• Hi!
    I'm Shon

    Industrial Engineering graduated (Data Science major),
    Looking for my next adventure

    Download CV

  • I am
    a Indusrial Engineer

    Seeking to create possibilities out of opportunities.

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About me

Hey! I'm Shon Shchori

An Industrial Engineer (Data Science major), creative and motivated with strong analytical and self-learning skills. Experienced in Python, SQL, and other tools, as well as in team leadership and management under pressure. Multitasker with excellent interpersonal communication and great teamwork skills.

These days I'm working as Research Assistant, as part of Machine Learning research, in which we're identifying the relationships between musical preferences and personal traits, with ML models such as Hugging Face's NLP models and more.

Besides the studies, I work on projects to keep developing and extending my knowledge about the data science world. Feel free to reach me or my GitHub to see more! 📈

In my free time, I like running, reading, playing guitar, and sometimes even drawing (although since I started my studies, my iPad is used more like a notebook rather than a drawing canvas).

Python

Data Analysis

SQL

Data Visualization

Here are some of my expertise

Key Accomplishments

Data Analysis Expertise

Proficient in data-related programming languages including Python, SQL, and R with experience in machine learning techniques. Skilled in leveraging these tools to extract insights from complex datasets, and experienced in conducting data cleaning, pre-processing, and analysis to ensure high-quality inputs for machine learning models.

Interdisciplinary Collaboration Experience

Effectively collaborated with interdisciplinary teams, contributing to regular meetings to discuss findings, explore new approaches, and improve research methodologies. Able to leverage strong communication skills and a data-driven approach to foster a collaborative and supportive team environment.

Team Management

Strong project management skills demonstrated by successful management and supervision of a team of 40 employees including officers, investigators, and detectives in the IDF Criminal Investigation Division.

Academic Excellence

Recognized on the Dean's List for excellence in studies during the first and second years at Ariel University.

Software

Separated they live in Bookmarksgrove right at the coast of the Semantics

Application

Separated they live in Bookmarksgrove right at the coast of the Semantics

Researches
Courses
Cups of coffee
GPA
My Specialty

My Skills

I'm excited to share with you the tools and techniques I've developed in the field of data science and beyond. Each skill bar represents a journey of learning and growth, from the foundational principles of Python and SQL to the depths of data analysis and beyond. I invite you to explore these skills as a testament to my dedication to mastering the tools necessary for driving impactful insights and solutions.

Python

95%

Data Analysis

90%

SQL

80%

ML & AI Coding

85%

R

70%

Data Visualization

90%
Education

Education

During 2020-2022, I included in the Dean's List for outstanding performance in my first- and second-year studies.

  • Data Science Major
  • Machine Learning
  • SQL
  • Advanced Data Mining and Analysis in Python
  • Information Systems Design

hands-on exercises in computer vision and natural language processing. You’ll train deep learning models from scratch, learning tools and tricks to achieve highly accurate results. You’ll also learn to leverage freely available, state-of-the-art pre-trained models to save time and get your deep learning application up and running quickly.

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The course covered SQL techniques for data extraction, manipulation, and analysis. Topics include querying data efficiently, sorting and summarizing data, creating analysis tables with UNION, and manipulating strings, dates, and numeric data for analysis. Gained essential skills in utilizing SQL for diverse data analysis tasks.

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Courses for basic and advanced Python language. Learning the basics as well as an in-depth and rich study of advanced topics in the language and provides a lot of practice and experience in writing code in the language.

Experience

Work Experience

Research Assistant Ariel University | 2022 – Present

Participates in a variety of studies, including medical studies
o Leverages a range of Machine Learning tools, including scikit-learn, Hugging Face Transformers and different APIs, to analyze existing data and make predictions across diverse target variables.
o Conduct data collection, clean, and analyze to ensure high-quality data inputs for machine learning models.
o Collaborate effectively with a team of researchers, participate in regular meetings to discuss findings, and improve research methodologies.

Chargeback Analyst Justt | 03/2022 – 08/2022

Fintech start-up that recovers lost funds for merchants due to chargebacks.
o Created and analyzed Professional Chargeback cases for global merchants.
o Handled and analyzed big datasets.

Deputy Commander of the Beersheba CID base IDF, Criminal Investigation Division | 07/2016 – 01/2018

o Developed strategic plans of investigations, intelligence operations and the operational section of the unit.
o Managed, supervised, and trained 40 employees (officers, investigators, and detectives), and numerous projects in parallel.

What do I work on?

My Projects

Property Price Prediction

This project focuses on predicting property prices using a machine learning model. It includes exploratory data analysis (EDA), preprocessing of the data, training an ElasticNet model, and creating a Flask application for predicting property prices based on user input.

The Sound of Emotions

This research proposes a novel methodology for predicting emotions from a musical piece based on a two-layer AI

Poland Cars Data Analysis

Analysis of vehicles data in Poland and vehicle price prediction, as part of an Data Analysis Fundumentals Course

100 49

Student Database Project

This project is a student database built using MySQL, Flask, and other Python libraries. It allows users to perform various actions related to students, courses, and grades, directly from a web interface.

NBA Players Data Analysis

This data analysis project using NBA players data to predict salaries. In this project, Python's pandas, seaborn, matplotlib, numpy, and sklearn libraries are utilized for data wrangling, handling, and visualization.

Gradient Descent Explained

This repository contains Python code for implementing gradient descent, stochastic gradient descent (SGD), and mini-batch gradient descent (MBGD) algorithms for simple linear regression.

Get in Touch

Contact

sshchori100@gmail.com

Shon Shchori

+972 522-996465