Yash Shah

Data Analyst, Machine Learning

Skills

  • Programming Languages: C, C++, Python, SQL
  • Web: HTML, CSS3, JavaScript, Bootstrap, Node.js
  • Analytics and ML: NumPy, Pandas, TensorFlow, Scikit-learn

Tools

  • Database Tools: MySQL, MongoDB
  • Visualization Tools: PowerBI, Python Libraries

Software

Jupyter, Android Studio, VS Code, Microsoft Office

Domains

Data Analytics, Data Science
About me

Hello! I'm Yash Shah, a Computer Science Engineer with a Bachelor's degree in Computer Science and Engineering from Charotar University of Science and Technology University.

I have a passion for exploring the vast world of data. Through my studies and personal projects, I've developed a keen interest in leveraging data to uncover valuable insights and drive informed decision-making.

My passion for coding started in my initial years of college when I participated in various Hackathons. I possess a keen interest in the realm of business and data analytics, having diligently followed the stock market for the past three years. My passion lies in deciphering valuable business insights from raw data, and I am committed to exploring the intricate details that data analytics has to offer in the pursuit of informed decision-making and strategic planning within the business domain.

Education

Bachelors of Computer Science and Engineering

2020 - 2024

Work Experience

Web Application Developer Intern

SilverTouch Technologies Ltd - Ahmedabad

May 2022 - June 2022

Responsibilities:
  • We were assigned a frontend project which was dedicated for a pharmaceutical company.
  • The industry exposure during the 2 months tenure was immense as we got hands on experience of dealing with real-world problems.
  • The experience of dealing with Javascript and other frontend languages helped us to get the cogent view of developing a web application.

    • Data Science and Machine Learning Intern

    BrainyBeams Technologies Ltd - Ahmedabad

    May 2023 - June 2023

    Responsibilities:
  • A training was being provided by the industry executives about approaching and solving the problems encountered in real-world.
  • A project was assigned on performing the car-price prediction using machine learning algorithms.
  • The required tools and technologies in the domain of Data Science such as Pandas, Numpy libraries and Machine Learning models.

    • Data Science Intern

    Kintu Designs - Surat

    January 2024 - Present

    Projects and Publication

    Comprehensive Analysis of Hospitality Trends

  • This project empowers stakeholders to make informed business decisions by leveraging the capabilities of Microsoft PowerBI.
  • It provides valuable insights into crucial parameters like Revenue, Occupancy, Average Daily Rate, and more.

    • Amazon Sales Data Analytics

  • Leveraging Power BI to seamlessly integrate and visualize your Amazon sales data, providing real-time, comprehensive insights into key performance indicators, customer behavior, and market trends.
  • The dynamic dashboards in PowerBI enables quick identification of opportunities.

    • IPL - 2023 Analytics

  • A comprehensive and unique data visualization project on Indian Premier League-2023 in PowerBI.
  • The dynamic dashboard prepared shows the best case scenarios for selecing the best XI of the season.
  • The concepts used in python are data cleaning and libraries of Python

    • Streaming Insights: Unraveling Netflix with EDA

  • This project includes data cleaning to a large extent of more than 8000 rows.
  • The project addresses key inquiries such as the peak release year of TV shows & Movies on Netflix, details about the various shows and a visual showcase of the top 10 directors who have made significant contributions to the platform.

    • Scholar Shelf: A resource management application

  • ScholarShelf is a platform exclusively designed for Charusat Students.
  • ScholarShelf is developed for the sole purpose of being an effective way to communicate and meet the requirements of students who are willing to enhance their learning.
  • It currently has more than 2K visitors and 7k page views.

    • Research Paper on Unveiling anomalies in surveillance videos through various Transfer Learning Models

  • The paper aimed at conducting a thorough examination of deep learning models like Densenet121, VGG16, VGG19, and Resnet50 in the context of anomaly detection in videos. The objective was to unravel insights into the capabilities of these models.
  • The study uses subsets of various classes of UCF crime datasets.

    • Contact
    • shahyash452@gmail.com