Alexandru Stoica

Data Science
Data Scientist
Vetted by
Experienced Data Scientist and Team Lead with a demonstrated history of working in cybersecurity and finance sectors. Skilled in Linux, Google Cloud Platform (GCP), and data-driven problem solving. Proven ability to lead teams towards impactful insights and solutions.

Skill

Experience

Vetting results

Data Scientist

4
yr.
Python;PyTorch;Pandas;SQL;Linux;

Certifications

Experience

Work Experience

Data Science Team Lead, Bitdefender, August 2022 -present

  • Lead a team of data scientists in developing advanced cybersecurity solutions leveraging machine learning and AI techniques.
  • Design and implement scalable data pipelines on Google Cloud Platform (GCP) for real-time threat detection and analysis.
  • Collaborate cross-functionally with engineering and product teams to integrate data-driven insights into product development lifecycle.
  • Mentor junior team members, conduct code reviews, and drive best practices in data science methodologies.
  • Drive innovation through research and implementation of state-of-the-art algorithms for anomaly detection and threat intelligence.
  • Data Scientist, Deloitte Technology Romania, 2021 - 2022

  • Applied machine learning models to optimize operational processes in the financial sector, focusing on risk assessment and fraud detection.
  • Developed predictive models using Python and R, leveraging cloud technologies for scalable model deployment.
  • Collaborated with clients to understand business requirements and deliver data-driven solutions that improved decision-making processes.
  • Conducted exploratory data analysis (EDA) and implemented statistical models to derive actionable insights from complex datasets.
  • Presented findings and recommendations to stakeholders, contributing to strategic business initiatives.
  • Data Scientist, Raiffeisen Bank Romania, 2020 - 2021

  • Analyzed customer data to enhance personalized banking services, improving customer retention and satisfaction.
  • Developed and maintained statistical models for credit risk assessment and portfolio management.
  • Implemented data-driven strategies that increased operational efficiency and reduced costs.
  • Designed and implemented data visualizations and dashboards using tools like Tableau for effective communication of insights.
  • Collaborated with cross-functional teams to implement data governance policies and ensure data quality and integrity.
  • R&D Machine Learning Intern, Xperi Corporation, 2019 - 2019

  • Developed and optimized a neural network model for portrait relighting, enhancing the quality of images under varying lighting conditions.
  • Implemented state-of-the-art computer vision algorithms using Python and TensorFlow.
  • Designed and built a data acquisition system using Arduino and radio transmitters to control lighting environments for image data collection.
  • Conducted experiments and analyzed results to improve model performance and efficiency.
  • Presented findings and contributed to research publications and internal knowledge sharing sessions.
  • Software Developer, Zitec, 2018 - 2019

  • Developed web applications and software solutions using Python, Django, and JavaScript.
  • Collaborated with a team of developers and designers to deliver projects within deadlines and according to specifications.
  • Implemented and maintained APIs for seamless integration with external systems and services.
  • Participated in Agile development processes, including sprint planning, daily stand-ups, and retrospectives.
  • Contributed to the design and architecture of software solutions, focusing on scalability and performance optimizations.
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