Experience

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  Boston Consulting Group (BCG)

  • Seattle, Washington, United States

  • Consultant

    • Apr 2023 - Present
    • Seattle, Washington, United States

    - Developed a clinic operating model for a provider with a VBC model- Conducted a market scan of healthcare technology solutions for payers and providers- Studied (& reported on) private equity investment trends and outlook in biopharma, life sciences tools & diagnostics, payer and provider spaces- Developed a GTM strategy for a GenAI tech & services provider targeting specific industry verticals & use-cases- Conducted a diligence on an online education, employment, welfare provider (edtech.) on current market opportunity & future value creation levers

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  The Johns Hopkins University

  • United States
  • Higher Education
  • 700 & Above Employee

  • Graduate Research Assistant

    • Aug 2017 - Dec 2022

    My interests include Machine Learning and Causal Inference methods applied to clinical data, mainly Electronic Health Records (EHR). My work spans temporal causal models, missingness in data, dependence and interference, causal discovery and graph learning, and inference in pre-equilibrium settings. Select projects from my PhD:- Graphical Models of Entangled Missingness: Formulation, identification and estimation when data arises from dependent sources, and can be missing systematically due to various mechanisms (on arxiv, 2023; submitted & under review).- Inference from Summaries: Identifying pre-equilibrium trajectories when data is only available at equilibrium settings, used in cellular differentiation as well as genomic applications (in preparation).- Causal Determinants of Postoperative Length of Stay in Cardiac Surgery: Causal discovery and causal effect estimation using EHR data from patients undergoing CABG/AVR surgeries (published, Journal of Thoracic and CardioVascular Surgery 2022).- Path Dependent Structural Equation Models: Identification and estimation in temporal causal models for settings where interventions change system evolution. Applied to surgical data to inform surgical training for residents (published, UAI 2021).- Machine Learning Improves Clinicians' Diagnosis of Heparin Induced Thrombocytopenia: Predicting HIT, an extremely rare but nearly fatal outcome in cardiac surgery using machine learning methods on EHR, and validating machine predictions against clinicians' using principles from Human Computer Interaction design (Published, Talk, STS Critical Care 2020)- Determining Causes and Predictors of Bounceback in cardiac surgery: Differentiating predictive methods against causal methods in bounceback to the ICU (Published, European Society of Cardiology 2019)

  • Graduate Teaching Assistant

    • Aug 2018 - Dec 2018

    Course: Random Signals AnalysisBasics of probabilistic and statistical models, hypothesis testing, decision theory, graphical models and machine learning.(Guest TA) Course: Data to ModelsBasics of a Causal Inference Pipeline going from Data to (Causal) Modeling, using graphical models. Additional Topics: Hidden Confounding, Missing Data, Statistical Inference

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  Johns Hopkins Graduate Consulting Club

  • United States
  • Business Consulting and Services
  • 1 - 100 Employee

  • Director of Pro Bono Consulting

    • Sep 2021 - May 2022

    Customer Acquisition Strategy for the first senior-care marketplace in Greater Toronto: Led a team of 6 consultants to deliver end-to-end short-term and long-term acquisition plans, including customer personas, priority target channels, messaging & marketing templates, and financial estimates.

  • Healthcare Consultant - Pro bono

    • Sep 2020 - Sep 2021

    - Analyzed vertical and horizontal avenues for an AI-validation cloud platform & provided a ranked list of priorities towardsa 1-year revenue-growth plan, in a team of 6 consultants. KPIs including governmental regulation, testing feasibility and customer lifetime value considered for 6 different sectors.- Investigated and predicted market potential for new allogeneic cell therapies in oncology for a global healthcare equityfocused investment management client, in a team of 13 researchers. Evaluated profiles of 16 companies & constructed a composite score using pre-clinical data, clinical activity & safety profiles.- Proposed a 3-phase market entry plan to quality control, highlighting potential barriers in licensing and standardization for a nanotopography characterization tool. Organized 20+ stakeholder interviews and synthesized market research with iterative client feedback, to deliver a potential timeline for point of entry and partnerships for commercialization.

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  Prakriti Dance Company

  • Bethesda, Maryland, United States

  • Dancer

    • Aug 2019 - Sep 2021
    • Bethesda, Maryland, United States

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  Boston Consulting Group (BCG)

  • New York, United States

  • Bridge to BCG Participant

    • Jun 2021 - Jun 2021
    • New York, United States

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  McKinsey & Company

  • New York, United States

  • McKinsey Insight Participant

    • Jun 2021 - Jun 2021
    • New York, United States

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  nference

  • Cambridge, Massachusetts, United States

  • Biomedical/Translational Data Scientist

    • Jun 2020 - Dec 2020
    • Cambridge, Massachusetts, United States

    Worked on two exciting ongoing projects as scientist and consultant:1. Predictive health using ICD code information and entity extraction2. Predictive trajectories in Major Depressive Disorder

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  Carnegie Mellon University

  • United States
  • Higher Education
  • 700 & Above Employee

  • Graduate Research Assistant

    • Oct 2015 - Jun 2017

    Signal processing and Machine Learning algorithms to explain the high-dimensional structure and time-course of neural population activity: calcium imaging and spiking activity.Manuscript under preparation: Dimensionality reduction of calcium imaging neuronal population activity

  • Graduate Teaching Assistant

    • Jan 2016 - May 2016

    Neural Signal ProcessingTopics: Probabilistic Modeling, Machine Learning, Inference and EM algorithm, Applications to Neural Spiking Activity

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  Indian Institute of Science

  • Research Assistant

    • May 2014 - Jul 2014

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  Indian Space Research Organisation

  • Research Assistant

    • May 2013 - Jul 2013