About
As an AI and Data Science expert, my passion lies in creating and innovating, with a keen interest in visualization and storytelling. An avid Pythonista, I view coding as an art form, constantly pushing boundaries to design effective solutions. Teamwork is at the heart of my work; I revel in collaborative environments and in building engaging communities. But what truly fuels me is mentoring and coaching, inspiring the next generation of data scientists, and witnessing their growth. My journey is a blend of learning, creation, collaboration, and mentorship, all in the exciting landscape of AI and Data Science.
Lead Data Scientist
- Degree: Doctorate
- Email: kpanchamy@gmail.com
- Phone: +31 626365054
- City: Delft, The Netherlands
Years Experience
Publications
PhD and MSc Students
Large-Scale Projects
Skills
Resume
A seasoned Data Scientist & AI expert passionate about implementing innovative data strategies and transforming organizations. Experienced in managing the full data product development lifecycle, from concept to deployment. Proven skill in translating complex data into actionable insights to drive business growth and advancement.
- My DevOps tech stack: PostgreSQL, Python, HTML/CSS/JS, Flask/FastAPI, Docker, Git, GitLab CI/CD, Confluence, Jira
- My MLOps tech stack: Databricks, Python, Jupyter Notebooks, TensorFlow, Keras, Scikit-learn
Summary
Panchamy Krishnakumari
AI and Data Science expert focusing on explainable AI, complex networks and advanced visualisation.
Strong leadership skills, including the ability to manage a team, delegate tasks effectively, and mentor junior team members.
Solid understanding of data privacy regulations and ethical considerations in data science.
Excellent communication skills to convey complex data-driven insights to non-technical team members and stakeholders.
- Delft, The Netherlands
- kpanchamy@gmail.com
Education
Doctor of Philosophy & Transport & Planning
2016 - 2020
Delft University of Technology, The Netherlands
Double Master of Science & Computer Science
2013 - 2015
Entry University: Delft University of Technology, The Netherlands
Exit University: KTH Royal Institute of Technology, Sweden
Bachelor of Science & Electronics and Communication Engineering
2009 - 2013
Amrita School of Engineering, Kollam, India
Exchange Semester: KTH Royal Institute of Technology, Sweden
Professional Experience
Advanced Analytics Manager & Lead Data Scientist
2023 - Present
Samsung Electronics Benelux, The Netherlands
- Part of the leadership team of the Data & Analytics group.
- Developed and continuously refined propensity models to identify high-potential customer segments for precise customer targeting.
- Improved team efficiency by implementing Agile and Scrum methodologies for project management.
Assistant Professor
2020 - 2023
Delft University of Technology, The Netherlands
- Co-build a AI group of 19 PhD students and 1 postdoc in 3 years.
- Acquired more than 2ME funding for 6 PhD students, lead the data task in a large consortium EU green deal project and involved in 2 other EU projects.
- Supervised more than 10 MSc students in their thesis project related to data science and machine learning topics.
- Coordinated AI, data science, and programming courses for MSc and PhD students.
Postdoctoral Researcher
2020 - 2020
Delft University of Technology, The Netherlands
- Managed the NWO-funded project Mirrors on multiscale traffic estimation and prediction, consisting of 2 PhDs, 1 Postdoc, and 3 industrial partners.
- Build a technical data team. Set up data and coding guidelines.
- Supervised 3 MSc students and taught a BSc and MSc course.
- Organized a hackathon and seminar.
PhD Candidate
2016 - 2020
Delft University of Technology, The Netherlands
- Awarded cum laude for the dissertation, top 3% of the PhDs in TU Delft.
- Authored/co-authored more than 9 conference and journal publications.
- Supervised 3 MSc students & 1 BSc student and assisted in 2 MSc courses.
- Organized more than 6 national workshops and seminars.
Data Science Consultant
2015 - 2018
CGI B.V., Rotterdam, The Netherlands
- Build data loader, fusion, and filtering methodologies for loop detector traffic data as MATLAB API services.
- Designed and developed a web application using Java Server Face framework for visualizing 10 years of traffic data for the whole of the Netherlands.
- Developed web application prototype for traffic accessibility monitoring for Amsterdam city.
- Presented state-of-the-art research to practitioners at outreach events.
Projects
Welcome to the Knowledge Hub, a showcase of scholarly exploration. This section highlights my personal research and the groundbreaking work of PhD and Master's students when I was their supervisor. For an exhaustive list of my journey of academic discovery, visit my google scholar.
- All
- Machine Learning
- Data Science
- Network Science
Tools
Welcome to the Workbench, the showcase of my innovation. Here, you'll find a variety of tools, services, and prototypes I've created during my research or for clients. Each project underlines my skills and dedication to turn abstract ideas into reality. Request access for temporary login and password for the demos!
Congestion Search Engine (COSI)
Advanced search engine for querying through large traffic database for the whole of the Netherlands using contextual information.
NDW Data Viewer
Visualisation of the NDW loop detector for the whole of the Netherlands from the year 2019 to present.
Prediction API for Digital Twin
Flask API for forecasting the visitors for the next ten days for the beach area near the Hague and incorporated it into the Digital Twin of the city.
Safety Indicators for Dutch Highways
Prototype for visualising the safety indicator for the Dutch highways based on COSI.
NDW Data Downloader
Prototype for downloading NDW data for a corridor for any set of dates, an entire period or day of week.
Contact
Made it this far? Great! Now let's make things happen. Got ideas, questions, or simply want to say hi? Just reach out. Excited to connect and create. Your message is just a click away!
Location:
Delft, The Netherlands