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Acca Alin Nedelcu
Head of Advanced Analytics - Machine Learning Trainer & Lecturer
Acca Alin Nedelcu is a Lead Data Scientist at Raiffeisen Bank, overseeing the implementation of Advanced Analytics Risk Hub and advocating for the use of new technologies to enhance business capabilities.
Acca Alin Nedelcu is also an educator, teaching Machine Learning and Artificial Intelligence courses at the Romanian Banking Institute and Raiffeisen Banking Academy for both business and technical individuals.
With a background in accounting and finance, Acca Alin Nedelcu has a wealth of experience in leading teams, fostering innovation and change, and delivering impactful presentations.
Acca Alin Nedelcu possesses technical expertise in Advanced Analytics and Cloud technologies, including Python, SQL, Tensorflow, Hadoop, AWS Machine Learning Stack, machine learning, natural language processing, and more, with a focus on financial industry use cases.
Having studied at ACCA and the Academia de Studii Economice din București, Acca Alin Nedelcu holds an Advanced Diploma in Accounting and Business and has a deep understanding of Banks and Stock Exchange operations.
Acca Alin Nedelcu's professional journey includes roles such as Head of Advanced Analytics, Lead Data Scientist, Risk Architect, and various credit risk analyst positions at Raiffeisen Bank Romania, Libra Bank, BRD, and UniCredit Services, showcasing a diverse and extensive career in the financial and data science fields.
Highlights
I am excited to announce that we are actively seeking a talented Machine Learning Engineer to join our exceptional team!
Join our passionate team and be at the forefront of the AI revolution! Don't miss out on this incredible opportunity to shape the future. Apply today or refer someone you know who would be a great fit.
Let's build the next generation of intelligent solutions together!
#MachineLearningEngineer #JoinOurTeam #raiffeisen #ai
We currently have some open positions in our team and we are searching both senior and junior roles, so if you want to bring your career in the AI field at a new level or rather start working in AI together with an experienced team that can guide you in your development, you can apply below. Our team is composed of MLE, DE and ML DevOps and works on a variety of use cases from different banking areas that will require you to apply Supervised Learning, Anomaly Detection, NLP or Deep Learning methods. You will be using hybrid infrastructure (cloud and on prem) and you will work mostly with Python ecosystem (scikitlearn, keras, tensorflow, pytorch, django), hadoop tools (hive, spark), Kubernetees and other ml tools (mflow, kubeflow).
@mynetwork please help me to reach more people by liking and sharing this role
