Arunabh Goswami

AI Researcher

Bengaluru, Karnataka, India8 yrs experience

Most Likely To SwitchHighly Stable

Key Highlights

Generated millions in annual savings through AI solutions.
Achieved high accuracy in document classification.
Mentored new hires, fostering team cohesion.

Stackforce AI infers this person is a Data Science and AI specialist in the SaaS industry.

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Skills

Core Skills

Data ScienceNatural Language Processing (nlp)Machine Learning

Other Skills

Analytic Problem SolvingAnalytical Decision MakingAutomation AnywhereCascading Style Sheets (CSS)Data AnalysisData AnalyticsData VisualizationData-driven Decision MakingDecision-MakingDiversity RecruitmentExploratory Data AnalysisGenerative AIGitHubGradient BoostingHTML5

About

Chubb leverages my expertise as a Sr. Data Scientist to implement advanced AI-driven solutions, including a semantic similarity search pipeline and Retrieval Augmented Generation (RAG) models, yielding millions in annual savings. My collaboration across teams has led to the creation of robust fraud prevention frameworks and improvements in classification systems with measurable efficiency gains. Equipped with a Master's in Data Science from Liverpool John Moores University and a Postgraduate Diploma from IIIT Bangalore, I focus on harnessing NLP and automation to streamline workflows and enhance decision-making processes. Passionate about driving impactful solutions, my work aims to align technological innovation with organizational goals.

Experience

Chubb

2 roles

Sr. Data Scientist I

Promoted

Apr 2023 – Present · 2 yrs 11 mos

Developed a semantic similarity search retrieval pipeline, generating over $3.6 million in annual savings.
Integrated Retrieval Augmented Generation (RAG) for enhanced fraud identification, saving over $4.8 million annually.
Engineered a global news article classification system achieving a 93.5% F1-score, saving 280 FTE hours yearly.
Automated call analysis using GenAI and Whisper, improving quality assurance through advanced prompt engineering.
Collaborated with cross-functional teams during business travel to New Jersey, enhancing fraud investigation processes, recovery methodologies, best practices and contributing to a more robust fraud prevention framework.

Data ScienceNatural Language Processing (NLP)Generative AIMachine LearningStatistical Data AnalysisPython (Programming Language)+2

Jr. Data Scientist

Oct 2021 – Apr 2023 · 1 yr 6 mos

Designed and implemented a global automated ML modeling pipeline, enhancing efficiency and saving over 400 FTE hours annually.
Mentored new hires in Python programming and data structures, fostering skill development and team cohesion.
Developed a document classification solution achieving 98% accuracy, streamlining the identification of lengthy policy documents.

Data ScienceMachine LearningNatural Language Processing (NLP)Analytic Problem SolvingDecision-Making

Accenture

2 roles

Application Development Analyst

Promoted

Jun 2019 – Dec 2020 · 1 yr 6 mos

Automated email content testing with Python, saving 3 hours daily and enhancing campaign quality.
Proactively resolved critical issues in live email campaigns, ensuring seamless execution and optimal delivery performance.
Designed and developed automated processes using Automation Anywhere (RPA), streamlining workflows and boosting productivity at Accenture.