About me

Hey there 👋, I'm Malhar!

Currently pursuing a Master's in Data Science and Analytics at the University of Calgary. I have a background in Computer Science and Engineering, with a keen interest in AI and ML.

What drives me:
  • 🤖💬 Currently exploring Language Models (LLMs).
  • 🔍 Interested in AI and ML, practised through diverse projects and research initiatives.
  • 🌟 Contributing to a diverse range of projects and eager to learn.
  • 🚀 On the lookout for opportunities to expand my skills.
  • I'm all about competitive programming and hackathons— Always down for cool projects and fun collaborations, so don’t hesitate to reach out!

    What i'm doing

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      AWS Certified Cloud Practitioner

      Experienced in applying AWS solutions to build secure and efficient cloud-based systems.

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      AWS Solutions Architect*

      Actively pursuing AWS Solutions Architect Associate certification to further expertise in cloud development.

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      Medical Statistics II: Probability and Inference

      Earned Statistics certification from Stanford, mastering statistical concepts like probability, inference, hypothesis test, p-values, and equivalence testing.

    Resume

    Education

    1. University of Calgary

      Master in Data Science and Analytics Sept 2024 — August 2025

      Courses: Data & Visualization, Statistical Data Analysis, Statistical Modelling, Financial Data Modelling

    2. Dr. Vishwanath Karad MIT World Peace University (MIT-WPU)

      Bachelor of Technology in Computer Science and Engineering June 2019 — July 2023

      Courses: Data Science, Artificial Intelligence, Big Data Analytics, Deep Learning, Operating Systems, Database Management Systems, Data Structures and Algorithms, High-Performance Computing, Information Security, Blockchain Technology, Computer Networks.

    Experience

    1. Capgemini | Software Development Intern

      August 2022 - December 2022

      At Capgemini, I played a key role in developing and maintaining the Intelligent Operation Platform (IOP). This involved creating and managing data pipelines on Azure, developing APIs for seamless data flow, implementing workflow modifications to enhance dashboard performance, and deploying predictive models on Azure infrastructure. I also led collaborative efforts with the UI team to improve data visualization for enhanced user engagement.

    2. iBase Electrosoft LLP | Data Science Apprenticeships

      September 2021 - February 2022

      Worked on data preprocessing and cleaning initiatives using Python libraries like Pandas, NumPy, and SQL queries to ensure accurate data processing. Produced comprehensive reports and impactful visualizations with Matplotlib and Seaborn, facilitating well-informed decision-making. Additionally, gained experience in building and training deep learning models using TensorFlow and Keras.

    Projects

    Research

    Canvas

    Contact

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