Data Analyst

Responsibilities:
Collect, clean, and analyze financial market data.
Extract meaningful features and identify important patterns.
Prepare statistical reports and analytical insights.
Build and prepare datasets for AI and Machine Learning models.
Collaborate with cross-functional teams to improve data quality and model performance.
Requirements:
Familiarity with or strong knowledge of supervised learning methods, particularly Classification and Regression models.
Ability to analyze data distributions and feature relationships using Box Plots, Correlation Analysis, and Exploratory Data Analysis (EDA) techniques.
Proficiency in Python.
Strong experience with Pandas, NumPy, and SQL.
Good understanding of statistics, data visualization, and feature engineering.
Experience in data collection, cleaning, preprocessing, and validation.
Familiarity with financial market data and quantitative analysis.
Ability to work with large datasets 
and produce analytical reports.