Data Science with less than a year in data analytics & machine learning.
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BCA (Data Science) graduate with strong expertise in data analytics, business intelligence, and fraud/anomaly detection. Built end-to-end ML projects in fraud detection, supply chain analytics, and computer vision. Research paper published at ICONAT. Completed job simulations with BCG X, Quantium, Deloitte, and JPMorgan Chase. Targeting roles in Data Analytics, Business Analytics and ML Engineering or AI Engineering.
Amrita Vishwa Vidyapeetham
BCA - Data Science · Data Science
August 1, 2023 – June 30, 2026
ST Anne's PU College, Virajpet, Kodagu
PUC (EBAC)
June 1, 2021 – May 31, 2023
ST Anne's High School, Virajpet, Kodagu
SSLC · 10th Standard
N/A – May 31, 2021
Boston Consulting Group
Data Science Job Simulation
June 1, 2026 – June 1, 2026
India
JPMorgan Chase
Quantitative Research Job Simulation
June 1, 2026 – June 1, 2026
India
Deloitte
Data Analytics Job Simulation
June 1, 2026 – June 1, 2026
India
Lloyds Banking Group
Data Science Job Simulation
June 1, 2026 – June 1, 2026
India
Vision-Based Stress Detection
January 1, 2026 – June 1, 2026
Built a two-stage stress classification system (Stressed / Not Stressed → Low / Medium / High) processing 4,000+ frames from 38 student videos. Achieved 96% binary accuracy and 94% multi-class accuracy using facial landmark and eyebrow feature extraction (GLCM, edge density, gradient features). Delivered a privacy-preserving eyebrow-only pipeline as a real-time capable alternative to full-face detection.
View ProjectCredit Card Fraud Detection
January 1, 2026 – June 1, 2026
Trained model on 284K+ transactions (Kaggle dataset); resolved class imbalance using SMOTE. Achieved Precision 0.86, Recall 0.85, F1-Score 0.86 - maximising fraud recall to minimise financial loss.
View ProjectASCROS - Supply Chain Optimization
January 1, 2026 – June 1, 2026
Designed AI-driven inventory simulation to detect stockouts and optimise ordering decisions using demand-sales data. Built interactive Power BI dashboard with KPIs (Profit, Demand, Sales, Lost Sales) for data-driven supply chain decisions.
Data Analytics with Python
MyCaptain
June 1, 2026 – Present
Artificial Intelligence Course
MyCaptain
June 1, 2026 – Present
Introduction to Data Mining
Infosys Springboard
June 1, 2026 – Present
Business Analytics
MyCaptain
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong inclination towards continuous learning and practical application, as demonstrated by numerous certifications and virtual internships from reputable companies. The diversity of academic projects (computer vision, fraud detection, supply chain) and exposure to different industry simulations (consulting, finance, banking) indicates adaptability and a broad interest in data science applications. This aligns well with a culture that values continuous learning and cross-domain problem-solving. However, the academic nature of most projects and simulations means real-world team collaboration and stakeholder management experience is limited.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate business problems into data science solutions (e.g., maximizing fraud recall, optimizing ordering decisions). Participation in multiple job simulations suggests a proactive attitude towards gaining practical exposure and understanding industry workflows. However, without direct work experience, the operational fit in a fast-paced, senior-level environment is yet to be fully validated.