About Me
Aspiring Data Analyst and Machine Learning Practitioner with a Statistics background, real-world internship experience in marketing analytics, and a growing portfolio of 13+ hands-on projects in data analysis, machine le…
Aspiring Data Analyst and Machine Learning Practitioner with a Statistics background, real-world internship experience in marketing analytics, and a growing portfolio of 13+ hands-on projects in data analysis, machine learning, deep learning, Generative AI, and SQL. Skilled in Python, SQL, Excel, Pandas, Scikit-learn, and Keras — with a passion for turning raw data into clear, actionable insights. Currently building consistently, learning deeply, and eager to contribute to a data-driven team.
Experience
Marketing Intern
Supported data-driven marketing campaigns using analytical insights to improve audience targeting Assisted in tracking campaign KPIs and preparing performance reports for the marketing department Collaborated with the team to analyze market trends and contribute actionable recommendations
PROJECTS
Bank Loan Approval Prediction | Python, Scikit-learn, Matplotlib
Bank Loan Approval Prediction | Python, Scikit-learn, Matplotlib |- Compared Logistic Regression, Decision Tree, and Random Forest models using AUC-ROC curve evaluation- Performed EDA on loan applicant data; visualized key patterns using Seaborn and Matplotlib
Sales Data Analysis | Python, Pandas, Excel, Matplotlib
- Analyzed Superstore sales data to identify top-selling products, regional trends, and seasonal patterns- Cleaned and transformed raw data using Pandas and Excel; built interactive dashboards with Matplotlib andSeaborn