Pranav Shukla

Experience

• 

  Cenerge Technologies Pvt. Ltd.

  Jun 2017 - Jul 2019

  Account Manager
• 

  Department of Management Studies, IIT Delhi

  Sept 2019 - May 2021

  • Coordinator, International Relations committee

    May 2020 - May 2021

  • Executive Member - International Relations Committee

    Sept 2019 - May 2020
• 

  Iris Software Inc.

  Apr 2020 - Jul 2020

  Summer Intern

  • Compensation Data Analysis: Leveraged Python and Tableau to provide data-driven insights to aid Business Unit Heads in effective decision making related to employee compensation for both recruitment and appraisal purposes• HR Operations Automation: Identified automation opportunities, designed processes to reduce error rates and improve efficiency by up to 30%; Conducted cost benefit analysis to optimise Human capital and determined feasibility of implementation, freed up employee bandwidth by 7-20 Hrs/week across multiple workflows• Policies and Processes Research and Benchmarking: Provided Research and benchmarking for existing policies, created framework for a new Remote Working Policy and virtual Induction program Show less

• 

  Axtria - Ingenious Insights

  Jun 2021 - Dec 2022

  • Built and delivered integrated marketing mix models for multiple rare disease brands, across different geographies (US, Japan and European markets) using linear and non linear regression. Optimized promotional spend across multiple channels resulting in an estimated 30% increase in annual revenues• Assisted the executive suite of a leading Japanese pharmaceutical client in developing an improved targeting and alignment strategy for expanding US operations in a niche therapeutic market. Created a classification matrix for accounts based on based on engagement, sales & profile parameters and used it in conjunction with ML models to identify high potential targets, leading to a 50% increase in the number of targeted accounts• Used Market Basket Analysis to determine the actual burden of a treatment on the healthcare system by identifying the top comorbidities associated with different oncology treatments Show less • Optimized targeting strategy for a late-stage oncology drug by utilizing machine learning techniques (logistic regression, random forest) to identify key drivers behind patient progression in rare-disease treatments and predict patient outcomes• Developed ML based classification/clustering models for patient profiling and disease stage classification utilizing automated feature selection and hyperparameter tuning• Developed custom patient analytics dashboards, using claims data to interactively explore patient demographics and visualize patient journeys across disease stages; reduced time taken for developing patient analytics workflows by 50% Show less

  • Senior Associate - Decision Science

    Apr 2022 - Dec 2022

  • Associate - Decision Science

    Jun 2021 - Mar 2022
• 

  Mastercard

  Jan 2023 - now

  Consultant - Strategy and Analytics

  • Advising clients across diverse industries on analytics strategies tailored to address specific business challenges• Utilized advanced platforms like SQL, Hadoop, Python, and Tableau to analyze extensive datasets (over 100 billion transactions) and extract actionable insights• Created compelling narratives and insights to support informed decision-making and enhance understanding of data trends• Developed propensity models using machine learning techniques, including Random Forest and Gradient Boosting, to enhance product upgrades and optimize EMOB targeting strategies• Conducted competitive benchmarking of client portfolios using market research and Mastercard ‘s proprietary transaction-level data• Merchant analytics: Conducted performance analysis and benchmarking for merchant transactions and provided data-driven recommendations to optimize authorization rates for subscription-based payments across various regions• Campaign Analytics: Designed campaign mechanics and conducted performance analysis for email-based marketing campaigns to boost card usage and drive customer reactivation for multiple issuers• Led the generation and delivery of over 200 monthly performance reports on authorization and fraud metrics for issuers in North America and Latin America• Analyzed customer payment processes, including security (authentication, authorization), transaction facilitation (clearing), and risk management (fraud, chargebacks, representment) using both structured and unstructured data sets Show less