Gaurav Kashinath Chitte

To seek and maintain full-time position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills.

Sci-Fi Movies: A passionate fan of science fiction films, with "Blade Runner 2049" being a personal favorite. The movie's exploration of artificial intelligence, futuristic technology, and the human condition resonates with my interests in AI and data science.

Work On Titanic Project

• Load Data: Obtain and import the Titanic dataset into a data analysis tool (e.g., Python with Pandas).
• Explore Data: Quickly examine the dataset structure (columns, data types) and check the first few rows to understand its contents.
• Handle Missing Data: Address missing values by imputing them (e.g., using median for numerical data, mode for categorical data).
• Visualize Data: Create visualizations to grasp insights such as survival rates based on factors like gender, age, and class.
• Feature Engineering: Create new features that might enhance predictions, such as combining 'SibSp' and 'Parch' to create 'FamilySize'.
• Statistical Insights: Compute basic statistics (mean, median, etc.) and correlations to understand relationships within the dataset.
• Predictive Modeling: If applicable, build a predictive model (e.g., logistic regression, decision trees) to predict survival and evaluate its performance.
• Conclusion: Summarize findings about factors influencing survival and suggest potential further analysis or improvements.

Data Science with Ai