Data Scientist with less than a year in AI, Machine Learning & Big Data Analytics.
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Assessing your cultural and operational fit
Data Scientist with a B.Tech in AI and hands-on experience building clinical decision support systems and marketing recommendation engines. Expert in Python, SQL, and Azure ML, with specialized experience in statistical modeling (ROC analysis) and big data processing via PySpark. Focused on delivering production-ready AI solutions and data-driven insights.
Jamia Hamdard University
B.Tech · Computer Science and Engineering (Specialization in AI)
August 1, 2020 – June 30, 2024
Intellimark AI
Data Science Intern
September 1, 2025 – February 1, 2026
India
Mobilous Inc
Data Scientist (Project-based Contract)
February 1, 2025 – April 1, 2025
Delhi, Delhi, India
Service Intelligence Platform
June 27, 2026 – Present
Built an advanced analytics module using FastAPI and SciPy for statistical sampling and comparative reporting. Enabled automated generation of operational insights with visualized trend reports using Seaborn/Matplotlib.
Cultural Fit Analysis
The candidate's project diversity, ranging from marketing recommendation systems to clinical decision support, indicates adaptability and a broad interest in applying data science across different domains. The listed skills cover a wide array of tools and technologies relevant to a modern data science role, suggesting a willingness to learn and engage with various technical challenges. The target role 'Data Scientist' aligns well with the candidate's experience and education.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration with senior scientists and a focus on delivering production-ready AI solutions, suggesting a team-oriented and results-driven approach. The project descriptions indicate an ability to identify problems and implement data-driven solutions, which is crucial for operational fit. However, without direct assessment data on soft skills, this remains an inference.