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I am an experienced and results-driven Senior Data Scientist and Machine Learning Engineer with over 6 years of hands-on experience in developing advanced analytics solutions and machine learning models. I have a proven record of leading successful data science projects from conception to deployment, driving business impact and innovation. With strong expertise in AI, deep learning, big data, cloud computing, and team leadership, I seek to contribute effectively to a dynamic organization's success. Throughout my career, I have worked on diverse projects spanning recommendation systems, anomaly detection, predictive maintenance, financial risk modeling, and NLP applications. I collaborate closely with cross-functional teams and mentor junior members, fostering a culture of continuous learning. My passion lies in leveraging data science and AI to solve complex business problems and optimize operational efficiency.…I am an experienced and results-driven Senior Data Scientist and Machine Learning Engineer with over 6 years of hands-on experience in developing advanced analytics solutions and machine learning models. I have a proven record of leading successful data science projects from conception to deployment, driving business impact and innovation. With strong expertise in AI, deep learning, big data, cloud computing, and team leadership, I seek to contribute effectively to a dynamic organization's success. Throughout my career, I have worked on diverse projects spanning recommendation systems, anomaly detection, predictive maintenance, financial risk modeling, and NLP applications. I collaborate closely with cross-functional teams and mentor junior members, fostering a culture of continuous learning. My passion lies in leveraging data science and AI to solve complex business problems and optimize operational efficiency.

Sairam M

AI Developer, Data Scientist, AI Engineer, +2

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I am an experienced and results-driven Senior Data Scientist and Machine Learning Engineer with over 6 years of hands-on experience in developing advanced analytics solutions and machine learning models. I have a proven record of leading successful data science projects from conception to deployment, driving business impact and innovation. With strong expertise in AI, deep learning, big data, cloud computing, and team leadership, I seek to contribute effectively to a dynamic organization's success. Throughout my career, I have worked on diverse projects spanning recommendation systems, anomaly detection, predictive maintenance, financial risk modeling, and NLP applications. I collaborate closely with cross-functional teams and mentor junior members, fostering a culture of continuous learning. My passion lies in leveraging data science and AI to solve complex business problems and optimize operational efficiency.…I am an experienced and results-driven Senior Data Scientist and Machine Learning Engineer with over 6 years of hands-on experience in developing advanced analytics solutions and machine learning models. I have a proven record of leading successful data science projects from conception to deployment, driving business impact and innovation. With strong expertise in AI, deep learning, big data, cloud computing, and team leadership, I seek to contribute effectively to a dynamic organization's success. Throughout my career, I have worked on diverse projects spanning recommendation systems, anomaly detection, predictive maintenance, financial risk modeling, and NLP applications. I collaborate closely with cross-functional teams and mentor junior members, fostering a culture of continuous learning. My passion lies in leveraging data science and AI to solve complex business problems and optimize operational efficiency.

Available to hire

I am an experienced and results-driven Senior Data Scientist and Machine Learning Engineer with over 6 years of hands-on experience in developing advanced analytics solutions and machine learning models. I have a proven record of leading successful data science projects from conception to deployment, driving business impact and innovation. With strong expertise in AI, deep learning, big data, cloud computing, and team leadership, I seek to contribute effectively to a dynamic organization’s success.

Throughout my career, I have worked on diverse projects spanning recommendation systems, anomaly detection, predictive maintenance, financial risk modeling, and NLP applications. I collaborate closely with cross-functional teams and mentor junior members, fostering a culture of continuous learning. My passion lies in leveraging data science and AI to solve complex business problems and optimize operational efficiency.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

AI/ML Engineer at Pepsi Co

January 1, 2024 - Present

Collaborated with cross-functional teams to analyze large volumes of microservices data, establishing performance baselines and enabling real-time anomaly detection. Led AIOPS initiatives improving system reliability over 60 microservices, developed CNN and Generative AI models for fraud detection and investment risk management, and transformed financial modeling using CNNs and LLMs. Deployed web services on Azure, created CI/CD pipelines with Azure DevOps, GitHub Actions, Heroku, Docker, and Kubernetes. Developed NLP and computer vision applications, productionized causal models optimizing customer retention, and built financial forecasting and demand prediction models boosting business efficiency.

Data Scientist, Machine Learning Engineer at CuraScript, Orlando, FL

November 30, 2023 - August 21, 2025

Piloted data manipulation and visualization projects enhancing pipeline efficiency using Tableau and Power BI. Developed a Contextual Intelligence Engine on AWS EMR, increasing user engagement by 40%. Transformed DS team's workflow with industry-standard practices including code reviews and CI/CD. Championed integration of big data technologies like AWS and Spark, collaborated with analytics teams for actionable insights and implemented over 15 machine learning models optimizing performance at scale. Co-developed a no-code ML platform for customer success teams and built an Ethical AI framework ensuring fairness and explainability.

