MOHSUN HAZIYEV

MOHSUN HAZIYEV


Gurtulush 93, Baku, Azerbaijan +994702445512| h.mohsun@gmail.com

PROFILE

Data scientist with a strong math background and experience in data analysis, machine learning, and statistics. Extremely passionate and enthusiastic on spending most of the time increasing knowledge and skills required for data science and analytics to start working on real life projects and learn in practice.

RECENT WORK EXPERIENCE

Volunteer Data Scientist: Method Data Science LLC Summer 2018-Present DATA SCIENCE PROJECTS

Prediction of days before product going out–of– stock on e-commerce website by streaming eBay data using eBay API, using AWS to automate data extractions and storage and applying data cleansing, exploration, feature extraction and machine learning models to derive insights for clients.

Customer Calls Prediction - Prediction of the number of customer calls based on historical data (Auto Regression)

Time series analysis - Prediction of bond prices. Auto Regression Moving Average Model

House sales in King County - Predicting of house prices in a region of USA. Random Forest Regression.

Product stock prediction - Predicting days before product going out–of– stock on e-commerce website. Logistic Regression

Titanic ML project – Prediction of survivals in the disaster. Support Vector Machine

Senior Accountant: Southern Gas Corridor CJSC Fall 2014 - Present

Analyzing monthly budget execution of company and control of expenses. Calculation of interest income. Preparation of reports.

Financial Reporting Analyst: Royal Estate LLC Winter 2013 - Fall 2014

Conducted analysis regarding cost centers and made near $10K cost reductions. Double entry-

bookkeeping. Controlling of inventory. Preparation main financial reports for management.

Mathematics Tutor Winter 2006 - Summer 2009

Taught multiple math topics to high school students

TECHNICAL SKILLS

Machine Learning: classification, regression, clustering, feature engineering

Statistical Methods: regression models, logistic regression, principal component analysis and dimensionality reduction, perceptron.

Software and Programming Languages: Python (scikit-learn, numpy, scipy, pandas), R, Microsoft Excel

Math for data science: Linear Algebra, Probability and Statistics

EDUCATION

Qafqaz University Fall 2005 - Summer 2010

Bachelor of Economics

ACADEMIC HONORS AND AWARDS

3rd place in BigData Hackathon competition

Graduate Scholarship Award

5th place (score: 653 out of 700) in the region at the exam of university entrance

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