Analytical professional with an engineering background and a postgraduate in Data Science (Level 9, in progress). Skilled in Python (Pandas, NumPy, TA-Lib), R, and SQL. Developed real-time predictive models and systematic trading frameworks, utilizing Scikit-learn for regression analysis and conducting rigorous hypothesis testing (ANOVA, t-tests). Proficient in advanced data visualization (Bokeh, Seaborn) and ETL processes, with a focus on delivering actionable insights from complex, live datasets.
Pinned Loading
-
crypto-trading-bot
crypto-trading-bot Public"Professional Binance Futures trading framework with symmetrical architecture. Features live Bokeh dashboard, ATR-based dynamic risk management, automated data fetching, and robust backtesting engi…
Python 1
-
logistic-regression-projects-datascience
logistic-regression-projects-datascience Public**R + Python Binary Logistic Regression** | Case Studies
Jupyter Notebook 1
-
linear-regression-projects-datascience
linear-regression-projects-datascience Public**R + Python Multiple Linear Regression** | Case Studies
Jupyter Notebook 1
-
eda-bank-churn
eda-bank-churn Public**R + Python Exploratory Data Analysis & Management** | Bank Churn Case Study
Jupyter Notebook 1
If the problem persists, check the GitHub status page or contact support.

