Data Science with less than a year in Data Pipelines & 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
Highly motivated Data Scientist Intern with 8 months of hands-on experience in designing and developing scalable data pipelines, automating data workflows using AWS services, and building predictive maintenance solutions. Proven ability to integrate MLOps practices, enhance data reliability, and contribute to deep learning projects for medical image analysis and smart traffic management. Seeking to leverage strong skills in Python, SQL, cloud platforms, and AI/ML to drive data-driven innovation.
COEP Technological University, Pune
M.Tech · Data Science
August 1, 2024 – June 30, 2026
AISSMS Institute of Information Technology, Pune
B.E. · AI & DS
August 1, 2020 – June 30, 2024
KONE
Data Scientist Intern
August 1, 2025 – April 1, 2026
Pune, Maharashtra, India
Multimodal Glaucoma Detection System
June 1, 2026 – June 1, 2026
Developed deep learning model using CNN architectures for glaucoma detection from medical images. Made use of attention guided mechanisms and fusion techniques for final accurate classification.
Customer Churn Prediction
June 1, 2026 – June 1, 2026
Built classification models (Logistic Regression, Random Forest) to predict customer churn. Performed data preprocessing, feature engineering, and EDA to identify key churn drivers.
Smart Traffic Management System
June 1, 2026 – June 1, 2026
Developed vehicle detection system using CNN-based models (YOLO, OpenCV). Analyzed traffic patterns to optimize signal timing and reduce congestion.
AWS Academy Cloud Foundations
AWS Academy
June 1, 2026 – Present
Databricks Fundamentals Accreditation
Databricks
June 1, 2026 – Present
AI Foundations
IBM SkillsBuild
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse interest in applying data science to various domains (medical imaging, customer behavior, traffic management). The internship at KONE shows exposure to an industrial setting, working on scalable data pipelines and predictive maintenance, which aligns well with a practical, results-oriented culture. The certifications and publications indicate a proactive approach to learning and contributing to the field. The blend of academic rigor and practical application suggests a good fit for a culture that values continuous learning and impactful contributions.
Soft Skills & Operational Fit
The candidate's resume indicates a structured approach to problem-solving, evidenced by their work on data pipeline automation, test data generation frameworks, and SQL-based validation. The internship experience highlights an ability to work in a production environment, integrating testing and monitoring. The project descriptions suggest an analytical mindset and an ability to apply theoretical knowledge to practical scenarios. However, without direct interview data, specific soft skills like teamwork, leadership, or communication in a collaborative setting cannot be fully assessed.