Data Analyst at Hitachi, Santa Clara, CA

May 31, 2022 - August 21, 2025

Deployed ML models in production with TensorFlow Serving and ONNX. Supported AI consulting and solution architecture roles to drive business transformation. Engineered ETL infrastructures integrating Python and SQL, boosting decision-making efficiency by 42%. Applied clustering and customer segmentation increasing market profits and strategic pricing adjustments. Built and automated reporting systems for key metrics saving 30+ hours weekly and created dynamic Tableau reports improving operational efficiency. Managed CI/CD infrastructure and AI/ML system architectures on AWS, Azure, and GCP.

Financial Data Analyst at AT&T

June 30, 2020 - August 21, 2025

Orchestrated A/B testing improving client engagement by 23%. Developed ML platforms with reusable components and governance. Participated in robotics AI development integrating ML in perception and control systems. Collaborated with multiple stakeholders on investment opportunity analysis and asset management strategies. Developed financial analytics and ensured compliance with AI ethics and regulations. Mentored junior engineers and engaged in FAIR AI practices and model lifecycle management.

AI/ML Engineer at Pepsi Co

January 1, 2024 - Present

Collaborated with cross-functional teams to collect, pre-process, and analyse large volumes of data from microservices, ensuring data quality and relevance. Established performance baselines for real-time monitoring of 60 microservices. Employed CNNs and Generative AI with Large Language Models for analysis and content generation, enhancing user engagement and personalized interactions. Led AIOPS initiatives to improve system reliability by predicting anomalies. Developed fraud detection algorithms reducing online fraud. Enhanced investment risk management with real-time dashboards. Transformed financial modeling with CNNs and LLMs for improved asset valuation. Created CI/CD pipelines with Azure DevOps, GitHub Actions, Docker, and Kubernetes to automate deployment. Developed multi-channel optimization strategies that improved digital engagement by 10%. Delivered NLP and Computer Vision applications with frameworks like Spacy, TensorFlow, YOLO, and Faster R-CNN. Led R&D efforts on causa

Data Scientist, Machine Learning Engineer at CuraScript

November 30, 2023 - August 21, 2025

Led data manipulation, visualization, and pipeline efficiency improvements using Tableau and Power BI. Developed a Contextual Intelligence Engine on AWS EMR, achieving a 40% increase in user engagement. Transformed team's workflow by implementing code/model version control and continuous integration with automated testing. Created training programs for modern AI tools and cloud platforms including AWS SageMaker, TensorFlow, and Hugging Face. Championed integration of big data technologies like Spark and Delta Lake. Collaborated on analytics and customer segmentation projects using Snowflake and Tableau. Implemented and maintained over 15 machine learning models from development through deployment. Built Ethical AI frameworks ensuring fairness, explainability, and bias mitigation. Helped develop a no-code ML platform for Customer Success teams. Conducted AI/ML research and experimentation to evaluate new algorithms.

Data Analyst at Hitachi

May 31, 2022 - August 21, 2025

Deployed ML models into production with real-time and batch inference using TensorFlow Serving and ONNX. Participated in AI consulting and solution architecture for business transformation. Built ETL infrastructure with SQL and Python, improving decision efficiency by 42%. Analyzed geographic sales data using clustering to identify opportunities, increasing profits by 4%. Applied advanced segmentation and cohort analysis, enabling a strategic 21% pricing reduction and increasing revenue. Automated reporting systems saving 30+ hours weekly. Developed analytic reports for sales and claims data using Python and SQL. Managed CI/CD pipelines and AI infrastructure including Docker, Kubernetes, and Jenkins. Designed AI/ML system architectures with cloud platforms such as AWS SageMaker and Azure ML.

Financial Data Analyst at AT&T

June 30, 2020 - August 21, 2025

Executed A/B testing improving client engagement by 23%. Developed ML platforms with reusable pipelines, automated retraining, and governance. Contributed to robotics AI integration for perception and control. Collaborated with stakeholders for investment strategy analytics. Conducted data mining to optimize product offerings. Participated in AI ethics and explainability efforts. Developed statistical methods to enhance portfolio diversification and risk management. Created reusable AI components and APIs integrated with enterprise systems. Mentored junior engineers and performed code reviews. Implemented model lifecycle management including monitoring and rollback strategies. Delivered advanced customer segmentation leading to optimized pricing and increased revenue.