Arkaprabha Dian
Associate Data Scientist @EY
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WORK HISTORY
Associate Data Scientist @EY
Kolkata, IN
Worked on end-to-end data science projects across banking and financial services domains, from data understanding and preprocessing to model deployment and validation.Performed data cleaning, data profiling, missing value treatment, and outlier handling using Python (Pandas, NumPy) to ensure high-quality, analysis-ready datasets.Conducted exploratory data analysis (EDA) using statistical techniques and visualizations to identify trends, patterns, correlations, and business insights.Built and validated supervised and unsupervised machine learning models, including Logistic Regression, Decision Trees, Random Forest, and Gradient Boosting, for classification and risk-related use cases.
EDUCATION
K.T.P.P HIGH SCHOOL
Higher secondary
K.T.P.P HIGH SCHOOL
Secondary Education
Maulana Abul Kalam Azad University of Technology, West Bengal formerly WBUT
B.Tech
Jadavpur University, Kolkata
M.tech
ABOUT ARKAPRABHA DIAN
As a Data Scientist with 2 years of experience and experienced Automation Tester with 1.5+ years, I specialize in building and delivering enterprise-scale data science and AI solutions using Python, SQL, Machine Learning, Deep Learning, NLP, and Generative AI. I currently work at Ernst & Young (EY), where I contribute to data-driven initiatives across financial services, including investment banking environments, as well as other enterprise domains.My work focuses on developing production-grade, scalable ML and AI solutions, collaborating closely with business stakeholders, operations teams, and engineering partners, while adhering to strict compliance, data governance, and security frameworks—a critical requirement in banking and regulated industries.Additionally, experienced Automation Tester with 1.5+ years of proven success in enterprise testing environments.I possess a strong foundation in IT and a track record of delivering high-quality software.My expertise encompasses Automation Testing, Functional Testing, and Regression Testing, along with proficiency in API testing methodologies.Key Areas of ExpertiseMachine Learning: Supervised, Unsupervised & Adversarial LearningDeep Learning & NLP: Text Classification, Information Extraction, EmbeddingsGenerative AI: Prompt Engineering, LLMs, RAG conceptsProgramming & Data: Python, SQLCloud & Engineering: Google Cloud Platform (GCP), Git, Production EnvironmentsMath & Statistics: Probability, Statistics, Linear Algebra, AlgorithmsSelected Problem Statements & ContributionsEnd-to-end development of machine learning models for enterprise decision-makingNLP and Deep Learning solutions for text analytics and classificationData transformation and analytics pipelines using optimized Python and SQLDeployment and monitoring of ML models in production environmentsSupporting investment banking and financial services use cases with data-driven insights under regulated frameworksCollaboration with cross-functional teams to translate business needs into scalable AI solutionsI am passionate about continuous learning, solving complex analytical problems, and building AI systems that create real business impact—especially in financial services and investment banking, where accuracy, scalability, and compliance are paramount.Open to roles in Data Science, Applied ML, and GenAI within Banking, Financial Services, and Enterprise AI teams.
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