Harel Hanuka

B.Sc Mathematics
M.Sc. Computer Science

Student | Data science

harelhanuka@gmail.com 052-7710779

About Me

B.Sc. in Mathematics and currently pursuing an M.Sc. in Computer Science, with two years remaining. I am seeking a full-time position as a data scientist at a company aiming to make a meaningful impact.

Outstanding communication and organizational skills. Highly motivated with a strong work ethic. Excellent technical and analytical abilities, along with a high attention to detail, quick self-learning capabilities, and creativity in problem-solving.

About the journey

I pursued a B.Sc. in Mathematics at the Hebrew University to gain a deep understanding of advanced mathematical concepts and develop strong analytical thinking skills. Recognizing my passion for data science, I began learning Python and applied my knowledge by developing projects involving external APIs, text analysis, and information extraction.

To further my expertise, I embarked on an M.Sc. in Computer Science (Machine Learning specialization) to strengthen my skills in data-driven problem-solving. This semester, I am expanding my knowledge through courses in Natural Language Processing (NLP), Data Structures, and Software Engineering, with upcoming studies in Machine Learning, Computer Vision, Generative AI, and more.

I am eager to leverage my mathematical and computational background to tackle real-world challenges in data science and AI.

My Experience

Education

2020 – 2022
B.A. History at The Hebrew University
2018 – 2023
B.Sc. Mathematics at The Hebrew University
2024 – present
M.Sc. Computer Science specializing in ML at Hadassah Academic College

Work

2011-2015
Service at the Armored Corps
2019
Mathematics Tutor – Teaching high-school, pre-academic, and college students basic and academic mathematics.
2022
Teacher assistant in Mathematical course (calculus 1) at Reichman University

Skills

Python Mathematics Machine Learning Data Structures Data Analytics NLP Problem Solving NumPy Pandas PyTorch PostgreSQL API Self Learning

Projects

Sentiment Analysis using BERT (Fine-Tuning with PyTorch & Hugging Face)

This repository contains a complete, beginner-friendly project for fine-tuning a pre-trained BERT-based model for binary sentiment analysis (Positive/Negative) using Hugging Face Transformers and PyTorch, optimized for low-resource environments like Google Colab.

WhatsWpp-Analysis

This Streamlit-based web application allows users to upload WhatsApp chat exports and perform detailed analyses of their group conversations. The study includes visualizations and rich details about the interactions within the chat. The application processes chats extracted from Android devices and generates insights into the conversation patterns.

MSA-150 Stock Analysis Tool

MSA-150 is a powerful stock analysis tool that identifies promising technical patterns based on the 150-day moving average. The application analyzes stocks from major indices (NASDAQ 100, S&P 500) and ETFs daily, helping traders identify potential opportunities by monitoring specific technical criteria.

NBA-API-project

This Python script facilitates the retrieval of NBA basketball game information from the ESPN API, processes the data, and then sends notifications to both a Telegram group and a WhatsApp group.

WW1 Soldier Details Extraction Tool

This Python file contains the main code of the project, and extracts relevant details about deceased soldiers from scanned XML files of British newspapers during World War I. The tool processes these files to identify and extract names, private numbers, and cities of origin and outputs the data into a structured CSV format.

Weather-investigation

In this project, I took information about the weather data in the cities of Jerusalem and Tel Aviv between the years 1979 and 2023 (2024 is also included but the information is partial) and used tableau to analyze and present the data, differences, and processes. all the information is from OpenWeatherMap.