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
<p>Supported data-driven marketing campaigns using analytical insights to improve audience targeting</p><p> Assisted in tracking campaign KPIs and preparing performance reports for the marketing department</p><p> Collaborated with the team to analyze market trends and contribute actionable recommendations</p>
PROJECTS
Bank Loan Approval Prediction | Python, Scikit-learn, Matplotlib
<p>Bank Loan Approval Prediction | Python, Scikit-learn, Matplotlib |</p><p>- Compared Logistic Regression, Decision Tree, and Random Forest models using AUC-ROC curve evaluation</p><p>- Performed EDA on loan applicant data; visualized key patterns using Seaborn and Matplotlib</p>
Sales Data Analysis | Python, Pandas, Excel, Matplotlib
<p>- Analyzed Superstore sales data to identify top-selling products, regional trends, and seasonal patterns</p><p>- Cleaned and transformed raw data using Pandas and Excel; built interactive dashboards with Matplotlib and</p><p>Seaborn</p>