Open to opportunities

Nicoló Giso

@nicolgiso

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Experienced data professional specializing in machine learning and AI solutions.

Italy

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my expertise in machine learning to drive impactful projects.

I am a data professional with 8 years of experience in building and deploying machine learning models in production. Currently, I serve as the Lead Data Scientist at Tenova, where I have successfully implemented a machine learning-based optimizer that minimized charge costs while maintaining quality, achieving a 1.5% reduction in operational expenses. My role involves collaborating on strategies to integrate AI into our products and services, deploying ML models on both Azure Cloud and on-premise environments, and mentoring younger colleagues.

Prior to my current position, I worked as a Machine Learning Engineer at Tenova, where I established DevOps pipelines that reduced model release times by 70%. I also played a key role in dockerizing and productionalizing models, as well as implementing ETL pipelines to ensure data availability for training and analysis. My journey began as a Data Scientist, where I developed predictive models for pollutants and heat temperature, achieving significant reductions in error rates and operational costs.

Experience

Work history, roles, and key accomplishments

Current

Lead Data Scientist

Current

Tenova

Mar 2023 - Present (2 years 3 months)

Implemented an ML-based optimizer to minimize charge costs while maintaining quality, resulting in a 1.5% OPEX reduction. Collaborated on the company's AI strategy and led the deployment of ML models on Azure Cloud and on-premise.

Machine Learning Azure Cloud LLM Project Management Mentoring

Machine Learning Engineer

Tenova

Mar 2020 - Mar 2023 (3 years)

Set up DevOps pipelines for model deployments and retraining, reducing release time by 70%. Dockerized and productionalized models built by data scientists, and implemented ETL pipelines for data availability.

DevOps Docker ETL Machine Learning Data Pipelines

Data Scientist

Tenova

Sep 2017 - Mar 2020 (2 years 6 months)

Trained models for pollutant prediction (RMSE 9%) and heat temperature prediction (20% RMSE reduction, 2% OPEX reduction). Implemented an image recognition system with 94% accuracy and a custom algorithm for optimal pressure set point, saving $300k annually.

Machine Learning Image Recognition Data Analysis Algorithm Development

Education

Degrees, certifications, and relevant coursework

Politecnico di Milano

Bachelor degree in Mathematical Engineering, Mathematical Engineering

Obtained a Bachelor's degree in Mathematical Engineering, building a strong foundation in mathematical principles and their practical engineering uses. Developed core skills in quantitative analysis and problem formulation.

Cedar Springs High School

Exchange Student Year, General Studies

Participated in an exchange student program, experiencing a different educational system and cultural environment. Enhanced adaptability and cross-cultural communication skills.

Politecnico di Milano

Master degree in Mathematical Engineering, Mathematical Engineering

Completed a Master's degree focusing on advanced mathematical concepts and their engineering applications. Gained expertise in complex problem-solving and analytical techniques relevant to various industries.