Omar Mohamed Adel Kamal
Nasr city, Cairo, Egypt | - | - |-LinkedIn: https://www.linkedin.com/in/engomaradel
Experiences
Data Scientist – Ministry of Finance, Saudi Arabia
o
o
(03/2020 to present)
Multi-cultural team of data scientists & data engineers. Handle whole data analytics life
cycle: business engagement, data exploration, model building, results presentation and
deployment. My role differs from project to project, (Business engagement &
understanding - Data discovery & preparation – Model building & deployment). Uses
(Python – Pandas – Sklearn – keras – seaborn – matplotlib – dataiku – SQL – PowerBI
– XGBoost – LGBM)
Projects: Contracts Anomaly Detection – Financial claim Lifetime prediction –
Contracts Prices prediction – contracts clustering – employees clustering – auditing
– strategic analytics.
Data analytics mentor – CareerFoundry, Berlin(Remote)(11/2021 to present)
o
As a consultant to educational platforms, such as CareerFoundry, I utilize my knowledge in
the fields of machine learning & data science and my strong communication skills to
provide mentorship and other student support services.
Machine learning session lead – Udacity, USA(Remote) (10/2021 to present)
o
As a consultant to educational platforms, such as Udacity, I utilize my knowledge in the
fields of machine learning & data science and my strong communication skills to provide
mentorship and other student support services.
Data Engineer – Ministry of Finance, Saudi Arabia
o
Built REST APIs for the data warehouse. Used ( Kudu – Streamsets – Jython – Impala )
Machine Learning SME – Portolearn, Cairo(Remote)
o
(02/2020 to 03/2020)
(02/2020 to 04/2020)
Developed a Machine learning content for an Intro ML course. (Contained Supervised
learning – Classification – Regression – metrics)
Big Data Engineer – Ejada ltd, Cairo
Machine learning trainee – Amazon, Cairo(Remote)
(09/2019 to Present)
(06/2020 to 09/2020)
Trained with machine learning engineers from amazon. Worked on different aws tools
( Glue – Athena – EC2 – SageMaker – S3 – Route51…). Worked on different usecases
( Recommendation – Loan default – NLP sentiment analysis)
IoT Mentorship program – Dell EMC, Cairo
(01/2019 to 03/2019)
o Took a week of crash courses in Big data, IoT and Machine learning. Then the top 7 in the
bootcamp (whom i was one of) were chosen to work on a case study under mentorship
from Dell EMC for the rest of the period.
o
Education & Certificates
BSc Computers & Systems Engineering Ain shams University. Grade: Very good.
(81%)
(07/2019)
o Exams cloud (Frontend, backend, database)
AWS Certified Machine learning specialist.
(12/2020)
o https://www.youracclaim.com/badges/6674c0e7-919a-ea7599aaf1ed/public_url
Machine learning Nanodegree graduate from Udacity. (06/2019 to 12/2019)
o Binary Classification model (LGBM)-- DonorsChoose.org
o Customer Segmentation (Unsupervised learning)
o Dog breeds classification (Neural Nets)
o Finding Donors (Supervised learning)
o Boston Housing (Validation & Evaluation) – MLND
NLP Nanodegree
o Words vector representation.
o Parts of speech tagging.
o Sentiment analysis.
o Topic modelling.
o Machine translation.
(07/2020 to 10/2020)
Skills & Abilities
Python
(Matplotlib,Keras,pandas,sklearn…).
PowerBI
Dataiku
Streamsets
Impala
SQL.
GIT/GITHUB.
OOP.
Leadership.
Communication.
Familiar with:
C++/R/java/PHP/Laravel/HTML/
CSS/Bootstrap/JavaScript/jQuery
/mongo dB/HDFS/Kafka/KNIME
/AirFlow.
Extracurricular Activities
AC VICE HEAD | PIRATES STUDENT ACTIVITY | SEPTEMEBER 2017 TO JANUARY 2018
Recruiting members.
Training academic instructors.
Coordinating with other committees.
Planning & assigning tasks
ACADEMIC INSTRUCTOR | PIRATES STUDENT ACTIVITY | SEPTEMBER 2016 TO JULY 2017
Responsible for preparing & teaching MATLAB / Simulink intro workshop.
Responsible for preparing & teaching Game theory intro workshop.
Languages
Fluent in English.
Native in Arabic.
Page 2
