Aakash Yadav

Experience

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  I2e Consulting

  May 2021 - Dec 2024

  • Saved more than 50 % of Clinical Research Pharmacist(CRP) time by creating a Chatbot based on Retrieval Augmented Generation (RAG) technology which can answer study team questions from unstructured data.• 30% increase in protocol design success rate by the binary classification model on historical data which will help identify the protocol which will have a Significant quality Event in the future.• Also created a Dash Dashboard to visualize the pattern in SQE historical data.• Coordinating with stakeholders to understand and refine business requirements and get the right data. Show less • Created an ML-powered alert system that can help clinical sites to plan clinical trials according to the critical events happening all over the world so that it doesn’t affect the clinical trials.• Saved 40% of business time by automating the manual efforts to generate the Gantt chart using Selenium and UI path.• Developed an integrated platform on Dataiku for analyzing project management data from tools like “Planisware” and passing it on to visualization tools like PowerBI or Tableau Show less • Detect 50% of fraud calls in real-time by using Azure speech to Text functionality and Azure LUIS (Natural language understanding) model.• Helped users with the related new article for supporting their future predictions on global events which can have an effect on the drug development lifecycle by training the FastText Large language model (LLM) on domain data and creating a Recommendation system. • Also got an opportunity to learn basic Data Collection (connecting the endpoint and collecting the data using Python and swagger API) and Data Preprocessing using Tokenization, Lowercasing, stopwords removal, Stemming, and Lemmatization. Show less

  • AI Engineer

    Sept 2022 - Dec 2024

  • Trainee-Software Developer(AI/ML)

    Aug 2021 - Sept 2022

  • AI & ML Intern

    May 2021 - Jul 2021
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  Deloitte

  Dec 2024 - now

  AI Consultant