Python Developer,AI/ML Engineer, Data Scientist

SUMMARY

CHANDANA RAMA

***************@*****.*** · +91-938******* · Bengaluru, Karnataka

GitHub · LinkedIn

Aspiring Data Scientist with expertise in AI, Machine Learning, NLP, and data visualization. Dedicated to extracting insights and building data-driven solutions to complex challenges. EXPERIENCE

Data Science Trainee Nov 2024 - Present

Mahindra & Mahindra Limited

• Conducted exploratory data analysis (EDA) and statistical evaluations to optimize manufacturing workflows, improving decision-making efficiency by 25%.

• Executed a Sheet Metal Nesting Optimization project by implementing advanced algorithms, including Ge- netic, Minkowski, Heuristic, and Greedy methods, achieving a 20% improvement in material utilization and a 15% reduction in scrap waste.

• Designed and developed an Automated CAD Model Generation Tool that creates 3D models from input drawings using LLMs with Retrieval-Augmented Generation (RAG) for accurate interpretation. Integrated a conversational interface via Azure OpenAI to enable natural language-based design refinement and cus- tomization.

Artificial Intelligence (AI) Intern Oct 2024 - Nov 2024 Infosys Springboard

Project: EmoSentia (Real-Time Emotion and Sentiment Analysis Tool)

• Developed a real-time emotion and sentiment analysis application utilizing Natural Language Processing

(NLP) techniques and the VGG-Face model for emotion recognition, implemented with Python and Streamlit, achieving an accuracy rate of 92%.

• Leveraged the VGG-Face model to accurately classify emotions from facial expressions, ensuring robust and precise real-world emotion recognition.

EDUCATION

B. Tech in Computer Science and Engineering (AI & ML) 2020 - 2024 Kakatiya Institute of Technology and Science, Warangal CGPA: 7.95 PROJECTS

• Implemented an LSTM architecture to forecast stock prices based on historical market data, achieving 96% accuracy.

• The model was trained on various features, including opening & closing prices, to uncover data patterns.

• This project enhances investment decision-making through accurate predictions. Tomato Leaf Disease Detection Using Deep Learning

• Created a deep learning model utilizing MobileNet for detecting diseases in tomato plants through leaf images.

• The model was trained on a dataset of healthy and diseased leaves, enabling effective differentiation between conditions.

• This solution aids farmers in identifying and addressing plant health issues promptly. SKILLS

Programming Languages: Python, Java, SQL, HTML, CSS, JavaScript Frameworks/Libraries: NumPy, Pandas, Scikit-learn, Matplotlib, Flask, OpenCV, PyTorch, FastAPI, Plotly, OCR, RAG, LLM LangChain,LangGraph Gradio, Streamlit,CAD

Academic Coursework: Data Structures & Algorithms, AI, ML, DL, NLP, Computer Vision, OS, OOP, Cloud Computing CERTIFICATIONS

• Coursera: Supervised Machine Learning

• NPTEL: Introduction to Machine Learning

ACHIEVEMENTS

Winner – Mahindra Hackathon

Developed a Real-Time Face Verification System for Aadhaar-based authentication at resorts.

• Designed mobile and kiosk modules for seamless check-in.

• Integrated OCR, real-time image capture, and facial matching using transformer-based deep learning models.

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