Open to opportunities

Anusha k

@anushak

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Data Science and AI Intern with hands-on machine learning experience.

India

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What I'm looking for

I am looking for a role that fosters innovation and offers opportunities for professional growth in data science and AI.

As a Data Science and AI Intern, I have developed and deployed machine learning models that significantly improved client behavior prediction accuracy by 15%. My experience at BNP Paribas involved conducting exploratory data analysis and feature engineering using Python, scikit-learn, and XGBoost on financial datasets, which helped uncover key market trends and optimize model performance.

I am skilled in applying NLP techniques with spaCy and Hugging Face transformers to perform sentiment analysis on financial news, providing actionable insights to investment strategy teams. My educational background includes a Master of Science from the University of London, where I gained expertise in computational biology, data analysis, and bioinformatics tools.

Experience

Work history, roles, and key accomplishments

Current

Data Science and AI Intern

Current

BNP Paribas

Jul 2024 - Present (1 year 11 months)

Developed and deployed machine learning models using Python, scikit-learn, and XGBoost on financial datasets, improving client behavior prediction accuracy by 15%. Conducted exploratory data analysis and feature engineering using pandas, NumPy, and SQL, uncovering key market trends and optimizing model performance.

Python scikit learn XGBoost Pandas NumPy SQL NLP SpaCy

Senior Claims Associate

Optum Global Solution

Feb 2019 - Aug 2022 (3 years 6 months)

Ensured accurate adjudication of medical claims routed out of automated systems, meeting turnaround standards and minimizing errors. Applied detailed knowledge of insurance components such as deductibles, co-pays, coinsurance, and regional regulations to resolve complex cases.

Medical Claims Regulatory Compliance Error Minimization

Warehouse Team Member

Ocado Retail

May 2013 - Apr 2017 (3 years 11 months)

Picked, packed, and dispatched an average of 250+ customer orders per shift with 99% accuracy, contributing to top-tier customer satisfaction. Partnered with warehouse teams to consistently exceed daily performance targets by 10-15%, while ensuring compliance with health and safety protocols.

Order picking Dispatching Customer Satisfaction Team Collaboration Health and Safety Performance Targeting

Education

Degrees, certifications, and relevant coursework

University of London

Master of Science, Computational Biology, Data Analysis, Bioinformatics

Grade: Merit

Activities and societies: Final Project: Preeclampsia Prediction, Heart Disease Prediction, Diabetes Prediction, Chatbot Development

Gained expertise in computational biology, data analysis, and bioinformatics tools (Python, R, BLAST, Bioconductor). Final Project: Preeclampsia Prediction.

Sri Venkateshwara College of Pharmacy

Bachelor of Science, Clinical Pharmacy

Grade: Distinction

Graduated with Distinction. Final project in Clinical Pharmacy focused on patient care, drug interactions, and therapeutic outcomes. Built a strong foundation in pharmacology and medicinal sciences.