Aspiring Data Scientist - Python, ML, AI Foundations

Rama Bandi

Aspiring Data Scientist with strong foundations in Python, ML, and AI

Andhra Pradesh, India +91-630*******

Email: ************@*****.*** LinkedIn: www.linkedin.com/in/bandi-rama-b94671274 OBJECTIVE

Detail-oriented Computer Science undergraduate pursuing a Data Science internship. Skilled in Python, SQL, and data visualization with hands-on experience in predictive modeling, feature engineering, and business analytics. Aiming to apply analytical and problem-solving skills to deliver data-driven insights and support organizational decision-making.

CORE COMPETENCIES

Data Analysis, Machine Learning, Deep Learning, Data Cleaning, Statistical Modeling, SQL, Python, Pandas, NumPy, Data Visualization, Model Evaluation, Predictive Modeling, Feature Engineering, Business Insights, Data Quality Monitoring, Database Optimization, User Behavior Analysis, Generative AI EDUCATION

Bachelor of Technology (CSE) – Audisankara Institute of Technology, 2025 CGPA: 9.0 Intermediate (MPC) – Narayana Junior College, 2021 Score: 878 10th (SSC) – Prospero English Medium School, 2019 Percentage: 83% TECHNICAL SKILLS

Programming & Libraries: Python, Pandas, NumPy, Scikit-learn, Generative AI tools, SQL Machine Learning: Regression, Classification, Clustering, Random Forest, XGBoost, Ensemble Methods Deep Learning: CNN, ANN, RNN

Data Visualization: Matplotlib, Seaborn

Data Handling: Data Cleaning, Feature Engineering, Data Preprocessing, Data Quality Monitoring Tools & Platforms: Git, Jupyter, VS Code, Google Colab, MySQL PROJECTS

Machine Failure Prediction (XGBoost)

Developed a machine learning model using XGBoost to predict whether industrial machines would fail within the next 7 days using sensor and operational data. Implemented preprocessing, feature engineering, and model optimization to achieve high prediction accuracy for proactive maintenance planning. YouTube Question Answering System

Built an end-to-end Generative AI system that answers questions from YouTube videos using LLMs, RAG pipelines, and vector embeddings. Implemented transcript extraction, text chunking, HuggingFace embeddings, and VectorDB retrieval for accurate, context-aware responses. CERTIFICATIONS

- Python Programming – InternPE

- Data Analytics with Python – NPTEL

- Python Basics for Data Science – EDX

- Data Science – 9Globes Technologies, Bangalore

ACHIEVEMENTS

- Collaborated with cross-functional peers to apply ML algorithms and deliver actionable insights for academic and project initiatives.

- Improved model performance by 20% through data preprocessing and advanced feature optimization.

- Presented analytical findings and project results effectively using Power BI and data storytelling techniques. SOFT SKILL

Analytical Thinking, Logical Reasoning, Team Collaboration, Cross-Department Communication, Data Sensitivity

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