Data Science with less than a year in AI/ML, Python, SQL, and cloud platforms, eager to apply academ
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated and results-driven professional currently pursuing M.Tech in Artificial Intelligence & Data Science, with a B.Tech in Electrical Engineering. Proficient in Python, SQL, and various AI/ML frameworks, complemented by hands-on experience in cloud and backend technologies. Demonstrated ability in developing and deploying data-driven solutions through academic projects, showcasing strong problem-solving and analytical capabilities.
Rajasthan Technical University
B.Tech · Electrical Engineering
N/A – June 30, 2021
IIT Patna
M.Tech · Artificial Intelligence & Data Science
N/A – June 30, 2027
Email Service Backend
June 24, 2026 – Present
Developed a resilient email delivery service with retry logic, fallback mechanisms, and failure handling. Implemented idempotency controls to prevent duplicate email delivery during retries. Added rate-limiting and status-tracking features to improve service reliability and monitoring. Designed modular backend components to support scalability and maintainability.
View ProjectHeart Disease Risk Detection
June 24, 2026 – Present
Developed a clinical data preprocessing and feature-engineering pipeline for healthcare datasets. Built and evaluated Logistic Regression, Random Forest, and KNN models on clinical datasets for heart disease risk prediction. Implemented an ensemble voting strategy to improve prediction reliability and overall model performance. Performed exploratory data analysis and visualization to identify key health indicators affecting disease risk.
View ProjectAI/ML Internship Program
Unknown
June 1, 2026 – Present
Oracle Certified Foundations Associate
Oracle
June 1, 2026 – Present
Gemini for Data Scientists and Analysts
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a blend of data science and backend development interests, suggesting adaptability. The pursuit of an M.Tech in AI & Data Science aligns well with a Data Science target role. However, the lack of professional experience and diverse project types beyond academic settings limits a comprehensive assessment of cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an understanding of problem-solving and system design principles (e.g., resilience, scalability, idempotency). However, without completed psychometric or English tests, it is difficult to assess communication clarity, work attitude, stress handling, or team collaboration skills.