Atajan Arashev

I am a detail-oriented and results-driven data science student with a strong foundation in statistical analysis, machine learning, and data-driven decision-making. With hands-on experience in Python, RStudio, SQL, and Tableau, I have applied my skills to a wide range of projects, including predictive modeling, time-series forecasting, and business analytics. My passion lies in uncovering actionable insights from complex datasets to solve real-world problems. I have successfully led projects related to stock market predictions, employee analytics, and market segmentation, leveraging advanced machine learning techniques and data visualization tools to drive strategic business decisions. As I approach my graduation in December 2024, I am eager to apply my expertise in a professional setting where I can continue to grow and contribute to data-driven initiatives. My goal is to help organizations harness the power of data to make informed, impactful decisions.

Experience

Skills

• Python: Proficient in using Python for data manipulation, analysis, and machine learning with libraries such as NumPy, Pandas, Scikit-learn, Keras, and Matplotlib.
  Project Reference: Bank Marketing Prediction
• RStudio: Expertise in time-series modeling, A/B testing, and statistical analysis using ARIMA, SARIMA, and GARCH models.
  Project Reference: NVIDIA Stock Prices Time Series Analysis
• SQL & MySQL Workbench: Strong knowledge of relational database design, complex SQL queries, stored procedures, indexing, and dynamic views.
  Project Reference: MySQL Real Estate Analysis

• Implemented classification models like Logistic Regression, Decision Trees, Random Forest, K-Nearest Neighbors (KNN) and regression models such as Linear Regression and Support Vector Regression (SVR) for predictive analysis.
  Project Reference: Bank Marketing Prediction
• Applied Long Short-Term Memory (LSTM) Neural Networks for stock price prediction and ARIMA models for time-series forecasting.
  Project Reference: Stock Market Predictions with LSTM Neural Networks
• Used Random Forest and Support Vector Machines (SVM) for both classification and regression tasks to enhance predictive accuracy.
  Project Reference: Bank Marketing Prediction

• Extensive experience in data cleaning, preprocessing, and analysis using Python (Pandas, NumPy) and SQL, ensuring data integrity and accuracy.
  Project Reference: Amazon Analytics
• Created interactive dashboards using Tableau to display insights, trends, and key performance metrics for business decision-making.
  Project Reference: Amazon Analytics
• Proficient in advanced Excel features such as pivot tables, VLOOKUP, financial modeling, and complex data visualization for effective reporting.

• Leveraged machine learning models and statistical methods to derive actionable insights, contributing to data-driven business decisions in areas like market segmentation, customer satisfaction, and pricing strategies.
  Project Reference: Amazon Analytics
• Analyzed employee data to track gender distribution, salary trends, and workforce allocation using SQL and Tableau.
  Project Reference: Employee Analysis Dashboard

Projects

Interests

Apart from being a data scientist , I enjoy mostly speanding my time watching or reading something intelectually valuable . My favorite podcast show is Dr.Huberman's show HUBERMAN LAB. I also enjoy watching documentaries and movies. My favorite books are The Big Data by Kenneth Cukier, and Atlas Shrugged by Ayn Rand. .

When forced outdoor, I enjoy to play soccer or tennis.In my daily routine I regullarly excercise in the gym . I also like to travel around the US and glob. My favorite place to visit is the local museums. I also enjoy going outcity for camping visiting old ancient places

Awards & Certifications

• President's List 2024 - University of North Texas
  

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• President's List 2023 - University of North Texas
  

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• Dean's List Nominee 2023 - University of North Texas
  View UNT Dean's List 2023
• IBM Data Analysis with Python Certification
  

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• SQL - MySQL for Data Analytics and Business Intelligence Certification
  

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