Pranav Gupta

Experience

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  AarogyaAI

  Jun 2020 - Sept 2021

  Data Science Intern

  ● Weeding out anomalies in the data of TB mutations and verifying them against another dataset. Skills learned - Pandas and working with dataframes.● To automate the calculations of Sensitivity, Specificity, Positive Predictive Value, and Negative Predictive Value by using the results from two ML models stored in CSV files.● Created a dashboard/frontend to display datasets and results stored in AWS S3 bucket. Skills learned - Boto-3, Streamlit.

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  Coding Ninjas Club SRM

  Oct 2021 - Feb 2023

  ● Used "Web scraping" with Python Libraries (BeautifulSoup and SelectorLib) to scrape data from a static table in a webpage and store that data in a CSV file using Pandas.● Understood "Object Localization" by creating a script in Python to find Waldo from pictures from the game "Where's Waldo".● Used OpenCV and Python and custom Handwritten Digit Recognizer Model to take a screenshot/image of a Sudoku puzzle, convert it into a matrix and then solve the Sudoku using Backtracking Algorithm.● Created an Image Inpainting model using Pytorch and my knowledge of GANs.● Performed data analysis on datasets from Kaggle by generating graphs, charts, and models using MatPlotLib, Numpy, and Pandas. Show less

  • AI/ML Associate

    May 2022 - Feb 2023

  • AI/ML Member

    Oct 2021 - May 2022
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  Next Tech Lab

  Nov 2021 - now

  ● Mentored freshers to the Lab in the field of AI/ML ● Participated in IntraNTL Hackathon - Created a website that can be navigated through hand gestures. Learned how to integrate MediaPipe in Python code and developed a model to predict up, down, left, and right depending on the position of the index finger. ● Completed courses from Coursera involving Computer Vision.

  • Syndicate

    May 2022 - now

  • Member

    Feb 2022 - May 2022

  • Associate

    Nov 2021 - Feb 2022
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  Silverpush

  Jul 2022 - Sept 2022

  Machine Learning Intern
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  Upthrust Inc.

  Jun 2023 - Aug 2023

  AI Intern

  Built LLM-based solutions in digital marketing. My work integrated the Meta Marketing API and PageSpeed insights API with LLMs to help fix SEO issues and increase ad conversions.

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  Samsung R&D Institute India

  Sept 2023 - now

  Research Intern

  Working on a novel pipeline involving semi-supervised learning in audio classification.

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  Odyssey Lab

  Dec 2023 - now

  Co-Founder

  Conducting research with 15 members and mentors from institutions like IIT, IISc, IIIT-Hyderabad, SRMIST and VIT.Working on topics like AI explainability, patten recognition, visual question answering and retrieval