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SR

samar rathore

Management Trainee

New Delhi
60
Profile Score

Skills & Expertise (17)

Python Advanced
8.6/10
6
Years Exp
Machine Learning Advanced
8.4/10
6
Years Exp
Data Analysis Advanced
8.2/10
6
Years Exp
Problem Solving SPSS Autogluon AutoML Deep Learning Data Mining Data Modeling Business Sense Excel Inferential statistics Descriptive Statistics Data Manipulation Power BI SQL

Work Experience

Management Trainee

ICICI Lombard GIC

Jul 2017 - Present

Faced high-volume Fire and CPM proposals with varied industrial risk exposures. Conducted detailed risk assessment, analysed sum insured adequacy, claims history, and exposure details before approval. Improved underwriting accuracy and minimized potential adverse loss impact on the portfolio. Ensured adherence to internal underwriting norms and regulatory standards. Performed 360° proposal review, verified risk disclosures, and coordinated for additional clarifications where required. Maintained 100% compliance and reduced policy issuance discrepancies. Analyzed historical claims data and loss trends to support selective risk acceptance decisions. Contributed to better portfolio quality and controlled loss exposure. Collaborated with sales and operations teams to streamline information gathering and resolve underwriting queries proactively. Reduced processing delays and enhanced overall customer servicing efficiency.

AI Intern

Healthmug

Jul 2017 - Present

Built a model to classify address quality using historical company data. Leveraged AutoGluon to train and optimize ML models on past delivery datasets, performing feature engineering and model validation. Enabled proactive identification of poor-quality addresses, improving delivery efficiency and reducing operational loss risk. Developed a predictive model to estimate salary progression based on performance ratings and role data. Built an ML-based salary prediction model using historical employee datasets, incorporating performance scores, tenure, and role hierarchy as features. Provided data-driven salary forecasting insights to support fair compensation planning and hiring decisions. Conducted feasibility research on migrating ML models to Amazon SageMaker Serverless Inference, analyzing cost structure, scalability, and deployment workflows. Proposed a scalable, cost-efficient serverless deployment framework to improve inference flexibility and reduce idle compute expenses.

Education

PGDM in Artificial Intelligence and Data Science - LBSIM

2023 - 2025 · Afghanistan

B. Tech in Mechanical Engineering - Vellore Institute of Technology

2018 - 2022 · Afghanistan

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Profile Score Breakdown

📷 Photo 0/10
📄 Resume 10/10
💼 Job Title 10/10
✍️ Bio 0/10
🛠️ Skills 20/20
🎓 Education 10/10
⏱️ Experience 5/15
💰 Rate 0/5
🏆 Certs 0/5
Verified 5/5
Total Score 60/100

Profile Overview

Member sinceMar 2026

Skills (17)

Python Machine Learning Data Analysis Problem Solving SPSS Autogluon AutoML Deep Learning Data Mining Data Modeling +7 more