Disha ..

Transforming Insights into Action with AI/ML Expertise

With over 14 years of experience, I am a seasoned AI/ML Scientist committed to addressing complex business challenges across various domains. My recent focus involves enhancing customer service experiences through the development and application of cutting-edge large language models. Expert in data science, deep learning, and statistical modeling, my journey is driven by a passion for converting raw data into meaningful insights that drive decision-making and innovation. Skilled in Python, R, SQL, and an array of analytics tools, I continuously seek to merge technical acumen with business acuity to deliver impactful solutions.
Disha ..

Experience

  • Amazon

    Sr. Research Scientist

    Oct 2021 - Present

    Amazon is a global leader in e-commerce and cloud computing services, known for its customer-centric approach and innovation in technology.

    • Successfully optimized customer contacts using Natural Language Understanding (NLU) and Large Language Models (LLMs) for enhanced support experiences.
    • Led initiatives in Multimodal Customer Experience (CX), significantly improving interaction efficiency and customer satisfaction.
    • Implemented content moderation strategies and conducted LLM evaluations to ensure quality and compliance.
  • Amazon

    Data Scientist III

    Apr 2020 - Oct 2021

  • Amazon

    Data Scientist II

    Oct 2017 - Apr 2020

    • Optimized Auto BatchPass for improved customer experience, reducing SLA misses while enhancing operational efficiency.
    • Conducted causal impact analysis to assess the effects of enforcement actions on customer spending, helping refine strategies to minimize negative impacts.
    • Developed tools to identify drivers of increased bad debt, aiding in preventative measures and financial risk management.
    • Pioneered the Virtual Investigator Project, automating fraud analysis using machine learning, thus reducing manual labor and error.
  • Amazon

    Data Scientist

    Jun 2016 - Sep 2017

    • > Use predictive analytics and data mining to solve complex problems and drive business decisions. > Employ the appropriate algorithms to discover patterns of risks, abuse, and help reduce bad debt > Design experiments, test hypotheses, and build actionable models to optimize business processes > Solve analytical problems, and effectively communicate methodologies and results > Draw relevant inferences and insights from data including, identification of trends and anomalies > Work closely with internal stakeholders such as business teams, product managers, engineering teams, and partner teams and align them with respect to my focus area
  • Reliance Games

    Reliance Games

    Data Scientist

    Dec 2015 - Jun 2016

    Reliance Games is a prominent mobile game developer and publisher with over 500 million downloads globally, recognized for titles in collaboration with major international entertainment brands.

    • Spearheaded the development of churn modeling and recommendation engine projects, boosting user retention and in-app purchase effectiveness by 20%.
    • Strategized and executed a comprehensive Big Data architecture plan, enhancing analytics capabilities and streamlining data processes over three years.
    • Led fraud detection and prevention projects which reduced instances of game piracy by 15%, securing revenue integrity.
    • Coordinated with global partners and vendors to refine data architecture, ensuring scalable and robust platform design.
  • Red Hat

    Red Hat

    Data Information Analyst

    Jul 2015 - Dec 2015

    Red Hat is a leading provider of enterprise open source solutions, known for its commitment to community-powered innovation and open source software development.

    • > Developed predictive models that accurately forecasted weekly revenues, increasing forecast accuracy by 15%.
    • Collaborated cross-functionally to transform business requirements into practical data-driven solutions, optimizing decision-making processes.
    • Led data validation and cleansing initiatives, which enhanced data integrity and reduced discrepancies by 30%.
    • Designed comprehensive dashboards and reporting tools, facilitating real-time data insights and improved operational efficiency.
  • Indian School of Business

    Indian School of Business

    Student

    Sep 2014 - Oct 2015

    The Indian School of Business is a premier Indian business school offering world-class management education and producing leaders in the global business environment.

  • Cognizant

    Cognizant

    Programmer Analyst

    Jul 2011 - Jul 2015

    • Worked on multiple projects, taking up different roles, working on data mining and analysis for Life Sciences domain.
    • Worked as Data Expert on a ETL development project using SAS Enterprise Guide for data mining
    • Worked extensively on Google Analytics / Digital Marketing, integrating offline and online advertising campaigns
    • Played BA-QA role carrying out the whole STLC process, handling client-facing roles, being involved in all the phases of project.
    • Acted as SME and Offshore Coordinator.

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