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I am a results-driven AI and Machine Learning Engineer with over 8 years of experience in developing scalable, interpretable, and production-grade models across insurance, fintech, and industrial domains. I specialize in end-to-end ML pipelines, MLOps implementation, and regulatory-compliant model deployment, consistently delivering measurable business impact through advanced analytics, NLP solutions, and real-time scoring systems. Throughout my career, I have designed and implemented pricing pipelines, real-time scoring APIs, and robust NLP pipelines that extract structured intelligence from unstructured data. I enjoy working in collaborative environments leveraging cloud platforms and modern MLOps tools to build scalable and efficient data-driven solutions that enhance underwriting efficiency, risk assessment, and customer analytics.…I am a results-driven AI and Machine Learning Engineer with over 8 years of experience in developing scalable, interpretable, and production-grade models across insurance, fintech, and industrial domains. I specialize in end-to-end ML pipelines, MLOps implementation, and regulatory-compliant model deployment, consistently delivering measurable business impact through advanced analytics, NLP solutions, and real-time scoring systems. Throughout my career, I have designed and implemented pricing pipelines, real-time scoring APIs, and robust NLP pipelines that extract structured intelligence from unstructured data. I enjoy working in collaborative environments leveraging cloud platforms and modern MLOps tools to build scalable and efficient data-driven solutions that enhance underwriting efficiency, risk assessment, and customer analytics.

Shivani Malae

AI Engineer, Data Scientist, AI Developer

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I am a results-driven AI and Machine Learning Engineer with over 8 years of experience in developing scalable, interpretable, and production-grade models across insurance, fintech, and industrial domains. I specialize in end-to-end ML pipelines, MLOps implementation, and regulatory-compliant model deployment, consistently delivering measurable business impact through advanced analytics, NLP solutions, and real-time scoring systems. Throughout my career, I have designed and implemented pricing pipelines, real-time scoring APIs, and robust NLP pipelines that extract structured intelligence from unstructured data. I enjoy working in collaborative environments leveraging cloud platforms and modern MLOps tools to build scalable and efficient data-driven solutions that enhance underwriting efficiency, risk assessment, and customer analytics.…I am a results-driven AI and Machine Learning Engineer with over 8 years of experience in developing scalable, interpretable, and production-grade models across insurance, fintech, and industrial domains. I specialize in end-to-end ML pipelines, MLOps implementation, and regulatory-compliant model deployment, consistently delivering measurable business impact through advanced analytics, NLP solutions, and real-time scoring systems. Throughout my career, I have designed and implemented pricing pipelines, real-time scoring APIs, and robust NLP pipelines that extract structured intelligence from unstructured data. I enjoy working in collaborative environments leveraging cloud platforms and modern MLOps tools to build scalable and efficient data-driven solutions that enhance underwriting efficiency, risk assessment, and customer analytics.

Available to hire

I am a results-driven AI and Machine Learning Engineer with over 8 years of experience in developing scalable, interpretable, and production-grade models across insurance, fintech, and industrial domains. I specialize in end-to-end ML pipelines, MLOps implementation, and regulatory-compliant model deployment, consistently delivering measurable business impact through advanced analytics, NLP solutions, and real-time scoring systems.

Throughout my career, I have designed and implemented pricing pipelines, real-time scoring APIs, and robust NLP pipelines that extract structured intelligence from unstructured data. I enjoy working in collaborative environments leveraging cloud platforms and modern MLOps tools to build scalable and efficient data-driven solutions that enhance underwriting efficiency, risk assessment, and customer analytics.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Senior Data Scientist with Gen AI Engineer at FCCI Insurance

August 1, 2022 - Present

At FCCI Insurance, I designed and implemented end-to-end data pipelines for commercial property insurance supporting regulator-compliant reporting. I improved underwriting efficiency by building data workflows leveraging historical bind decisions and created NLP pipelines extracting structured data from unstructured claims and adjuster notes. Additionally, I engineered containerized real-time FastAPI scoring APIs for rapid data retrieval in quoting workflows and collaborated with governance teams to ensure compliance with regulatory standards. I also delivered analytical frameworks to support retention and cross-sell campaigns and maintained vendor data evaluation and data quality monitoring systems for pricing and risk assessment.

Data Scientist Gen AI Engineer at CSAA Insurance

June 30, 2022 - August 5, 2025

While at CSAA Insurance, I developed customer analytics systems for auto insurance focusing on behavioral and transactional data to drive proactive retention. I built risk assessment frameworks using geospatial and aerial imagery data and integrated third-party risk scores into underwriting systems. I created data processing pipelines from customer service transcripts and designed customer segmentation and campaign analysis systems, targeting marketing optimization. I also contributed to disaster response analytics using satellite imagery and FNOL feeds and analyzed customer acquisition patterns using external credit and quote funnel data.

Data Scientist at Zylo IT Solutions, India

June 30, 2019 - August 5, 2025

At Zylo IT Solutions, I focused on fraud detection and risk analytics by developing systems that reduced false positives in fintech transactions and anomaly detection mechanisms for login events. I built forecasting and customer segmentation systems for telecom and retail campaigns and designed conversion analysis tools to improve lead allocation. Additionally, I implemented entity recognition and sentiment analysis systems to support compliance and product feedback extraction. I engineered automated ETL pipelines from third-party APIs and contributed to exploratory analysis on large clickstream datasets for UI optimization.

Data Science Associate at Hexagon

July 31, 2017 - August 5, 2025

During my role at Hexagon, I prepared and validated structured datasets to support early-stage manufacturing analytics research. I participated in developing rule-based anomaly detection systems for industrial IoT sensor streams and contributed to data labeling and system validation. Additionally, I created performance dashboards and collaborated with data engineering teams to integrate new data sources, supporting data consistency and quality throughout project stages.