Dinesh Grewal

Experience

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  DXC Technology

  May 2015 - Jan 2019

  • Programmer Analyst

    Jan 2018 - Jan 2019

  • Data Analyst | Business Intelligence/Analysis

    May 2015 - Jan 2019
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  GainInsights

  Feb 2019 - Dec 2019

  Machine Learning Engineer

  Worked with the team of data engineers and data scientists to design/develop and deliver data science platform as a product. Developing machine learning concepts to provide business solutions, for business people.- Designed and integrated the various ML algorithm to the products.- Visualization using various open-source libraries.- Reporting, Solutioning, Business interactions

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  AXA

  Feb 2020 - May 2022

  Process Lead

  - Successfully developed chatbot platform which was further used to integrate with various internal teams as a part of automation using AZURE platform.- Working with various teams to develop a process/tool to define, capture, and prioritize potential innovation and technology evaluation opportunities.- Performing research and hands-on investigation, prototype potential solutions, and document results for internal stakeholders.- Used OCR Solution to automate processes that require document processing on unstructured/structured / semi-structured data. Tools used - ABBYY, Azure form recognizer, Ai fabric.- Serve as an advocate and liaison for innovation exploration – educating groups on the innovation evaluation process. Show less

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  Amadeus Labs

  May 2022 - now

  Software Development Engineer III

  Focusing on improving the customer experience and information sources for machine learning in airline and hospitality forecasting products using data science tools in Amadeus. This involves a comprehensive approach starting with data collection and integration from various sources such as booking systems, data from airline regulators, public data and market trends. - The data then undergoes rigorous cleaning and preprocessing to ensure accuracy and reliability. - Exploratory Data Analysis (EDA) is conducted to uncover patterns and trends, followed by feature engineering to create meaningful features for the machine learning models. - Using Amadeus's data science tools, models are developed employing techniques like predictions, and forecasting to generate accurate forecasts. - Once trained and validated, these models are deployed within the Amadeus platform for real-time forecasting, contributing to enhanced decision-making and improved customer experiences in the airline and hospitality sectors. - Continuous accuracy monitoring monitoring, feedback integration, and model improvement ensure sustained performance and relevance over time.Dashboards - Quicksight, Tableau and Excel etc Show less