Tanmay Sharma

Experience

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  Infosys

  Apr 2023 - May 2023

  IOS Application Developer Intern

  - Completed an iOS app development internship, developing an efficient Hospital Management Application, working on the frontend development and database schema for the app.- Tried implementing natural language processing techniques for enhanced search capabilities, enabling users to efficiently find and retrieve content using natural language queries to improve the user-app experience.- Collaborated using agile project management tool JIRA to streamline the workflow of the project assigned. Show less

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  SRM IST Chennai

  Aug 2023 - Dec 2023

  Machine Learning Student Researcher

  - Worked on creating a two-layer hybrid framework employing dataset-specific Machine Learning techniques on high dimensional datasets for the prediction of selective and potent JAK2 inhibitors.- Got hand-picked and mentored by the Dr. Annie Uthra, Head of Department(HOD) of Computational Intelligence Department for the Interdisciplinary Project with BioTech Department.

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  AICTE NEAT

  Sept 2023 - Nov 2023

  AI-ML Intern

  - Learned the basics of AWS Machine Learning by utilising tools like Amazon SageMaker- Learned about Cloud Computing tools like EC2, S3, and basic networking concepts like Amazon Virtual Private Cloud (VPC).

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  ENERGY7

  Sept 2023 - May 2024

  Data Science Intern

  - Worked on real time data associated with Indian Railway sensors to predict anomalous behavior in various devices to ensure streamlined maintenance services.- Aiming to enhance data quality of real-time high-dimensional databases, with over 1 million tabular data points.- Utilized Auto-Encoders and Variational Auto-Encoders to detect anomalies within the dataset as a key component of the internship in unsupervised anomaly detection.- Collaborated and performed well in a fast-growing startup. Show less

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  Research at Department of Management Studies, IIT Madras

  Jan 2024 - Jul 2024

  Research Intern

  - Analysis of the overall heuristic performance of the 108 emergency ambulance service of Tamil Nadu, India. Examined over 60 features, including socio-economic features, geographical features, spatial features, and emergency characteristics features, for a dataset having over 3 million call records.- Performed various ML/DL techniques in order to better interpret the data, including training custom AutoEncoder Model for denoising data, time-series analysis, and regression model analysis.- Used interpretable machine learning techniques like SHAP to determine the actual involvement of different features while making a prediction.- The project is being mentored by Dr. Kandaswamy Paramasivan, Professor of Practice at IIT Madras, and research consultant in SRMIST. Show less

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  Self-employed

  Jun 2024 - Aug 2024

  Freelance Machine Learning Engineer & Data Scientist

  - Freelancer @UpWork- ML Developer Roles - Data Science Roles

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  DataTerminal

  Aug 2024 - now

  Associate Consultant - Data & AI