Jasur Sharofiddinov


Kanal geosi va tili: O‘zbekiston, O‘zbekcha
Toifa: Bloglar


Data Analyst at Payme
Python developer,
Bachelor of Science at Inha University in Tashkent

Prayers, Progress, Patience!
🔜 @datajobs_uz
PM: @jasurbeksharofiddinov

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Kanal geosi va tili
O‘zbekiston, O‘zbekcha
Toifa
Bloglar
Statistika
Postlar filtri


Nega Data Analyst uchun yaxshi communication ko‘nikmalari muhim?

Data analyst faqat raqamlar bilan ishlamaydi - u natijalarni boshqalarga tushunarli qilib yetkazish uchun ham javobgardir, buning uchun alohida hodim bo'lmaydi sizga))

- Savol so'rash: Data analyst uchun muhim ko‘nikmalardan biri bu kerakli ma’lumotlarni olish va business caselarni tog'ri tushunish uchun to‘g‘ri savollarni berishdir. Mavhum narsalardan aniq bir narsa chiqishi qiyin

-Hamkorlik: Jamoada boshqa soha mutaxassislari(backend, data engineer, bi engineer...) bilan ishlashga majbur bo'lasiz, chunki malumot sizga o'zidan o'zi kelib qolmaydi, business uchun kerakli malumotni backend orqali topib va malumot logikasini tushunib, data engineerlar orqali sizga yetib kelishi uchun o'ziz harakat qilasiz

- Ma'lumotlarni taqdim etish: Murakkab ma'lumotlarni, business strategiyalarni, visualizatsiyalarni oddiy va tushunarli qilib tushuntirish juda muhim. Chunki jamoa qarorlar qabul qilishda aynan sizning tahlilingizga tayanadi, aynan qaror qabul qilish uchun esa ular sizni ishingizni yaxshi tushuna olishi kerak

- Ishontira olish: Endi hamma narsa hal bo'ldi, business sizni tahlillaringizga qarab qaror chiqarishiga ham ishontira olishingiz kerak, bu esa eng qiyin joylaridan biri sizga aytsam, chunki sizni xato tahlillaringiz sabab business ortiqcha resource ishlatishni hohlamaydi, shu sababdan qilgan ishingizga kimnidur ishontira olish ham bu bir sanat😁

Ma'lumotni tahlil qilish - bu birinchi qadam. Uni boshqalarga tushunarli qilib yetkazish esa bazida undan qiyinroq va lekin muhim qadam💡


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@jasur_sharofiddinov




Key insights of various data skills mentioned in job posts by period:

🔥SQL and Python : Dominating mentions at over 50%, with SQL slightly ahead

📈 AWS : Steady growth, peaking mid-2024 (~35%)

💡Azure and Spark : Moderate presence, Azure trending up, Spark fluctuating

📊Tableau & Excel : Steady at 15-25%, Tableau slightly ahead

📉Declining SAS : Minimal (~5%) and falling

Power BI : Flat at 10-15%

SQL, Python, and cloud skills (AWS, Azure) dominate, while SAS declines

Source : link, link1

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This chart shows the number of job postings by job title from November 2022 to June 2024

Key insights:

Data Engineer 🔥: Data Engineer roles dominate throughout the period, maintaining the highest number of job postings (~50k to 60k), despite some fluctuations

Data Scientist 📉: Data Scientist postings show a gradual decline, stabilizing below Data Engineer

Data Analyst 📊 : Data Analyst roles are consistent, remaining the third most prominent title

Potensial 💡: Cloud Engineer and Machine Learning Engineer postings show slight increases but remain at lower volumes.

Specialized Roles: Senior-level positions (e.g., Senior Data Engineer) remain stable but have lower demand compared to general roles like Data Engineer

Source : link, link1

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@jasur_sharofiddinov


Competition for Junior Python dev is nuts😳

Hozirgina chiqqan vakansiyaga shuncha odama

@jasur_sharofiddinov


Elyor - IT Blog dan repost
Amerika Sun'iy Intellekt bo'yicha 500 milliard dollarlik loyiha boshladi.

Donald Tramp prezidentlikning 2-kunida “Stargate” deb nomlangan loyiha boshlanganini e’lon qildi. Unga 4 yil davomida 500 MILLIARD dollar ajratilishi ko‘zda tutilgan!

Bu gigant loyihaning asosi — tibbiyot sohasidagi inqilobiy ishlanmalarga yo‘l ochish. Saraton, boshqa turdagi xavfli kasalliklar, dori vositalarini yangicha kashf qilish… bularning barini Sun’iy Intellekt yordamida tezlashtirish rejalashtirilgan. Albatta, bu borada ulkan serverlar va data-markazlar zarur. Shu sabab Texasda 10 ta, keyin butun Amerika bo‘ylab yana 20 ta supermarkazlar quriladi.

Xo‘sh, hamkorlar kimlar?
Softbank, Nvidia, Oracle, MGX (BAA), Microsoft va Arm kabi gigant kompaniyalar bu safar OpenAI bilan hamkorlikda ishlaydi.

rasm manba: link

@Elyordev


#HuaweiMSSC opens Internship Program!

It presents unique opportunity for aspiring students to gain valuable experience in various digital domains and have a chance to join #Huawei family upon successful completion of internship.

We are looking for final year students (bachelor or master's) with
- basic IT skills and knowledge
- fluent English
- excellent communication skills
- strong willingness to learn and develop

Duration: 3 month

Deadline for application is
January 31st, 2025

Application Submission:
Send email with your CV in English and academic transcript along with your contact numbers to
diyora.fazilova1@huawei.com


Corporate life summed up:

-CEO celebrates the win
- Product Manager looks proud
and the Data Analyst quietly wonders if they'll even get "thank you"🥲

Relatable?)

