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jmajety-dev/README.md

πŸ‘‹ Hi, My name is Jitesh Majety

Software Developer with over 3 years of experience in Software Development, Data Science, and Data Engineering. I am passionate about solving complex problems and building scalable applications in Big Data and Machine Learning. I recently graduated from the University of Maryland, College Park - Masters in Software Engineering.


πŸš€ About Me:

  • Certified AWS Developer and IBM Data science Professional with a strong background in cloud development and data pipelines.
  • Proficient in Python, Java, PySpark, SQL, JavaScript, React, Django, and Cloud Engineering.
  • A dedicated team player with a "whatever it takes" mentality, driving projects to completion while ensuring client satisfaction.
  • Expertise in system design, Big data (PowerBI, Tableau), and machine learning (Keras, Pandas).

πŸ’Ό Notable Projects:

  • Norton Health Solution

    • Designed and deployed a secure cloud architecture using Terraform, ensuring compliance with HIPAA and PCI standards.
    • Improved deployment times by 30% and reduced data recovery time by 40%, ensuring data security and operational efficiency.
  • YouTube Data Analysis

    • Developed an end-to-end data engineering pipeline using PySpark, AWS, and SQL, enabling insights into user behavior and trends across 200 YouTube videos daily.

πŸ—οΈ What I'm Working On:

  • Building and optimizing large-scale data pipelines and machine learning applications using Apache Spark, PySpark, and AWS EMR.
  • Implementing cloud solutions focused on security and real-time analytics for enterprise-level projects.

πŸ”§ Technical Skills:

Python Java PySpark SQL JavaScript React Django AWS Docker Kafka Terraform Power BI Tableau


πŸ“« Let's Connect:

LinkedIn GitHub

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  1. Norton-Healthcare Norton-Healthcare Public

    HCL

  2. Youtube-data-analysis-pipeline Youtube-data-analysis-pipeline Public

    Python

  3. Freedemy Freedemy Public

    Forked from pothuguntaumesh/Freedemy

    Freedemy

    Python

  4. DeNoising-the-images-using-AutoEncoders DeNoising-the-images-using-AutoEncoders Public

    Reducing the noise of the image using AutoEncoder model with 95.2% aaccuracy

    Jupyter Notebook

  5. Airbnb-rental-Dashboard Airbnb-rental-Dashboard Public

  6. data_engineer_challenge data_engineer_challenge Public

    Forked from AAK-Tele-Science/data_engineer_challenge

    Challenge for data engineer candidates

    Jupyter Notebook