Dec 2023 – Mar 2024 · 3 mos · Bengaluru, Karnataka, India · Hybrid

• Head of Data Science & AI at LCCI:BI&A

May 2023 – Dec 2023 · 7 mos · India · Remote

• Lead AI led innovation within PiHealth’s end-to-end clinical trial management platform FICS: Intelligent routing of data from EHR to forms, predictive risk based monitoring models, automated summaries, data reviews, etc.
• Was on payroll of SmartIMS while PiHealth was yet to set up its entity in India.

Oct 2022 – May 2023 · 7 mos · India · Remote

Sep 2021 – Oct 2022 · 1 yr 1 mo · Canada · Remote

Mar 2021 – Sep 2021 · 6 mos · Montreal, Quebec, Canada · Hybrid

Jun 2020 – Feb 2021 · 8 mos · Princeton, New Jersey, United States

Aug 2019 – Oct 2019 · 2 mos · Reykjavík, Capital Region, Iceland · On-site

• As part of Amgen-deCODE DS collaboration initiative, I had the opportunity to work on proteomics based disease onset and biological pathways modeling. Explored generative AI techniques to model disease progression.

Sep 2018 – Jun 2020 · 1 yr 9 mos · Greater Los Angeles Area

• Led and managed growing team of data scientists
• Worked with predictive modeling in problem areas of early diagnosis, regulatory success, personalized drug response, prescribing behavior, surrogate and predictive clinical endpoints etc. using composite data sources: Clinical trial, EMR, proteomics, publications, press releases.
• Applied and advanced concepts of deep sequential representation and learning, Bayesian modeling, interpretable AI, generative AI etc.

Sep 2016 – Jun 2018 · 1 yr 9 mos · Greater Los Angeles Area

• I worked with major pharma organizations to bring machine learning to real business problems. I engaged with clients across functions like process developments, R&D, commercial, competitive intelligence etc. to organically transform how business operates through data science. Tying the threads from vision, PoC, pilot all the way up to scaled operations model maintenance, businesses are seeing value in being part of the AI journey and not just think of data science as an auxiliary tool. My responsibilities in this role involved crafting this journey for the client teams and delivering projects like manufacturing non-conformance analysis, modeling prescription behavior, optimizing multi-channel marketing sequences, clinical trial data harmonization & insights generation, prediction of competitive landscape etc. using business relevant algorithms along with build and managing team of highly skilled data scientists and shape internal innovation strategies.

Feb 2014 – Sep 2015 · 1 yr 7 mos · Pune Area, India

• My primary responsibilities here as a Data Scientist and Business Consultant were to ideate and build business strategies around machine learning to aid and transform how large volume of data is used by client organizations. I lead teams of data scientists to execute ML projects for ZS’s global pharma clients on problems across the drug development and commercialization spectrum.

Sep 2015 – Sep 2016 · 1 yr · Mumbai Area, India

• I co-led the AI&ML team with a mandate of bringing cutting edge ML solutions to clients from varied sectors like CPG, FSI, media, telecom etc., innovate probabilistic AI capability within the firm and participate in AI product development initiatives at the firm. While managing business development, project delivery and product implementation I was able to bring perspectives from various stakeholders to develop comprehensive solutions to problems such as choice modeling, media impact assessment, product placement optimization, early product development, next best action etc. In this enriching experience I spent significant time with clients to think through the problems, solution approaches and chalk out engagement models that worked for them while grooming and co-delivering the solutions with the extended teams.

Aug 2013 – Jan 2014 · 5 mos · Bengaluru Area, India

• A rather short stint spent on proposing various approaches to use Machine Learning techniques to analyze data generated in Smart Grid environments.

Jun 2012 – Jun 2013 · 1 yr · Bengaluru Area, India

• Worked with the Data Centric Systems Research group where I explored the solution space of distributed machine learning architectures for problems arising from large scale data within Siemens business units.

Dec 2011 – Mar 2012 · 3 mos · Lausanne Area, Switzerland

• Worked with the OpenSense group of Distributed Information Systems Lab (LSIR), EPFL to develop machine learning technologies for "people sensing" and behavior mining in ad-hoc sensor networks (smartphones etc.) domain.

Jun 2010 – Oct 2011 · 1 yr 4 mos · Bengaluru Area, India

• Worked with the Human Language Technologies group at IBM Research India, with research focus on application and development of Machine Learning Techniques to different problems of text analytic, behavior modeling, social network analysis etc. Worked with global clients to deliver product pilots and proof-of-concepts while publishing research papers in refereed international forums and filing patents.

May 2009 – Jul 2009 · 2 mos

• Worked with Telecom Research and Innovation Center at IBM Research - India, New Delhi on Intention Extraction from Microblogs.

May 2008 – Jul 2008 · 2 mos

• Worked with CIM (Consumer Information Management) Group to develop efficient consumer segmentation techniques for large scale telecom data (CDRs) using machine learning techniques.