Data Scientist providing classes in AI, data science, machine learning, computer science, and mathematics to people of all ages

I have worked as a Machine Learning Engineer & a corporate trainer in the Data Science and Machine Learning Track at Infosys. I specialize in software development and data analysis methods using Python, classical Machine Learning, NLP, and statistical analysis. I am a post-graduate student in the MSc Data Science program at Kingston University.

My teaching methodology is pragmatic and project-oriented. I focus on practical concepts. I make sure that my students understand all the concepts because if you understand all the concepts, you'll know what's going on behind the curtains when you type in a command.

In my previous jobs, I have:
1. Led a team to develop an enterprise solution to extract skills from resumes and classify them into 5 job proficiency categories using the Attention model, which decreased the cost of human resources at Bangalore and Mysore DC.
2. Worked on internal ML projects in the Data Science & Machine Learning track, which uniquely enabled the company's Business Enablement Function (BEF) at a global level and attracted external clients such as GlobalFoundries, thereby increasing massive profits throughout the year-
3. Made courses on classical Machine Learning, Deep Learning, advanced statistical topics and Natural Language Processing, and scaled up more than 5000 internal employees, thereby helping indirectly increase the revenue in numerous
horizontals.
4. Awarded the best author for the course on GPT-3 in Q2 of 2022.
5. Created YouTube videos and wrote technical blogs for the company on data science, machine learning projects, and SOTA machine learning techniques.
6. I am also the host of the Applied Privacy podcast where industry leaders, CEOs and executives come and share their thoughts on the Privacy landscape from an academic, engineering, and legal point of view.

YouTube channel: