Goutam Jha

About

Data Scientist and Programmer with 5 years of experience in data analysis, machine learning, and software development. Experienced in building scalable data pipelines, predictive models, and AI solutions using Python, Scikit-learn, TensorFlow, LangChain, and OpenAI, with hands-on model deployment experience across AWS (Lambda, CDK, SageMaker, CI/CD) and Azure Machine Learning Studio. Led data science teams and delivered end-to-end AI solutions across domains including healthcare, finance, and business automation.

Experience

• Associate Applied Analytics Specialist · BlackRock01-01-2026

  • Worked on fixed income analytics stewardship for security-level (CUSIP-level) portfolio data, ensuring reliability of computed metrics such as unit price, unit value, exposure, OAS, and duration across large-scale portfolios. • Designed and implemented rule-based validation logic to classify analytics failures (e.g., missing prices, stale market data, matured/delisted securities, derivative legs), improving consistency in exception tagging. • Analyzed data quality issues arising from market data gaps, pricing feed inconsistencies, and pipeline failures, enabling faster root cause identification across upstream systems. • Developed structured scorecards and monitoring summaries to track recurring exception patterns, helping prioritize high-impact data issues. • Performed exploratory analysis on repeated validation failures to identify systematic data issues and support stabilization of production analytics pipelines.

• Manager - Data Science · Finarb Analytics Consulting Pvt. Ltd.01-01-2022 – 12-31-2025

  • Developed an object detection model for a pill packaging machine to automate the detection of broken pills on the pipette, replacing manual inspection. Optimized the model to maintain false positives below 5%, minimizing production delays and ensuring efficient packaging. • Hands-on experience with Azure Machine Learning Studio, submitting training jobs, managing datasets, and deploying models as scalable endpoints for real-world applications. • Designed and maintained scalable APIs for data-intensive applications, significantly improving response time and enhancing system reliability. • Collaborated with cross-functional teams to deploy AI-driven solutions for financial management systems • Led and supervised a team of five data scientists, delivering machine learning solutions across healthcare, finance, and business automation domains • Coordinated client communications, provided technical support, and advised on data science best practices, significantly reducing project delivery times.

• Machine Learning Engineer · Finarb Analytics Consulting Pvt. Ltd.08-01-2020 – 12-31-2021

  • Oversaw the development of a cell phone price prediction system, improving accuracy by 20% and deploying it on AWS for real-time predictions. • Led the development and deployment of machine learning models for various business domains, including credit risk, retail price prediction, and computer vision, improving model efficiency by 25%. • Contributed to the validation team for a credit risk model by assessing the Probability of Default (PD) using metrics like gain, lift, and recall to ensure model reliability and performance.

• Data Science Intern · Finarb Analytics Consulting Pvt. Ltd.01-01-2020 – 06-30-2020

  • Analyzed packaging machine data to identify key breakdown indicators, improving predictive maintenance by 20%. • Built an ML model to optimize Field Service Engineer (FSE) dispatch, reducing unnecessary visits by 25%. • Applied NLP techniques for text summarization, entity extraction, and sentiment analysis in customer feedback.

Education

• Indian Statistical InstituteM.Tech, M.Tech in QROR (Quality, Reliability and Operations Research) — specialization in Operations Research, statistics, and Business Analytics
• West Bengal University of TechnologyB.Tech, Mechanical Engineering

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