eshaal User

I’m an aspiring Data Analyst with hands-on experience across data cleaning, exploratory data analysis, data visualization, statistical analysis, and machine learning through multiple internships and real-world projects. I’m proficient in Python, Pandas, NumPy, Power BI, and data storytelling, and I enjoy transforming raw data into actionable insights.

Through projects like AQI-PAK Strategic Command| AirQuality Forecasting System, I processed and analyzed 123,000+ environmental records, engineered 112 predictive features, and built ensemble machine learning models achieving 94%+ accuracy. I also developed interactive dashboards using Plotly and Streamlit, along with forecasting and prediction work including Stock Price Prediction (time-series and LSTM) and DiabetesPredictionModel (EDA, feature engineering, and evaluation).

My internship experience strengthened how I handle messy datasets—cleaning, validating, preprocessing, and identifying data quality issues—while supporting model evaluation and documentation. I collaborate well with remote teams and I’m focused on delivering clear, decision-ready results through strong analysis and well-presented dashboards.