AI Engineer with 2+ years in Data Science & Machine Learning
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Highly motivated Data Science professional pursuing M.Tech with 2.4 years of experience in AI Image Generation, Data Preprocessing, and Analytics. Proven ability to develop deep learning models for disease prediction and cardiac arrhythmia detection, with expertise in NLP, CNN-LSTM, and various BI tools like Qlik Sense. Skilled in collaborating with cross-functional teams and deploying models to production, consistently recognized for outstanding performance.
MPSTME, NMIMS University
M.Tech · Data Science
August 1, 2024 – June 30, 2026
Datta Meghe College of Engineering
BE · Chemical Engineering
August 1, 2016 – June 30, 2019
JIO CREATIVE LABS (Reliance Jio)
AI Image Generation Intern - AI Creative & Media Production
December 1, 2025 – April 1, 2026
India
PREDOOLE ANALYTICS
Role in Brief
April 1, 2022 – April 1, 2024
India
Disease Prediction Based on Symptoms (Deep Learning)
January 1, 2026 – January 1, 2026
Developed a deep learning-based system to predict potential diseases from user-input symptoms using NLP techniques and neural networks for accurate health assessment. AI_Powered web application that predicts diseases from selected symptoms. Dataset includes disease-symptom Mapping uses One hot Encoding. Machine learning Models to ensure Speed & Accuracy.
Automated Detection of Cardiac Arrhythmia
January 1, 2026 – January 1, 2026
Built a hybrid CNN-LSTM model for automatic detection of cardiac arrhythmias from ECG data, enabling early diagnosis through time-series and spatial pattern analysis. Developed hybrid CNN-LSTM Models to automatically classify arrhythmias from ECG signals. Achieve high accuracy under both clean and noisy Signal Conditions. Deploy the model in a a streamline Web Application for real time inferences & Visulization.
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a problem-solving mindset in healthcare AI. The internship at JIO CREATIVE LABS shows adaptability to creative AI applications. The previous role at PREDOOLE ANALYTICS indicates experience in data engineering and client collaboration. This diversity suggests a good cultural fit for roles requiring both technical depth and practical application.
Soft Skills & Operational Fit
The candidate lists 'Excellent in Communication & Presentation Skills' and has received an 'Outstanding Employee Performance Award', suggesting good soft skills and operational fit. However, the resume descriptions themselves could be more concise and impactful.