Motivated and detail-oriented 4th-year Computer Science Engineering student specializing in Data Science, pursuing a full-semester internship to translate academic knowledge into practical applications. Eager to engage in innovative projects and acquire industry experience, with aspirations for a full-time position in a dynamic tech setting.
English, Telugu, German
Blogging, travel, reading, listening to music
Iris model – supervised machine learning on the Iris dataset|March 2025 – April 2025, Description: Classification of iris flower species using ML algorithms, including logistic regression, KNN, SVM, decision tree, and random forest Achieved over 95% accuracy. Applied EDA and created visualizations to understand patterns, technologies: Python, Jupyter Notebook, Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib
GitHub: https://github.com/DeepikaChikkam/iris_model
Loan prediction model – supervised machine learning project|May 2025 – June 2025, description: Worked on a simple project to predict whether a person’s loan would be approved using past data, cleaned the data, filled missing values, and explored it with basic charts. Tried out easy-to-understand algorithms like logistic regression, decision tree, and Matplotlib; technologies used: Python, Jupyter Notebook, Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib
GitHub: https://github.com/DeepikaChikkam/Loan_Approval_Prediction
Zomato Restaurant Data Analysis|April 2025 – June 2025
Description: Analyzed Zomato restaurant data to find trends in ratings, cuisines, and costs Used Python tools like Pandas and Seaborn for data cleaning and visualization. Shared insights to help improve restaurant services and customer experience, technologies used: Python, Pandas, NumPy, Matplotlib, Seaborn, Google Colab, GitHub: https://github.com/DeepikaChikkam/zomato-restaurant-analysis
GitHub: https://github.com/DeepikaChikkam/zomato-restaurant-analysis
| May 2025 - June 2025