I'm a Senior Data Scientist with 4 years of industry experience.
My mission is to inspire enthusiasts to break in and then grow in the world of data science! Currently, I work at YData, an AI startup, where I build use-cases in the domain of Data-Centric AI and data privacy.
Prior to joining YData, I have worked at both startups and corporates, where I designed, developed, and deployed end-to-end AI products and data science solutions for business problems in Retail, Smart Cities, Data Privacy, Genomics, Aquaculture, and more.
Additionally, I write articles about data science and building side-hustles based on personal experiences. I invest time in continual development through online courses, build projects, and make a conscious effort to share my knowledge through writing.
Summing it all up, I learn, create and share.
You'd see me working, writing and mentoring on ML/AI most of the time. I'm fairly comfortable with PyTorch and TensorFlow. I've worked on projects using both the frameworks.
Python is my go-to language when it comes to coding up something. In the past I've worked on R, Java and C++ so I find it easy to use these languages as well.
I generally use MySQL databases when it comes to structured data and MongoDB for unstructured data. I've used Gremlin for graph data.
I'm comfortable with Google Cloud Platform and Micorsoft Azure, since I use them mainly for my daily tasks. I've used AWS for some past projects.
I believe every developer needs an understanding of Devops side of things. I package my code in to Docker containers and can configure it into Kubernetes clusters.
A Google CodeU Summer 2019 Project. Features include Hate-speech filters, Automatic generation of hashtags and Text to Speech Generation for user posts.
A project in collaboration with Omdena and RedDot Foundation to collect data from various sources and model them to understand the state of Domestic Violence during COVID-19.
[WRAPPING UP] Conducted Experimental Design and Analysis, built predictive models leveraging the results and Proposed an optimal promotional strategy for Starbucks.
Classification of day-night images with an accuracy of 93.75% through Image Processing using OpenCV and zero Machine Learning.
A Secure and Private AI 2019 Project. Prototype of Rescue at Sea mission through detection and tracking of people using OpenCV and PyTorch.