Data Science with less than a year in ML, Deep Learning, Computer Vision & LLM Systems
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Science graduate student with hands-on experience in ML, Deep Learning, Computer Vision, and LLM-based systems. Proven ability to build end-to-end pipelines from model training to production deployment. Academic topper with internship experience across computer vision and AI-powered platforms.
DES Pune University
M.Sc. Data Science · Data Science
August 1, 2024 – June 30, 2026
Marathwada Mitra Mandal's College
B.Sc. Computer Science · Computer Science
August 1, 2021 – June 30, 2024
Sun Fibo Private Limited
AI Software Developer Intern
December 1, 2025 – Present
Pune, Maharashtra, India
Starburst AI Division, Webworx Pvt. Ltd.
Data Science – Computer Vision Intern
June 1, 2025 – July 1, 2025
Pune, Maharashtra, India
RAG Inference Pipeline
June 1, 2026 – Present
Built a retrieval-augmented generation pipeline using FastAPI and LangChain, over a Qdrant vector store for semantic document search Tracked experiments, parameters, and inference latency across runs. Used JWT for user authentication and tenant isolation. Containerized the full pipeline with Docker Compose.
Human Activity Recognition
June 1, 2026 – Present
Built a multi-class classifier on 561 statistical features from accelerometer and gyroscope sensor data Benchmarked ensemble models (Random Forest, XGBoost, LightGBM, stacking, voting); selected LightGBM for 95% accuracy with fast inference Developed a transition detection module for risky activity shifts; tuned hyperparameters for optimal performance
Lung Cancer Nodule Detector
June 1, 2026 – Present
Developed and optimized a YOLO-based lung-nodule detection model, improving precision to 0.61 through iterative training Achieved measurable gains in mAP@50 and mAP@50-95 by reducing false positives and improving bounding-box localization for tiny medical objects Demonstrated effective tuning of a lightweight YOLO architecture for high-stakes medical imaging use cases
Introduction to machine learning
NPTEL
June 1, 2026 – Present
Computer vision and image processing fundamentals and applications
NPTEL
June 1, 2026 – Present
First Runner-Up, Prompt Engineering Competition
DES Pune University
January 1, 2026 – Present
Exemplary Scholar Award
Marathwada Mitra Mandal's College
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects and internship roles align well with a Data Science target role, particularly with a strong emphasis on Computer Vision and ML/DL applications. The diversity of projects (RAG pipeline, Human Activity Recognition, Lung Cancer Nodule Detector) shows a broad interest and ability to apply ML techniques across different domains. The prompt engineering award also indicates an interest in emerging AI fields. The academic background and internship experiences suggest a proactive and learning-oriented individual, which generally contributes positively to cultural fit in a dynamic tech environment.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experiences suggest an ability to work on practical, deployed systems, indicating a results-oriented approach. The academic awards and prompt engineering competition placement suggest a strong drive for excellence and problem-solving. However, without specific behavioral assessment data, it's difficult to fully assess soft skills like teamwork, communication style, or adaptability in a professional setting.