Panchamy Krishnan

I'm a

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

  • Data Analysis: Geopandas, Pandas, NumPy, NetworkX, OSMnx
  • Machine Learning: Scikit-learn, TensorFlow, Keras
  • Data Modeling: Feature Engineering, Feature Importance, Regression, Clustering, Classification, Image & Text Processing.
  • Data Visualization: Plotly, Matplotlib, Bokeh, Seaborn, Kepler, Leaflet, Folium
  • Database Systems: MySQL, PostgreSQL
  • Cloud Platforms: Microsoft Azure, Google Cloud Platform
  • Frameworks/Tools: Databricks, VertexAI, Jupyter, Docker, Git, GitHub, GitLab, Flask, FastAPI, Streamlit
  • Python 90%
    HTML 80%
    CSS 70%
    JavaScript 70%
    MATLAB 80%
    Java 50%

    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
    Download CV

    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

  • Degree Awarded with cum laude
  • Dissertation: Multiscale Pattern Recognition of Transport Network Dynamics and its Applications
  • Double Master of Science & Computer Science

    2013 - 2015

    Entry University: Delft University of Technology, The Netherlands

    Exit University: KTH Royal Institute of Technology, Sweden

  • Awarded scholarship worth 22000 Euros for pursuing EIT Digital Masters
  • Thesis: Supervised learning for measuring hip joint distance in x-ray images at Clinical Graphics B.V.
  • Bachelor of Science & Electronics and Communication Engineering

    2009 - 2013

    Amrita School of Engineering, Kollam, India

    Exchange Semester: KTH Royal Institute of Technology, Sweden

    Thesis: Visual Based In-flight File Transfer

    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