I am a Data Analyst and M.Sc. Statistics graduate with a strong foundation in statistical analysis, probability, hypothesis testing, regression, and forecasting. I use data to answer business questions and support evidence-based decision-making.
I work with SQL and Python to collect, clean, validate, transform, and analyze large datasets. My analytical workflow includes exploratory data analysis, feature engineering, data quality checks, and structured reporting.
I build stakeholder-facing dashboards and KPI trackers using Power BI, DAX, and Tableau. I enjoy translating complex analysis into clear visual insights that help teams identify trends, risks, and improvement opportunities.
My experience includes data analysis internships involving relational database queries, large-scale data preparation, business reporting, industrial growth forecasting, and government datasets. I have also completed projects in workforce analytics, retail sales analysis, and agricultural price forecasting.
I have applied machine learning methods including Random Forest, LSTM, classification, model evaluation, and ARIMA forecasting. I am seeking a Data Analyst role where I can apply my statistical background, technical skills, and business-focused analytical approach to real-world decisions.
