Shreyas Sindhur
@shreyassindhur
Data science intern and computer engineering student, building end-to-end ML pipelines and AI-powered web apps from real-world data.
What I'm looking for
I’m a computer engineering student with a minor in Data Science, and I’m actively interested in machine learning and AI applications that solve real, measurable problems. In my internship at MachineMax India Pvt. Ltd., I built an end-to-end predictive maintenance pipeline to predict machine failure within a 7-day horizon using fleet sensor data.
I focus on rigorous evaluation and domain-informed modeling—using GroupKFold to prevent machine leakage, optimizing XGBoost with GridSearchCV for PR-AUC under severe class imbalance, and validating results with SHAP drivers aligned to physical logic. I’ve also developed AI-powered products like Distill (a Groq-based multi-agent research assistant) and Safe-Surf (a phishing detection web platform with a FastAPI backend and React frontend), alongside ML work like Titanic Passenger Survival Analysis with interpretability via SHAP.
Experience
Work history, roles, and key accomplishments
Data Science Intern
MachineMax India Pvt. Ltd.
Jan 2026 - May 2026 (4 months)
Built an end-to-end predictive maintenance pipeline on fleet sensor data to predict machine failure within a 7-day horizon. Optimized XGBoost for PR-AUC under severe class imbalance and used GroupKFold plus SHAP to ensure leakage-free evaluation and interpretable drivers.
Digital Marketing Head
RAIT (Social Wing)
Jun 2023 - Jul 2024 (1 year 1 month)
Led digital marketing and content strategy for NSS and student-led initiatives, managing social media promotional campaigns to improve student participation and outreach visibility. Coordinated with event organizing teams to deliver engagement-driven creatives and community-focused communications.
Education
Degrees, certifications, and relevant coursework
Ramrao Adik Institute of Technology, D. Y. Patil Deemed to be University
Bachelor of Technology, Computer Engineering (Minor in Data Science)
2022 -
Grade: 8.25/10 (CGPA)
Pursuing a B.Tech in Computer Engineering with a minor in Data Science (CGPA 8.25/10). Focuses on machine learning, AI applications, and data-driven problem solving.
Royal Junior College
12th Grade, Higher Secondary Education
2020 - 2022
Grade: 75.50%
Completed 12th grade with 75.50%.
Availability
Location
Authorized to work in
Job categories
Skills
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