Ravoori Sai Tejaswini
******************@*****.*** +91-837******* Bangalore LinkedIn GitHub
Professional Summary
Machine Learning professional with a PG Diploma in Artificial Intelligence & Data Science. Hands-on exposure to academic and internship projects involving Computer Vision, NLP, SQL, ML. Passionate about applying data-driven solutions to complex business problems and generating actionable insights. Seeking opportunities to contribute analytical thinking and problem-solving skills to real-world AI and data science projects. Skills:
Programming Languages: Python, SQL
Machine Learning: Supervised & Unsupervised Learning, Model Deployment
Deep Learning
Data Analysis & Data Visualization: Pandas, NumPy, Matplotlib, Seaborn
Computer Vision: SAM, Molmo, Yolo
NLP: Text Processing, Chatbot Development, LLM, RAG
Tools & Frameworks: SciPy, Scikit-learn, TensorFlow, Keras, Flask Work Experience:
DataScience Intern AI4SEES Private Limited [Aug-2025 to Present]
Reproduced and optimized research models from GitHub for camera calibration and 6D pose estimation of an object to support internal AI projects involving Computer Vision Applications.
Contributing to a thesis project on animal X-ray image classification using Yolov8, Yolov11, ViT for medical image analysis.
Machine Learning Intern Afame Technologies [Apr-2024 to May-2024] Credit Card Fraud Detection –
Analyzed a dataset of over a crore transactions, identifying fraudulent patterns using ML models.
Evaluated XG Boost model performance and achieved 0.986 ROC-AUC score for test data after Hyper parameter tuning with Randomized search CV.
Chat Assistant for SQLite Database –
Developed a Rasa-based chatbot that interprets natural language queries, converts them into SQL statements, and retrieves data from SQLite database.
Built and deployed a Flask REST API to serve the assistant publicly; tested interactions via cURL for end-to-end validation. GitHub
Executive Civil Engineer Alpla India Private Limited [Feb-2020 to Aug-2023]
Managed on-site execution and project coordination for large-scale construction projects for a manufacturing plant by collaborating with consultant, contractors, and stakeholders to meet project goals.
Ensured quality control and compliance with safety regulations and reduced re-works up to 70 percent. Academic Projects
ML model for Auto Insurance Industry –
Processed 5+ lakh insurance records, conducted EDA on 50+ features, and trained models like Logistic Regression, XGBoost, SVC, and MLP, achieving 0.96 accuracy with Linear SVC using GridSearchCV.
Evaluated model performance using Precision, Recall, F1, and ROC-AUC. o Colab: Auto Insurance Model
Hand written character recognition of Medical data –
Trained CNN with 8000 + labeled images to recognize handwritten characters.
Improved sequential character recognition by 22% using Bi-LSTM. o Colab: Handwritten Character Recognition
Education
Post Graduate Diploma in Artificial Intelligence & Data Science National Institute of Technology Warangal 2023-2024 B.Tech in Civil Engineering National Institute of Technology Warangal 2015-2019