At Innomatics Research Labs, I applied Python and SQL to prepare and analyze structured datasets. I handled missing values and used exploratory and statistical analysis to identify patterns and trends.
I used Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn for data manipulation, analysis, and visualization, and applied machine learning techniques to evaluate predictive model performance.
For my Sales Data Analytics Dashboard project, I analyzed sales data to surface revenue trends and customer behavior. I developed interactive Power BI dashboards with KPI metrics, filters, charts, and drill-down analysis.
In my Healthcare Data Analysis & Diabetes Prediction project, I analyzed healthcare data and built predictive models using Logistic Regression and Support Vector Machine. I also created a Streamlit application to present insights and prediction outcomes.
