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Data Science with less than a year in Machine Learning & Data Analysis
Highly motivated Junior Data Science professional with practical experience in machine learning, deep learning, and data analysis. Proven ability to conduct competitive analysis, research cloud optimization, and develop AI-driven solutions. Possesses strong technical skills in Python, SQL, and various data science frameworks, coupled with soft skills in problem-solving and critical thinking, to drive data-driven decision-making and optimize operations. Seeking to leverage academic knowledge and internship experience to contribute to innovative data science projects.
St Aloysius Institute of Management and IT
Master of Science · Big Data Analytics
August 1, 2024 – June 30, 2026
Azim Premji University
Bachelor of Science · Physics Major
August 1, 2020 – June 30, 2023
Crozaint Technologies
Junior Data Analyst Intern
March 1, 2026 – Present
India
Techtern Pvt. Ltd.
Data Science Intern
January 1, 2026 – January 1, 2026
India
Zoym Biotech
Front-end Developer
February 27, 2024 – May 1, 2024
India
AWS RAG Assistant
June 24, 2026 – Present
Built end-to-end RAG pipeline processing AWS Well-Architected PDFs with ChromaDB vector search, TinyLlama 1.1B GPU inference (2.4s latency), and Streamlit UI. Indexed 500+ document chunks, implemented safety guardrails (100% safe responses), achieved 0.79/1.0 answer quality. Full pipeline: PDF chunking → semantic retrieval → grounded generation with source attribution.
View ProjectHealthcare Clinic Operations Optimization
June 24, 2026 – Present
Analyzed over 2,000 patient visits to identify operational inefficiencies and designed data-driven strategies like staggered scheduling and express lanes, reducing wait times by 25%, boosting satisfaction by 0.6 points, and improving clinic efficiency by 20%
View ProjectPrecision Fish Farming AI - Disease Detection & Optimization
June 24, 2026 – Present
Analyzed 6,000+ aquaculture samples (1.75k fish disease images + 4.3k water quality records) to develop production-ready Streamlit app with ResNet18 (97% accuracy) and Random Forest (99.3% water quality) models. Delivered 20% feed cost savings (₹1.25L/crop for 2-acre ponds), 15% mortality reduction through early disease detection, and offline deployment on ₹10k hardware for smallholder farmers, enabling scalable precision aquaculture across India.
Cross-Domain Sentiment Analysis Using Transformers Models: A Comparative Study of BERT and RoBERTa
International Conference on Advanced IT, Engineering and Management, (SACAIM)
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from healthcare optimization to precision agriculture and RAG systems, indicates a broad interest and adaptability, which aligns well with dynamic team environments. Their involvement in a publication and pursuit of a Master's in Big Data Analytics shows a commitment to continuous learning and contributing to the field. The experience as a Front-end Developer also suggests a willingness to explore different technical areas, contributing to a versatile team. The target role of Data Science is well-aligned with their skills and project experience.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving, critical thinking, and communication skills through project descriptions and the publication. Their adaptability and continuous learning are evident from their diverse project portfolio and academic pursuits. The psychometric test score (316/500) suggests moderate logical reasoning and work attitude, which could be further explored during interviews. The English test score (75/100) indicates good communication clarity.