DataSci NU
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DataSci is a student club at Nazarbayev University aim of which is to promote data science in the university and beyond.

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www.datasci.website
instagram.com/nu_datasci
linkedin.com/company/datasci-kz
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Forwarded from Vantage Point Fund
Inside Finance Careers: Real Skills, Decisions, and Paths That Actually Matter

Vantage Point and NU Data Science invites you to an exclusive guest lecture with a finance and data professional from Bloomberg.

Guest:

Aizhan Adail - Senior Data Analyst, Sustainable Finance at Bloomberg

About the speaker:

• Works with ESG and financial datasets used by global institutional investors.
• Involved in data analysis, validation, and collaboration with product, engineering, and client teams at Bloomberg.
• Background in data analytics, BI, and investment research.

What we’ll cover:

• How careers in finance actually work today
• The role of data & ESG in investment decisions
• Breaking into Bloomberg and similar firms
• Skills that truly differentiate candidates
• Common mistakes students make entering the industry

📍 Location: Nazarbayev University
📌 Room: TBA
🕒 Date & Time: 16 april, 18:00

Registration: https://forms.gle/ungsH5w1AYSJQUv39

Vantage Point Club | NU Data Science
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Celebrating the success of DataSci Fest’26!🐰🎆

- We hosted an amazing lineup of practical talks. A huge thank you to our speakers: Serzhan Ossenov, Azat Yessen, Dias Ilyas, Ekaterina Rabinovich, Akylbek Maxutov, Alina Kvon, and Aidana Baglanova. We’re confident everyone walked away with fresh perspectives and actionable insights📝💡
- The energy didn’t stop at the stage! Our AI Startup Alley was buzzing with innovation thanks to FABS 3D AI, OI MARKET, and REKREATE AI, followed by interactive games and hands-on workshops led by Darkhan Zholtayev and Danial Sultanov💻🧩

- A special thank you to Sustainable Innovation and Technology Foundation, NU Association for the Development of Student Life, and the Nazarbayev University Impact Foundation for their sponsorship, incredible support, and commitment to the data science community!🙏✨
- Grateful to our festival partners for the unique opportunities provided to our participants: Tiffany Photo, DataBoom, Dio Grand Café, Atmosfera, Prime Game Hub, Kakao Dak, Daily Cup🚀⚡️
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🚀 Want to start a career in Data Science but don’t know where to begin?

Join a practical session with Nurzhan Amanbayev, Middle Data Scientist @ Mechta.kz, and get a clear roadmap, real-world insights, and common beginner mistakes to avoid.

📅 April 7
🕡 18:30
📍 3E.220
🖇️ Registration link

🎯 Perfect for students, beginners, and anyone exploring AI/ML
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Level up your career with KPMG 🚀
Join us for an exclusive guest lecture on Information Technology Consulting.
Real insights, big energy, and everything you need to know about Technology Consulting

🗓 Date: April 8
⏰ Time: 18:00
📍 Location: 7e.222
🖇️ Registration link

We’re waiting for you!
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Join Diana Ulaskhanova, Middle Data Scientist at QazCode for a deep dive into one of the most powerful techniques in modern AI – Retrieval-Augmented Generation (RAG).

She’ll cover:
🧠 Architecture of RAG
🔍 Key components: embeddings, vector databases, retrieval
💡 Real-world use cases
⚠️ Limitations & trade-offs

📅 Date: April 15
⏰ Time: 18:30
📍 Room: 7E.329

🔗 Register now!
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💜🖤Vote for the
🤩🤩 🤩🤩🤩🤩 🤩🤩🤩🤩🤩🤩🤩 🤩🤩🤩🤩 🐰 for Professional Development Club of the Year and DataSaur’26 🕺for Academic Event of the Year! 🚀🔥

This year, we went bigger than ever 💥⭐️

🌟 Our highlights, thanks to our amazing sponsors:

🕺 DataSaur’26 - 2 million prize pool, 2 cases, 2 coffee breaks, 670+ participants, and a new club record!
170 teams tackled real industry cases, and 100 teams made it to the pitching stage 🏆
Sponsors:
Beeline/QazCode, Freedom Broker 💎💼

🚀Datathon’25 - 2 million prize pool, 3 cases, 2 coffee breaks, 300+ participants
Sponsors:
Freedom Broker, Tele2/Altel, SHAI 🎯📊

🎓 DataConda & DataSci Fest’26 - guest lectures with industry experts 💡✨

We also made an impact through:

⚡️8 external workshops to build real skills (including two charity sessions)
⚡️Guest lectures with KPMG, QazCode, UGRIP, MasterCard, and Forbes 30 Under 30
⚡️Tech Talks led by our own students, sharing tips on CVs, interviews, and networking
⚡️ Collaborations with Proggy Buggy, ACM-W, CDF, DataArt and RCS

Our mission is simple: make Data Science accessible, exciting, and real for students ⭐️

We hope you 🫵🏻 felt that energy all year - thanks for being part of the journey! 🚀🎉
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