Lukas J.
Data Scientist

Skills

Microsoft Sql Server

Python

Postgresql

Amazon Aws

Google Cloud

Docker Cloud

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Bio

Possessing over a decade of experience in the IT sector, with a focus on IP CCTV monitoring, access control, and entrepreneurship, I have cultivated a profound expertise in the science and technology domain. My academic journey includes professional certifications in Data Science from esteemed institutions like IBM, Stanford University, and Deep Learning.AI, enriching my knowledge base under the guidance of renowned experts such as Andrew Ng and engineers from Google. Renowned for delivering meticulous work with unwavering dedication, I continuously seek knowledge and experiences to enhance both my professional capabilities and personal growth. Presently, I am engaged as a full-time data scientist, contributing to the field in both professional and academic capacities. Additionally, my role extends to volunteering as a Mentor in Machine Learning courses at Stanford University and participating as an Alpha Tester in various Deep Learning.AI courses.

Senior Data Scientist
1/1/2023 - 11/1/2023

Developed proficiency in creating AI modules for software applications. Leveraged advanced machine learning frameworks such as TensorFlow and PyTorch to design, train, and deploy neural networks. Implemented natural language processing algorithms using spaCy and NLTK to enhance text analysis capabilities. Enhanced data manipulation and analysis through extensive use of Pandas and NumPy, ensuring robust preprocessing pipelines. Integrated AI models with existing software architecture employing REST and GraphQL APIs. Conducted model evaluation and hyperparameter tuning using Scikit-learn. Ensured version control and collaborative development with Git and GitHub. Automated workflows and model deployment processes utilizing Docker and Kubernetes. Conducted performance monitoring and optimization leveraging cloud services like AWS and Google Cloud Platform.
Lead Data Scientist
1/1/2022 - Present

Led a team to drive strategic data initiatives, demonstrating advanced proficiency in Python, R, and SQL. Extensive experience in using machine learning frameworks like TensorFlow, Keras, and Scikit-learn to develop predictive models and data-driven solutions. Developed and deployed data pipelines and ETL processes on cloud platforms such as AWS, Azure, and Google Cloud. Utilized big data technologies like Hadoop, Spark, and Kafka for large-scale data processing and real-time analytics. Applied data visualization tools like Tableau, Power BI, and D3.js to communicate insights and support decision-making. Ensured the implementation of best practices in data governance, quality, and security. Collaborated across multifunctional teams to integrate data science solutions into business operations. Mentored junior data scientists and fostered a culture of continuous learning and innovation within the team.
Data Scientist and Partner
9/1/2020 - 10/1/2021

Led various data science and data analysis projects targeting condominiums, management companies, and law firms. Developed advanced analytical models and machine learning algorithms to extract actionable insights from complex datasets. Utilized tools such as Python, R, and SQL for in-depth data manipulation and visualization. Leveraged TensorFlow and Keras for deep learning tasks, enhancing predictive analytics capabilities. Employed big data technologies like Hadoop and Spark to manage and process large volumes of structured and unstructured data efficiently. Implemented data cleaning and preprocessing techniques to ensure data integrity and reliability. Created automated reporting systems using tools such as Tableau and Power BI, facilitating real-time data-driven decision-making.

Ensured best practices in data security and compliance, adhering to relevant legal and regulatory requirements. Collaborated with cross-functional teams to translate business needs into analytical methodologies, delivering tailored solutions that improved operational efficiency. Demonstrated strong capabilities in SQL databases and NoSQL databases like MongoDB for effective data storage solutions. Maintained and enhanced collaborative code and version control using Git, ensuring seamless integration and deployment of analytical solutions. Developed a comprehensive understanding of cloud platforms such as AWS and Azure for scalable data science operations, contributing to system optimization and cost reduction.
Consultant / Partner
9/1/2016 - Present

Developed expertise in the design, implementation, and management of secure internet networks utilizing advanced protocols and encryption standards. Demonstrated proficiency in firewall configuration, VPN setup, IDS/IPS deployment, and secure network architecture. Extensive experience with network monitoring and analysis tools such as Wireshark, NetFlow, and Nagios. Utilized industry-standard security frameworks and compliance standards including NIST, ISO 27001, and GDPR. Managed and responded to security incidents with comprehensive incident response plans and tools like SIEM. Enhanced network security by conducting regular vulnerability assessments and penetration testing using tools such as Nessus, Metasploit, and Burp Suite. Collaborated effectively using version control systems such as Git and project management tools like Jira. Employed automation and scripting skills to streamline network management and security tasks with Python and Bash. Maintained a focus on continuous improvement and stayed current with the latest security trends and technologies.
IT Technician
1/1/2013 - 8/1/2016

Gained proficiency in troubleshooting and resolving hardware and software issues across various operating systems. Showcased expertise in the installation, configuration, and maintenance of IP camera monitoring systems. Developed advanced skills in network setup, ensuring optimal performance and security for clients. Demonstrated adeptness in using remote desktop tools and ticketing systems to streamline support processes. Maintained updated documentation on system configurations and resolved technical issues. Collaborated with team members to deliver timely and effective solutions to end-users' technical challenges. Expanded knowledge of cybersecurity practices to protect intellectual property and sensitive data. Proficient in Windows Server, Active Directory, and essential command-line tools.