Apr 2023 – Sep 2025 · 2 yrs 5 mos

Oct 2021 – Apr 2023 · 1 yr 6 mos

• Using Data science to bring in next phase of healthcare innovation.

Jun 2020 – Oct 2021 · 1 yr 4 mos

Nov 2019 – Jun 2020 · 7 mos · Bengaluru Area, India

• With vernacular natural language data-set, we are working on some unique Recommendation Engines and customising it with the combination of Deep Learning, Machine Learning and classical algorithms

Oct 2018 – Nov 2019 · 1 yr 1 mo

• Working on NLP and Deep Learning to tackle a revolutionary problem.

Jul 2017 – Sep 2018 · 1 yr 2 mos

• Clustr is a Tally incubated startup trying to provide the analytics ability for SMEs. I am the part of Data Science team responsible for the core product development of the company. Currently working on projects which demands creative and heavy NLP and Deep learning implementation along with Persistance modelling.

Feb 2017 – May 2017 · 3 mos · India

• As an intern I worked on POC for chatbots with sentiment analysis for customer services. Using NLP these chatbots gain the ability to sense the human sentiment using the content of the text and hemp to move the process forward accordingly

May 2016 – Jul 2016 · 2 mos · Gurgaon, India

• Worked on a Geocoding project. Developed a resilent and self improving model using unique Dynamic bayesian HMM to tag different entities of addresses with not enough training dataset. The model was an improvisation over a generic Bayesian HMM with self improving feature and crash avoiding feature during unknown entity encounter.