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Prashant G.

Prashant G.

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location of Prashant G.Mechelen, Flemish Region, Belgium

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  • Timeline

  • About me

    Data Scientist | Machine learning Engineer | Cloud Developer

  • Education

    • Universitat Polit��cnica de Catalunya

      2023 - 2023
      Big data management and Analytics Computer Science

    • Sunbeam School Bhagwanpur varanasi

      2013 - 2014
      Intermediate Science 86.6%

    • Université libre de Bruxelles

      2022 - 2023
      Master of Science - MS Computer Science

      Specialization in Big data Management and Analysis

    • Thapar Institute of Engineering and Technology

      2015 - 2019
      Bachelor of Technology Computer Science 8.56

      Activities and Societies: Swimming, Coding, Binge Watching ➢ Auto-Dinette(Django,RFID)▪ Solves the problem of food wastage in mess.▪ Segregate Biodegradable and Non-Biodegradable waste.▪ Make the mess System automized.➢ Hindi Stemmer (May 2018) (NLP, Python)▪ Stemmer to find the root words of Hindi words.▪ Used Codecs module to read Hindi letters.➢ Mood based music Recommender System (Jan-Mar 2018) (Python,OpenCV)▪ Recommends Music according to the facial expression of the User.▪ Used OpenCV to find face and… Show more ➢ Auto-Dinette(Django,RFID)▪ Solves the problem of food wastage in mess.▪ Segregate Biodegradable and Non-Biodegradable waste.▪ Make the mess System automized.➢ Hindi Stemmer (May 2018) (NLP, Python)▪ Stemmer to find the root words of Hindi words.▪ Used Codecs module to read Hindi letters.➢ Mood based music Recommender System (Jan-Mar 2018) (Python,OpenCV)▪ Recommends Music according to the facial expression of the User.▪ Used OpenCV to find face and fisherface recognizer to classify it.➢ Language N (AUG 2017) (C++)▪ Language developed to play TIC-TAC-TOE game.▪ Used gcc compiler to develop our compiler for this language.➢ Reel2Roll (AUG-NOV 2017) (Django, Python)▪ A website to recommend movie based on the past movie watched.▪ Used Collaborative deep learning to find the user most similar to him/her and recommends movie. Show less

    • ULB

      2022 - 2024
      Master's degree Data science

    • Università degli Studi di Padova

      2023 - 2024
      Master's degree Deep learning

    • ULB

      2022 - 2024
      Master's degree Big Data Management and Analytics

  • Experience

    • Juniper Networks

      Jan 2019 - Jun 2021

      Contrail HealthBotContrail HealthBot is a network health and diagnostic solution that provides consistent and coherent operational intelligence across network deployments.- Owned and enhanced and the CI/CD infra- Build the Version based Test Infra- Developed new feature for easy deployment. - Created web page for getting server configuration for application deployment- Created web page for publishing scale results- contributed to open source project

      • Software Engineer 2

        Apr 2021 - Jun 2021

      • Software Engineer 1

        Jul 2019 - Jun 2021

      • Software Intern

        Jan 2019 - Jun 2019

    • Licious

      Jun 2021 - Aug 2023
      Backend AI Engineer

      Optimised engineered features by creating a data model pipeline using ETL to be fed into the model for forecasting region-wise product demand.Led multiple A/B testing experiments to enhance early funding rates, activation, retention, and user experience.Designed a tool for archiving MongoDB documents to AWS S3, deployed in production, and successfully archived 50 million documents without any latency drop in the database using Aws lambda.Led a team to stabilise Metabase and transition the entire organisation from Amazon RDS to Redshift in just two months, cutting the timeline from four months.Added an Alert Generation module to automatically generate & dispatch slack notification, notifying stakeholders about system failures.Built in-house distributed model storage system based on HDFS and MySql and developed configurable interfaces for efficient storage, retrieval and management.Managed campaigns and user engagement insights using Clevertap, deriving actionable insights.Tech Stack: Python, Scala, Airflow, Kuberenetes, AWS lambda, AWS SQS, Kafka, AWS EMR, Machine learning. Show less

    • Erasmus Mundus Programme

      Sept 2022 - Oct 2024
      Graduate Student

    • XSOR Capital

      Feb 2024 - Jul 2024
      Data Scientist

      - Innovated ML-driven trading strategies that dynamically adjusted to market conditions, resulting in a 20% increase in trading profits and reduced risk exposure by 12%- Crafted a price management strategy leveraging statistical analysis to determine the optimal timing for exiting trades and maximising profits.- Introduced filters to remove the bad trades based on time, volatility and candle patterns, removing 90% of signals.Tools: MT5 trader, Seaborn, Python

  • Licenses & Certifications