Embarking on a journey through the
data landscape.
I am an engineering graduate of 2024.
Currently open for work oppurtunities as data analyst
and data scientist roles.
Some of my personnel projects
Developed ML models using Jupyter Notebook.
Conducted a comprehensive model comparison, evaluating SVM, Sequential Shallow Neural Network,
Logistic Regression, and Gradient Boost algorithms based on recall and F1-score metrics, particularly on
an unbalanced dataset
Analyzed Amazon's sales data and extracted valuable insights using Python libraries within the Jupyter
Notebook framework.
Leveraged skills in Python, Pandas, Matplotlib, and Seaborn to analyze and visualize sales data.
Analyzed employee demographics and attrition rates within the company.
Explored various metrics to assess and understand the workforce trends and factors affecting employee
attrition and retention.
Analysed world data of Covid 19 and made a tableau visualisation.