@jasur_sharofiddinov


Yaxshi marketing))


Now looks good

Thanks for the gift @lazizjonblog🙌

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TBC UZ × payme.uz invites novice iOS and Android developers to a paid internship

What awaits interns:
📲 hands-on development experience
🧑🏻‍💻 work with mentors
👩🏻‍🎓 certificate and the opportunity to get an offer

Who can participate:
students of 3-4 courses and graduates of technical universities with specialized education

Internship format:
• duration — 3 months, starting in March 2025
• the schedule is from 10:00 to 19:00
• location — TBC Bank × payme office

Find out more and submit a request:
iOS developers https://lnkd.in/dimfJaBG
Android developers https://lnkd.in/d2dhpAQ4

©️Linkedin

@jasur_sharofiddinov


Data Analyst, Product Analyst va Business Analyst o‘rtasidagi farq bormi?

- Ha albatta!

Data Analyst:
Asosiy vazifalari: Katta hajmdagi ma'lumotlarni yig‘ish, tozalash, tahlil qilish yani trendlar, patternlar topadi va ularni vizualizatsiya qilish bn ham shug'ullanadi. Ma'lumotlar asosida kompaniya uchun data-driven qaror qilishga yordam beradi, A/B test natijalarini tahlil qilib, business uchun eng yaxshi yechimni berishga harakat qiladi
Texnologiyalar: SQL, Python/R(asosan Pandas, Numpy), Excel, Power BI yoki Tableau (visualization uchun)

Product Analyst :
Asosiy vazifalari: Mahsulotning ishlashi, user/customer behaviourlarni tahlil qiladi va bozordagi holatini tahlil qiladi. Foydalanuvchi ehtiyojlariga moslashtirish bo‘yicha tavsiyalar va mahsulot uchun strategiya tuzishda tahliliy yordam beradi
Texnologiyalar: Google Analytics/Mixpanel SQL, A/B testing vositalari, Tableau yoki Power BI (vizualizatsiya)

Business Analyst :
Asosiy vazifalari: Biznes jarayonlari tahlil qilib, samaradorlikni oshirish va muammolarni aniqlash bilan shug‘ullanadi. Yangi biznes imkoniyatlarini aniqlaydi
Texnologiyalar: Excel, SQL, Power BI, SAP, CRM tizimlari (biznes jarayonlarini boshqarish va tahlil qilish)


Qisqa qilib aytganda:

📊| Data Analyst – ma'lumotlar bilan ishlaydi va texnik jihatdan kuchliroq
📱| Product Analyst – mahsulotning muvaffaqiyati va user behaviour uchun e'tibor beradi ko'proq
💼| Business Analyst – biznes jarayonlarini tahlil qilib, strategik va operatsion samaradorlikni oshiradi

Sizga qaysi biri ko'proq qiziq?

Reference: link, video

Linklar orqali kirib ko'proq malumot olishingiz mumkin🙌

@jasur_sharofiddinov

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Job interview vs real job

©️Linkedin

@jasur_sharofiddinov


⚡️TBC Bank x Payme tomonidan bepul Data Analytics 2.0 dasturiga qabul boshlandi!

Data Analytics 2.0 dasturi 2025-yil fevral oyida start oladi va 4,5 oy, haftasiga 2 marta online tarzda davom etadi

Yaxshi tomoni yaxshi bitirganlarni ishga ham olib qolishadi, o'tgan yil misolida 11 nafar bitiruvchi ishga taklif qilingan

link: https://go.tbcbank.uz/4g7sqSZ

Savollar bo'lsa 🔽

@jasur_sharofiddinov

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Adashmasam yanvarni ohirida Payme/TBC da ham ochilishi rejalashtirilyabdi

Kim o'qimoqchi bo'lsa sql va pythonni basiclaridan tayyorlanib turishini maslahat beraman🙌🏻

*online o'rgansa bo'ladi

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payme dan repost
Video oldindan ko‘rish uchun mavjud emas
Telegram'da ko‘rish
Qayerda bir vaqtning o‘zida sport bilan shug‘ullanish, ishlash va quyosh botishini tomosha qilish mumkinligini bilasizmi? Albatta, TBC Bank x payme ofisida.

Yanada qiziqarli ma’lumotlar — videomizda. Uni albatta tomosha qiling!

Agar jamoamizga qo‘shilib, siz ham shu ajoyib ofisda ishlashni istasangiz, bo‘sh ish o‘rinlari haqidagi aktual Storislarimizga kiring.

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Office vibes

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Yaqinda the Statistics for Data Science and Business Analysis course ni tugatdim!

Asosiy o'rgangan narsalarim:

-Statistical measures: central tendency, asymmetry, and variability
-Confidence intervals and hypothesis testing
-Correlation, covariance, and distributions
-Regression analysis (including linear regression and dummy variables)

Data Science va Analytics sohasida ketmoqchi bo'lganlar uchun statistics eng asosiy qurollardan biri hisoblanadi

Course uchun: link

@jasur_sharofiddinov


Alright, alright

Not bad , isn't it🤷‍♂

@jasur_sharofiddinov

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Korzinkada intership ochilibdi : link

Data analyst/ ML internship

Kerak bo'lgan skillar asosan:
-SQL
-Python
-Power BI/Tableau
-Excel

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20 ta oxirgi post ko‘rsatilgan.