from extensive and complex datasets. Throughout my professional trajectory, I have effectively engaged in collaborative efforts with interdisciplinary teams to address complex issues and implement evidence-based solutions that optimize operational effectiveness and guide strategic decision-making. As an individual committed to lifelong learning, I consistently strive to identify and engage in avenues that enable me to enhance my array of skills and remain updated of the dynamic developments within the field of data science. I excel in dynamic contexts and am enthusiastic about utilizing my specialized knowledge to effectuate a constructive influence within the realm of data science.
- Explainable Machine Learning Models
- Integrating AI with Neuroscience
- Sentiment Analysis from Text, Audio, and Video Data
- Creating Biologically plausible Neural Networks (Tutorial)
- Designing energy efficient spiking networks (Tutorial)
- Kinematic analysis of human arm movement
🔭 I’m currently working on Cls-Evaluation 0.0.1 package.
- Google (https://www.google.com/)
- Stack Overflow (https://stackoverflow.com/)
- Kaggle (https://www.kaggle.com/)
- Tensorflow (https://www.tensorflow.org/)
- Scikit learn (https://scikit-learn.org/stable/)
There are many open source codes available in the data science field, so if you find any code that is reused from your original work, it was done unintentionally, so please inform me. I would like to credit you as the author of your work and include it in my "references section". Let us collaborate to learn and grow in order to provide meaningful service to society through creativity.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent