diff --git a/pages/fellows.md b/pages/fellows.md
index bfc5ab42d..9c3b64c7b 100644
--- a/pages/fellows.md
+++ b/pages/fellows.md
@@ -160,5 +160,3 @@ constraints)
   </div>
   <br>
 </div>
-
-
diff --git a/pages/fellows/2022/Andreylen.md b/pages/fellows/2022/Andreylen.md
index a893b3c63..3bfad2a67 100644
--- a/pages/fellows/2022/Andreylen.md
+++ b/pages/fellows/2022/Andreylen.md
@@ -7,18 +7,26 @@ fellow-name: Andrii Len
 title: Andrii Len - IRIS-HEP Fellow
 active: True
 dates:
-  start: 2022-06-27
+- start: 2022-06-27
   end: 2022-09-18
+- start: 2023-07-03
+  end: 2023-09-22
 photo: /assets/images/team/fellows-2022/Andrii-Len.jpg
 institution: Taras Shevchenko National University of Kyiv
 e-mail: andrlen2002@gmail.com
-project_title: The usage of Deep Learning for QCD background estimation
-project_goal: >
+projects:
+- project_title: The usage of Deep Learning for QCD background estimation
+  project_goal: >
     The focus of the present project is to find optimal deep learning models to be used for the separation of signal and background events.
-mentors:
+  mentors:
   - Ece Asilar (CERN)
-
-proposal: /assets/pdf/fellows-2022/211-proposal-Andrii-Len.pdf
+  proposal: /assets/pdf/fellows-2022/211-proposal-Andrii-Len.pdf
+- project_title: Predict CMS data popularity to improve its availability for physics analysis
+  project_goal: >
+    The focus of the project is to aggregate and extract data usage information, find data's features and optimal Machine Learning models to predict the probability that a dataset will be accessed in the next month.
+  mentors:
+  - Dmytro Kovalskyi, Rahul Chauhan, Hasan Ozturk
+  proposal: /assets/pdf/fellows-2023/U009-proposal-Andrii-Len.pdf
 presentations:
 - title: The usage of Deep Learning for QCD background estimation
   date: 2022-10-19
diff --git a/pages/fellows/2023/Andriilen.md b/pages/fellows/2023/Andriilen.md
deleted file mode 100644
index bf1f1be89..000000000
--- a/pages/fellows/2023/Andriilen.md
+++ /dev/null
@@ -1,40 +0,0 @@
----
-layout: fellow
-pagetype: fellow
-shortname: Andreylen
-permalink: /fellows/Andreylen.html
-fellow-name: Andrii Len
-title: Andrii Len - IRIS-HEP Fellow
-active: False
-dates:
-  start: 2022-06-27
-  end: 2022-09-18
-  start: 2023-07-03
-  end: 2023-09-22
-photo: /assets/images/team/fellows-2022/Andrii-Len.jpg
-institution: Taras Shevchenko National University of Kyiv
-e-mail: andrlen2002@gmail.com
-projects:
-- project_title: The usage of Deep Learning for QCD background estimation
-  project_goal: >
-    The focus of the present project is to find optimal deep learning models to be used for the separation of signal and background events.
-  mentors:
-  - Ece Asilar (CERN)
-  proposal: /assets/pdf/fellows-2022/211-proposal-Andrii-Len.pdf
-- project_title: Predict CMS data popularity to improve its availability for physics analysis
-  project_goal: >
-    The focus of the project is to aggregate and extract data usage information, find data's features and optimal Machine Learning models to predict the probability that a dataset will be accessed in the next month.
-  mentors:
-  - Dmytro Kovalskyi, Rahul Chauhan, Hasan Ozturk
-  proposal: /assets/pdf/fellows-2023/U009-proposal-Andrii-Len.pdf
-presentations:
-- title: The usage of Deep Learning for QCD background estimation
-  date: 2022-10-19
-  url: https://indico.cern.ch/event/1199559/contributions/5097272/attachments/2531407/4355497/IRIS-Hep%20Andrii_Len_Final_Presentation.pdf
-  meeting: IRIS-HEP Fellows Presentations 2022
-  meetingurl: https://indico.cern.ch/event/1199559/
-  recordingurl: https://youtu.be/gEaqn7C9ipY
-  focus-area: ia
-current_status:
-github-username: Andreylen
----