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Data Science with less than a year in Machine Learning & Generative AI
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Assessing your cultural and operational fit
Data Science Post Graduate with hands-on experience in machine learning, data analysis, and Generative AI applications. Skilled in Python, SQL, and Power BI, with experience building end-to-end ML models and RAG-based systems. Strong in data preprocessing, visualization, and building data-driven analytical solutions.
Bankatlal Badruka College for Information Technology
M.Sc. · Data Science
August 1, 2023 – June 30, 2025
AI-Powered Interview Assistant
June 23, 2026 – Present
Developed a RAG-based chatbot using LangChain, Google Gemini, and ChromaDB. Implemented document processing, chunking, embeddings, and vector database storage for efficient retrieval. Integrated Gemini LLM with document retrieval to generate context-aware responses. Built a Streamlit application for real-time interview question answering and guidance.
Flight Ticket Price Prediction
June 23, 2026 – Present
Developed a machine learning-based flight fare prediction system using 10,000+ flight records, performing data preprocessing, feature engineering, EDA, and outlier handling. Trained and evaluated Linear Regression, Decision Tree, Random Forest, KNN, XGBoost, and SVR models using MAE, RMSE, and R² metrics. Achieved a best R² Score of 0.95 using Random Forest/XGBoost through feature engineering and hyperparameter tuning. Built and deployed a Streamlit and FastAPI application for real-time flight ticket price prediction.
Skin Cancer Detection using YOLO and Roboflow
June 23, 2026 – Present
Developed a skin cancer detection system using Roboflow and skin lesion image datasets. Performed image annotation, preprocessing, augmentation, and model training for lesion classification. Achieved 92%+ classification accuracy with strong precision, recall, and F1-score performance on validation data. Built a simple interface for real-time skin lesion image classification and prediction.
Data Science Program
Innomatics Research Labs
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's profile shows a strong academic foundation in Data Science with a focus on practical project implementation. The diversity of projects (predictive modeling, generative AI, computer vision) indicates a broad interest within the data science domain. The target role of 'Data Science' aligns well with the candidate's educational background and project experience. However, the lack of professional experience means cultural fit in a corporate environment, including teamwork and adaptability, is yet to be assessed.
Soft Skills & Operational Fit
The candidate's resume highlights project-based learning and application of technical skills. While specific soft skills are not explicitly detailed, the successful completion of multiple complex projects suggests problem-solving abilities and a results-oriented approach. The academic nature of projects means real-world operational fit and collaboration experience in a professional setting are yet to be fully demonstrated.