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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.
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Disha ..

Experience

Oct 2021 — Present
Amazon

Amazon

Sr. Research Scientist

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.
Apr 2020 — Oct 2021
Amazon

Amazon

Data Scientist III

Oct 2017 — Apr 2020
Amazon

Amazon

Data Scientist II

  • 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.
Jun 2016 — Sep 2017
Amazon

Amazon

Data Scientist

  • > 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
Dec 2015 — Jun 2016
Reliance Games

Reliance Games

Data Scientist

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.
Jul 2015 — Dec 2015
Red Hat

Red Hat

Data Information Analyst

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.
Sep 2014 — Oct 2015
Indian School of Business

Indian School of Business

Student

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

Jul 2011 — Jul 2015
Cognizant

Cognizant

Programmer Analyst

  • 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.