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OUR SPEAKERS
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I'm Irit Feder, a passionate data analyst with over 9 years of experience in the field. Currently, I work as a marketing analyst at Next-insurance, where I leverage my expertise to derive meaningful insights. Prior to that, I held the role of Business & Product analyst at Outbrain, honing my skills in data-driven decision-making.
My journey in data analysis began during my service in the intelligence corps, where I served as a programmer for 5 years at Mamram. Although my background was in programming, I discovered my true passion lies in data, insights, and working with people.
During my time at Tel Aviv University, where I studied industrial and management engineering, I took the opportunity to share my knowledge and love for Python by becoming a lecturer at Xtra student in Tel Aviv University. I developed and taught a Python course from scratch, and my commitment to educating others continued for over 6 years. Furthermore, I extended my teaching endeavors to Afeka College, where I conducted a Python course for engineering students.
Giving back to the community is essential to me, and for the last 3 years, I have been volunteering as a lecturer at SheCode. There, I teach courses on Pandas, Visualization, and Data Analysis, and it brings me immense joy to help aspiring individuals pursue their passions in this dynamic field.
With a dedication to data analysis and a commitment to sharing knowledge, I'm excited to continue making a positive impact in the world of data.
Irit Feder
Data Analysis @ Next Insurance
English, Hebrew
Languages:
Location:
Tel Aviv, Israel
Can also give an online talk/webinar
Paid only. Contact speaker for pricing!
MY TALKS
How to make data work for you - from manual to automate process
Data / AI / ML
In this talk, I would like to present an easy way to turn a repetitive manual process into an automated process. You don't need to be a programmer in order to make such a change.
In a few rows in Jupiter or with Tableau (or any other visualization tool), you can make such a change.
For example, I created an alert that sends a slack when Unknown leads increase dramatically (easy, easy- zero code via Tableau). This alert makes us go deeply and fix a dramatic bug.
Another Example is a repeating report that I created every week for a team member from SQL and Excel that I run every week to union external data; she works with our internal data. Instead, I created a Tableau report that bland a Google sheet report with our internal data and presented the result immediately. Nowadays, she can fill out the Google sheet whenever she needs it, and she will see the data immediately.
“The Best Way to Learn Is to Teach” - How Explaining Python Makes You Better at It
General, Soft Skills, Data / AI / ML
During my second year as a student at Tel Aviv University, I was asked to teach Python to a group of people from diverse backgrounds, none of whom had any prior coding experience. I was also responsible for building the entire syllabus from scratch. My biggest challenge was creating content suitable for a very non-homogenous group of students.
I soon realized the key wasn't teaching them how to code in Python, but rather how to THINK in Python. By taking complex concepts and breaking them down into smaller, simpler problems from everyday life, the learning process suddenly became much easier for everyone.
As my Python class grew and my teaching methods improved, I noticed that the act of teaching didn't just benefit my students; it incredibly sharpened my own skills as a Data Analyst. It taught me how to anticipate and diagnose bugs from a mile away, think of creative solutions to problems, and break down complex ideas into manageable steps.
In this talk, I will argue that educating others is one of the most effective strategies for self-improvement and professional excellence. And yes, I'll teach you (pun intended) how to do the same.
How to make data work for you - from manual to automate process
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“The Best Way to Learn Is to Teach” - How Explaining Python Makes You Better at It
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