.

1. Youssef Kamal
Data Scientist

2. Education
Professional Experience
Extra
M.Sc Business Engineering (Germany)
•
E-MBA (USA)
•
M.Sc AI & Data Science (Germany)
•
Head of Data Science & Analytics @ Illa
•
Data Scientist @ CIB
•
Director of Data @ Adva
•
CEO @ Euclid Solutions
•
Udacity Session Lead for AI Nano Degree
•
Founder Lebaldna Develpmental
Foundation
•
Paratrooper
•
Guniess World Record Holder
•

3. Data

4. Da ta
Where the magic happens.
We analyse your data and generate data driven consultancy.
Our consultancy includes business, sales and marketing
recommendations. We run AB tests to provide the optimum
formula for higher conversion rate and market penetration
Data Science
Modelling and GROWTH
Data Analytics
Statistics and Visuals
Machine Learning
Machine learning modeling &
MLOPS
Data Engineering
Pipelines & Quality

5. Ty p e s o f A n a l y t i c s
Descriptive Analytics
Real time visibility & analytics for
Customer retention, acquisition and
churn
Prescriptive Analytics
How to solve the business pain
Diagnostic Analytics
Funnel Analysis analysing pain points
Pointing out areas of development
Predictive Analytics
Customer segmentation creating
personalised targeting
Predict future sales and potential
customers
I f y o u c a n ' t c o u n t i t ,
y o u c a n ' t i m p r o v e i t !

6. D u n k i n K r u g e r E f f e c t !

7. Data Governance?
C o m p l i a n c e !

8. A v a i l i b i l i t y
U s a b i l i t y
I n t e g r i t y
S e c u r i t y

10. F r a m e w o r k
Data Assets Discovery
Policy
Assets Classification
Rules

11. P o t t e r ' s Va l u e C h a i n

17. Data Quality?

18. Impact Understood Definition
Discoverable
Clean
Arrives in Schedules
Trust
Business Value
Easy To Use

19. reference: how to lie with statistics

20. M O N E TA RY VA L U E
M
C O N S I S T E N C Y
C
Customer
Segmentation
R
R E C E N C Y
F
F R E Q U E N C Y

22. Customer Base Analysis
550
500
450
400
350
300
250
200
150
100
50
0
1 2 3
active inactive new return
12% Average Monthly Churn Rate

23. B o o k s
Lean Analytrics
Analyrucs
How to Lie with
Statistics
Visualisation
Fundamentals of Data
Engineering
Dat Engineering
Practical Statistics for
Data Scientists
Data Science
Simple Path tho Wealth
Finance
Lean Analytrics
MLOps

24. F r e e K i c k S t a r t C o u r s e s
Data Talks Club (Alexey)
1) Data Engineering
2) Machine LEarning
3) Machine Learning Opearions
Code with mosh
1) SQL
2) Python
dataengineer.io (Zach Wilson) 300USD
1) Advanced Data Engibeering for
FAANG Companies
ITI (Information Technology Institute)
9 months intensive hands on experience
AWS Cloud Practitioner (MCIT)
Google Data Analytics Certificate
AWS, Udacity, Coursera
egfwd Data Analytics Track (3 Courses)

25. CONTINUOUS
LEARNING

26. Thank You