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Data Science with less than a year in Virtual Relationship Management and expertise in Machine Learn
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Assessing your cultural and operational fit
Data-driven professional with a Data Science certification and experience as a Virtual Relationship Manager. Skilled in Python, Excel, and CRM platforms to analyze data, create actionable insights, and optimize business decisions. Combines strong analytical abilities with client-focused communication to deliver measurable results. Industrial Chemistry graduate with knowledge of chemical processes, analytical techniques, and industrial safety protocols. Skilled in laboratory practices including chemical analysis, quality control, and equipment handling. Eager to apply academic knowledge and internship experience in a professional, quality-driven environment.
MG University, Government College Kottayam
Bachelor of Science · Industrial Chemistry
N/A – June 30, 2024
AIRTEL
Virtual Relationship Manger
July 1, 2025 – December 1, 2025
Cochin, Kerala, India
LOAN APPROVAL ANALYSIS AND PREDICTION USING MACHINE LEARING
December 1, 2025 – June 1, 2026
• Conducted EDA on 50,000+ loan application records using Pandas and Python, improving model accuracy by 75% through data cleaning and feature engineering. • Analyzed loan-related variables with Matplotlib and Seaborn, generating insights that enhanced decision-making efficiency by 40% and reduced manual processing errors by 20%.
CHEST X-RAY PNEUMONIA DETECTION USING DEEP LEARNING
December 1, 2025 – June 1, 2026
• Implemented a CNN-based classification model to detect pneumonia from 5,856 chest X-ray images,• optimizing accuracy through data augmentation and preprocessing. • Implemented a deep learning pipeline using TensorFlow/Keras, leveraging GPU acceleration to reduce training time by 50% and improve model efficiency. • Evaluated model performance using precision, recall, F1-score, and Grad-CAM visualizations, enhancing interpretability for medical professionals. • Automated data preprocessing workflows, reducing manual effort by 40%, and collaborated with healthcare experts to refine model predictions for clinical use.
Internship in Travancore cement
Travancore cement
June 1, 2026 – Present
National Council For Technology And Training
National Council For Technology And Training
June 1, 2026 – Present
Data science - Python
Luminar Technolab
January 1, 2024 – January 1, 2025
Cultural Fit Analysis
The candidate's project diversity, ranging from financial loan prediction to medical image analysis, shows a broad interest in applying data science across different domains. The academic background in Industrial Chemistry, combined with a Data Science certification, indicates a proactive approach to skill development and career transition. The experience as a Virtual Relationship Manager, though brief and not directly technical, suggests an ability to adapt to different professional environments and engage with clients. The candidate's profile aligns with a culture that values continuous learning, interdisciplinary application of skills, and problem-solving.
Soft Skills & Operational Fit
The candidate's profile highlights soft skills such as effective communication, problem-solving, relationship building, and adaptability, which are crucial for a data science role involving stakeholder interaction. The experience as a Virtual Relationship Manager, though not directly technical, suggests an ability to manage client lifecycles and utilize CRM platforms, indicating an operational fit for roles requiring client engagement and structured workflows. The academic background in Industrial Chemistry, while not directly data science, implies a scientific approach to problem-solving and analytical rigor.