Highly analytical Computer Science undergraduate with a strong foundation in Python, Machine Learning, and data analysis, seeking Data Analyst or Data Scientist internship opportunities. Proven ability to develop and optimize AI/ML models, including a predictive disease detection system leveraging Logistic Regression and SHAP for explainable AI. Adept at visualizing complex data patterns and implementing algorithms for optimal decision-making, ready to apply technical and analytical skills to real-world challenges.
Hyderabad, Telangana, India
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Summary
Remotely completed hands-on training in AI/ML principles and workflows, focusing on data preprocessing and model evaluation.
Highlights
Gained practical expertise in AI/ML principles and workflows, including data preprocessing and comprehensive model evaluation techniques.
Developed and optimized diverse Machine Learning models, rigorously evaluating performance metrics and ensuring high data integrity.
Analyzed complex datasets to derive actionable insights, directly supporting predictive modeling initiatives.
Awarded By
Code Pragnya
Advanced to the second round in a competitive programming event, demonstrating strong algorithmic and problem-solving skills.
Issued By
Simple learn
Python, HTML5, JavaScript.
Machine Learning Models, SHAP Analysis, Scikit-learn, MIN-Max Algorithm, AI Algorithms, Generative AI, Responsible AI.
Data Analysis Techniques, Pandas, Seaborn, Matplotlib Visualization, NumPy Operations, Jupyter Notebook.
Database Design, MySQL, SQLite.
HTML, CSS, JavaScript.
UiPath Automation, API Integration, Software Development, Pygame, Git.
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Summary
Developed a recommendation engine to suggest top restaurants for customers based on location & order history. Implemented KMeans clustering on latitude/longitude to group customer regions. Ranked vendors by popularity in each cluster and recommended top 5 vendors per customer. Tools: Python, Pandas, Scikit-learn