Ankita Dubey

"Enthusiastic B.Tech Computer Science (AI & ML) student with a strong foundation in Data Science, Machine Learning, and Data Analytics. Experienced in Python, SQL, and Data Visualization using Tableau. Dynamic and results-driven intern at Deloitte, adept in Python and machine learning techniques. Successfully applied data analytics skills to enhance project outcomes, demonstrating strong problem-solving abilities.

Certified [Data Analytics Virtual Intern], [Deloitte ] - [ February 2025 – March 2025]

Projects

Movie Recommendation System

Technologies Used: Python, Pandas, Scikit-learn, NLP

• Developed a content-based recommendation system using TF-IDF & cosine similarity
• Processed large datasets to provide personalized movie recommendations

Churn Data Analysis

Technologies Used: Python, SQL, Tableau, Machine Learning

• Analyzed customer churn using exploratory data analysis (EDA) and ML models
• Built a predictive model using Logistic Regression to classify high-risk customers
• Created interactive dashboards in Tableau to visualize key churn patterns

Myntra Dataset Analysis – EDA with Python

• Performed data cleaning, visualization, and trend analysis using Pandas, Seaborn, and Matplotlib.
• Identified customer purchase patterns and sales trends for business insights.