Harel Hanuka

B.Sc. Mathematics | M.Sc. Computer Science

Algorithm Developer

harelhanuka@gmail.com 052-7710779

About Me

Algorithm Developer with a strong foundation in Mathematics (B.Sc.), currently pursuing my M.Sc. in Computer Science. At my work, I focus on building efficient algorithms and ML models to solve complex, data-driven problems.

I am driven by technical innovation and a desire to make a meaningful impact through code. Beyond the technical side, I am a creative problem solver with strong organizational skills and a commitment to continuous learning.

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 and algorithms, I began learning Python and applied my knowledge by developing private projects.

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. Through this journey, I have expanded my knowledge with courses in Natural Language Processing (NLP), Data Structures, Software Engineering, Computer Vision, and more.

My advanced studies directly complement my professional work, allowing me to leverage a strong mathematical foundation to solve complex, real-world challenges.

My Experience

Education

2024 – 2026
M.Sc. Computer Science (ML specialization)
Jerusalem Multidisciplinary College
2020 – 2022
B.A. History
The Hebrew University of Jerusalem
2018 – 2023
B.Sc. Mathematics
The Hebrew University of Jerusalem

Experience

Jan 2026 – Present
Algorithm Developer
EY (Ernst & Young)
May 2025 – Dec 2025
Algorithm Developer
WeAlg
2024
Reserve Service
IDF
2022
Teacher Assistant
Reichman University
2019
Mathematics Tutor

Skills

Algorithm Development Mathematics Machine Learning NLP Big Data PyTorch / TensorFlow Data Pipelines SQL (PostgreSQL) Critical Thinking

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.