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Data Science with less than a year in Machine Learning & Generative AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science Engineering graduate with hands-on experience in Machine Learning, Data Science, and Generative AI. Skilled in building end-to-end ML systems including data preprocessing, feature engineering, model training, evaluation, and deployment. Developed real-world projects such as prediction systems and a RAG-based chatbot. Seeking an entry-level AI/ML or Data role to build scalable, data-driven solutions.
Vedavyasa Institute of Technology
Bachelor of Technology · Computer Science and Engineering
August 1, 2021 – June 30, 2025
Techolas Technologies
Data Science Intern
July 1, 2025 – Present
Kozhikode, Kerala, India
RAG Based PDF Chatbot
June 20, 2026 – Present
Built an end-to-end RAG pipeline using LangChain to orchestrate PDF ingestion, text chunking, and semantic retrieval Generated text embeddings using Sentence Transformers and stored them in a FAISS vector index for fast similarity search Integrated FLAN-T5 (HuggingFace Transformers) as the instruction-tuned LLM to generate context-aware answers from retrieved chunks Deployed a user-facing Streamlit web app allowing anyone to upload a PDF and ask natural language questions
Diabetes Risk Prediction
June 20, 2026 – Present
Built an end-to-end machine learning system to predict diabetes risk (Low, Medium, High) using patient health and lifestyle data. Applied feature engineering, model training, and hyperparameter tuning to improve model performance. Achieved 94.5% accuracy with Logistic Regression. Developed a Streamlit web app for real-time prediction.
Sleep Disorder Prediction
June 20, 2026 – Present
Built a Random Forest Classifier to predict sleep disorders such as insomnia and sleep apnea Performed EDA, preprocessing, and model evaluation using Python libraries Achieved 94% accuracy using Random Forest Classifier Enabled prediction based on user lifestyle and health data
Cultural Fit Analysis
The candidate's projects demonstrate a proactive learning attitude and an interest in applying data science to various problems (healthcare, NLP/Generative AI). The internship experience at Techolas Technologies shows exposure to a professional data science environment. The breadth of skills and tools used (ML, DL, NLP, RAG, visualization) suggests adaptability and a willingness to explore different areas within data science. However, the experience is primarily academic and internship-based, which might require more guidance in a fast-paced industry setting.
Soft Skills & Operational Fit
The resume lists soft skills such as Communication, Problem Solving, Critical Thinking, Adaptability, Time Management, and Teamwork. However, without specific examples or assessment data, it's difficult to objectively evaluate the candidate's operational fit or the depth of these soft skills. The project descriptions are clear, indicating good written communication.