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Practical Data Science - Interview Preparation - Working backwards from End Product with Machine Learning

Class teaches you how to apply your math and coding skills, and prepares you for the interviews with the companies ranging from start-ups to the big tech giants. It covers ML part: (i) working backwards from problem statement with Data Science eyes, (ii) choosing the best Machine Learning approach, (iii) drilling down in ML, and interview preparation part: (iv) preparing you to answer tech questions, (v) ML concepts questions, (vi) product questions, (vii) work principles questions.

Location

Online via webcam

General info

Skills:
Age:
Teenagers (13-17 years old)
Adults (18-64 years old)
Student level:
Beginner
Intermediate
Advanced
Duration:
60 minutes
The class is taught in:English, Italian, Serbian, French

About Me

I'm a Sr Data Scientist | Sr Product Manager with 9+ years of experience in Amazon, Generali, and PWC. I am passionate about building strategies, launching products, and democratizing AI knowledge.

Education

Master of Science, Mathematics (Probability and Statistics) from University of Belgrade, GPA 9.75/10
Bachelor of Science, Mathematics (Probability and Statistics) from University of Belgrade, GPA 9.28/10

Experience / Qualifications

Amazon EU, Italy / Belgium
Sr Product Manager Expansions (July ’21 – present)
• Owner of the Selection and Vendor management strategy for Amazon expansion into a new geography, creating and
executing on a first-time-at-Amazon scalable and lean operating model for expansion
• Single-threaded leader of the Catalog Localization for 5 new countries launch across 3 continents
Amazon EU, Milan, Italy
Sr Data Scientist | Sr Product Manager (July ‘19 – June ‘21)
• Leading a team that uses Machine Learning to introduce step-change in Amazon EU Retail business by incubating
innovative ideas that improve customer experience and optimize the way business is managed.
• Projects: Automatic root cause detection using NLP on customer feedback (return rate reduction 24% using ML
classification and unsupervised insights extraction); Causal inference pipeline for Promotions propensity and
incrementality (>1000 business users, yearly savings 12%); Price erosion prediction along the product lifecycle
• Tech stack: Python (spacy/BERT, sklearn, Keras), AWS (Lambda, Amazon SageMaker, s3, QuickSight)
Generali Group, Milan, Italy
Sr Data Scientist ( March ‘16 – June ‘19)
• End to end Data Science projects: Business case setup, guidance on analytical process, product implementation
• Business areas: Process optimization and automation, Fraud, Claims management, Health insurance, Pricing
• Machine Learning algorithms: Deep Learning with Keras, Computer Vision, Natural Language Processing, OCR
• Tech stack: Python, Spark, R, Microsoft Azure, Spotfire, Tableau
Generali insurance Serbia, Belgrade, Serbia
Actuary (June ‘13 – February ‘16)
• Pricing and product development for property and casualty insurance, modeling of new tariffs for non-life insurance
• Pricing risk assessment, Reserving risk assessment, and technical reserves calculation
• Forecasts and business plans: best estimate of liabilities
PricewaterhouseCoopers, Belgrade, Serbia
Intern in Assurance (September ‘12 – March ‘13)
• Team member on audit engagements of financial statements: audit of business processes, design, and operation of
internal controls, performing substantive testing
• Assessment of loan loss provisions in the financial services industry

Ask a question

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Availability of a typical week

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from $59.38Online via webcam

Good-fit Instructor Guarantee


If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

Online reputation

  • Instructor since December 2021
  • Phone number verified
  • Google connected

Availability of a typical week

MonTueWedThuFriSatSun
7              
8              
9              
10  Monday at 10:00  Tuesday at 10:00  Wednesday at 10:00  Thursday at 10:00  Friday at 10:00    
11  Monday at 11:00  Tuesday at 11:00  Wednesday at 11:00  Thursday at 11:00  Friday at 11:00    
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14  Monday at 14:00  Tuesday at 14:00  Wednesday at 14:00  Thursday at 14:00  Friday at 14:00    
15  Monday at 15:00  Tuesday at 15:00  Wednesday at 15:00  Thursday at 15:00  Friday at 15:00    
16  Monday at 16:00  Tuesday at 16:00  Wednesday at 16:00  Thursday at 16:00  Friday at 16:00    
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from $59.38Online via webcam

Good-fit Instructor Guarantee


If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

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