Saleh Abednezhad
About Me
I’m a curious and passionate problem solver — a Data Scientist with experience in AI/ML Engineering, Data Analysis, and Data Engineering. I have strong skills in data analysis, machine learning, and visualization, backed by solid programming knowledge.
Interests
- Artificial Intelligence
- Stocks & Cryptocurrency
- Data Science & Big Data
- Pattern Recognition in Complex Datasets
- Working with Data and Databases
I enjoy working on complex problems with large datasets, exploring pattern recognition, and discovering the stories hidden in data. I love working on emerging technologies and turning raw data into actionable insights.
Education
MSc. Statistics & Data Science
Experience
Data Science Intern
- Data Science Bootcamp in 14 weeks
- Learning both technical and soft skills
- Worked on 3 projects in data analysis, Machine Learning, and Deep Learning as the team head of a 5-person group
Artificial Intelligence Developer
- Selected Artificial Intelligence Online Programming Contest for Digikala-Next AI Winter Camp
- A Startup Bootcamp for Building an AI Startup in the E-Commerce and Logistics Industry with the Support of Digikala.com Company; led to $100,000 fundraising in new revenue
- Scoreboard
- Practiced soft skills with teammates and software teams, looking for AI solutions
Projects
Coinmarketcap Data Analysis & Visualizing
Comprehensive analysis and visualization of cryptocurrency market data from CoinMarketCap, exploring price trends, market caps, and correlations between major cryptocurrencies.
Cryptocurrency Data Analysis with Machine Learning
Applied machine learning techniques to analyze cryptocurrency data, including generating trading signals with EMA and clustering coins by behavior.
Amazon Products Image Classification & Customer Reviews Sentiment Analysis
Built and evaluated deep learning models for Amazon product image classification and performed NLP sentiment analysis on customer reviews.
Sales Data Analysis
Analyzed sales data to uncover geographic and temporal trends, identify top-performing products, and generate actionable business insights.