Kezia Sheen

Data Science

https://www.opentalent.in/kezia-sheen

Key Strengths

Strong foundational knowledge in Machine Learning and Deep Learning, including PyTorch, TensorFlow, Keras, and Transformer models (BERT, RoBERTa).
Demonstrated ability to build end-to-end data science solutions, as evidenced by the AWS RAG Assistant and Precision Fish Farming AI projects.
Practical experience with various data science frameworks and libraries such as Pandas, NumPy, Scikit-learn, NLTK, SpaCy, and OpenCV.
Experience with big data technologies like Apache Spark and Hadoop, and proficiency in SQL.
Proven ability to apply data-driven problem-solving to real-world scenarios, achieving measurable impact (e.g., wait time reduction, cost savings, mortality reduction).
Experience in deploying models and creating user interfaces with Streamlit.
Published research in cross-domain sentiment analysis using transformer models, indicating a strong theoretical and practical understanding of advanced NLP concepts.

Cultural & Operational Fit

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.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

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.

Top Skills

PythonCommunicationAttention to DetailProblem SolvingSQL

Experience

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

Projects

Healthcare 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 Project

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 Project

Precision 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.

Key Strengths

Strong foundational knowledge in Machine Learning and Deep Learning, including PyTorch, TensorFlow, Keras, and Transformer models (BERT, RoBERTa).
Demonstrated ability to build end-to-end data science solutions, as evidenced by the AWS RAG Assistant and Precision Fish Farming AI projects.
Practical experience with various data science frameworks and libraries such as Pandas, NumPy, Scikit-learn, NLTK, SpaCy, and OpenCV.
Experience with big data technologies like Apache Spark and Hadoop, and proficiency in SQL.
Proven ability to apply data-driven problem-solving to real-world scenarios, achieving measurable impact (e.g., wait time reduction, cost savings, mortality reduction).
Experience in deploying models and creating user interfaces with Streamlit.
Published research in cross-domain sentiment analysis using transformer models, indicating a strong theoretical and practical understanding of advanced NLP concepts.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Kezia Sheen

Key Strengths

Cultural & Operational Fit

About

Top Skills

Skills

Education

Experience

Projects

Certifications

Key Strengths

Cultural & Operational Fit