At NeuraNiche, we are engineering the blueprint for tomorrow's innovation. We attempt to craft a unified knowledge base for organizations, converging complex datasets using our proprietary cutting-edge platforms - NexForm and DataFusion.Our current focus is navigating the world of data fusion and entity extraction. We are enhancing predictive analytics, harmonizing data sources, and filling gaps with intelligent precision, making an impact on every level of the data chain.

At dss+, I worked with clients across various sectors and regions to develop business insights to reduce their exposure to risk. I attempted to do so by combining my business analysis skills with my technological expertise in the area of Machine Learning. My work has included using pre-trained language models such as RoBERTa to develop a state-of-the-art natural language processing platform specific to the risk insight industry with minimal industry specific data, with the help of semi-supervised learning techniques to perform tasks such as named entity recognition and sentiment analysis, as well as using unsupervised learning techniques such as Latent Dirichlet Allocation to perform topic modeling.Using these additional insights and additional structured data generated from (in most cases) unstructured data available derived using these state of the art Machine Learning models, in coordination with the the domain-specific expertise of consultants, my role is to try and convey a story to the client, and assist them in identifying potential improvements to their business processes and promote safety in their workplace.

Using social-media data to quantify and understand mental health, and the various factors impacting it.

Worked on building classifier neural networks using TensorFlow and Keras, in addition to building neural networks without the use of any additional libraries such as PyTorch and TensorFlow on Python using Numpy to achieve a proprietary, faster training time.