Ashish Malik

About Ashish Malik

As a Data Product Manager at GlobalLogic, I lead the development of AI-powered platforms that provide advanced forecasting methods, enabling strategic decision-making on market opportunities and competitive landscapes. Collaborating with the Data Science team, I create services utilizing Large Language Models (LLMs) to generate detailed chart and graph descriptions and help design AI-based protocol recommendation models predicting trial success and develop investigator recommendation engines that identify capable investigators, select qualified sites, and analyze clinical trial landscapes to optimize enrollment. My work is driven by a passion for transforming data into actionable insights through innovative AI solutions.I am passionate about empathizing with customers, solving their problems, and taking data-backed decisions. I have a strong background in agile methodologies, product discovery, and Jira, and I have earned several certifications and honors in these fields. I aspire to be a product leader with an interest in building products that can improve the lives of billions of people. I am also a poet, anchor, and teacher by hobby, and I enjoy coaching, discussing, and living the journey of product management.

Experience

1. Consultant (Data Science Pm)

   GlobalLogic

   Oct 2023 — Present · Noida, IN

   Leading the development of a platform, powered by generative AI, where users can access different forecasts methods and triangulate derived information to make decisions on competitive landscape, market opportunities and forecasting in general.• Collaborating with the Data Science team to create a service utilizing a Large Language Model (LLM) that generates detailed descriptions of charts and graphs (widgets) within a user-friendly interface. These descriptions enhance users\' understanding of each widget’s purpose, displayed insights, and the underlying data.• Designing an AI-based protocol recommendation model that predicts the success correlation for primary endpoints, inclusion and exclusion criteria, based on therapeutic area/disease, trial phase, and patient segment.• Developing an investigator recommendation engine that: • Identifies and selects investigators capable of enrolling specific patient populations based on regional demand and availability. • Chooses qualified, experienced investigators and sites to run clinical trials, leveraging accurate enrollment and trial timing data. • Analyzes the current and future clinical trial landscape to understand its impact on enrollment.

Education

• SPJIMR SP Jain Institute of Management & Research

  Post Graduate Programme in Management (PGPM), Information Management, Information Management

  2021

• The University of Texas at Austin

  Advanced Program in Information Management for Business Excellence

• Jamia Hamdard

  Bachelor of Technology (B.Tech.), Information Technology

  2010 — 2014

Skills

• Iphone Application Development
• Ios Development
• Ios