You will get 10,000 Tickets Classified in 20 Minutes I Find the Patterns You're Missing
Rising Talent
Rising Talent
Project details
This is not a one-time ChatGPT paste. I build a processing pipeline that runs on your data — today, next week, next month. New tickets come in, pipeline classifies them automatically. Same rules, same categories, zero manual work.
10,000 items in 20 minutes. Every one classified, flagged, summarized. You get structured output — not a wall of text.
What you get:
→ A reusable pipeline — not a one-off analysis
→ Automatic classification into your categories
→ Risk flags, severity, urgency per item
→ Runs on new data as it comes in
Works with: support tickets, CRM notes, call transcripts, customer emails, chat messages.
Last build: 80K+ texts across 4 systems. Found 2,400+ complaints and 90+ at-risk accounts nobody had flagged. Pipeline still runs daily.
→ Export a sample (100-500 items) and message me what you're looking for. I'll show you what the pipeline can find.
10,000 items in 20 minutes. Every one classified, flagged, summarized. You get structured output — not a wall of text.
What you get:
→ A reusable pipeline — not a one-off analysis
→ Automatic classification into your categories
→ Risk flags, severity, urgency per item
→ Runs on new data as it comes in
Works with: support tickets, CRM notes, call transcripts, customer emails, chat messages.
Last build: 80K+ texts across 4 systems. Found 2,400+ complaints and 90+ at-risk accounts nobody had flagged. Pipeline still runs daily.
→ Export a sample (100-500 items) and message me what you're looking for. I'll show you what the pipeline can find.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$2,000
|
Standard
$5,000
|
Advanced
$10,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 1 | 2 | 2 |
Optional add-ons
You can add these on the next page.
Call transcription from audio
(+ 3 Days)
+$500
OCR — clean typed PDFs
(+ 2 Days)
+$500
Invoice/bank statement reconciliation
(+ 7 Days)
+$1,000Frequently asked questions
1 review
(1)
(0)
(0)
(0)
(0)
This project doesn't have any reviews.
CD
Charles D.
Jun 19, 2026
AI transformation for the fundamental business
Alex did an amazing job at Eltex. The idea was for him to help us with the development of some AI tools but he ended up taking complete ownership of the AI infrastructure. Highly recommended.
About Aleksandr
Scattered Data into One System | Python & SQL Pipelines, Dashboards
Barcelona, Spain - 6:10 pm local time
Nothing changes for your team. They keep using their tools. You get visibility you never had.
𝗪𝗛𝗔𝗧 𝗜 𝗕𝗨𝗜𝗟𝗗
→ One structured system from many sources: CRMs, ERPs, accounting tools, spreadsheets, project trackers, emails, call recordings, payment data, ad platforms — I merge it all into a single database. No more checking six places to find one answer.
→ Dashboards from raw chaos: I build exactly what you need to see — from raw, messy data that nobody else wants to touch. Not templates. Custom.
→ Automation that kills manual work: Data entry, weekly reports, status updates, reconciliation — if a human is doing it repeatedly, I replace it with code.
→ Patterns from unstructured data: 800 call recordings, thousands of customer messages, piles of documents — I process them at scale and extract what matters: risks, weak spots, action items.
𝗥𝗘𝗦𝗨𝗟𝗧𝗦
→ Lead response time: 10h → 2h. Conversion up 4 points. Lost leads down 80%.
→ Processing time down 40%. Single-person bottleneck eliminated. Margin up 8%.
→ Order processing 70% faster. Payment visibility: zero → complete.
→ Weekly reporting: from half a day of manual work → runs automatically.
→ 1.3M EUR in churn risk found by processing 800 calls nobody had time to review.
𝗛𝗢𝗪 𝗜 𝗪𝗢𝗥𝗞
Async. You record a Loom, send a voice note, dump a folder of data — whatever is easiest for you. I take it from there.
No workshops. No training sessions. No weekly standups. I don't need to sit in on your meetings. I need access to your data and a way to ask questions when something is unclear. That's it.
I build with Python, SQL, and modern tools. Not off-the-shelf platforms — custom systems shaped to your exact mess. Everything I deliver is yours, documented, and works without me.
𝗕𝗔𝗖𝗞𝗚𝗥𝗢𝗨𝗡𝗗
10+ years turning raw data into working systems:
→ Badoo (London) — performance marketing at scale, predictive models, Python, SQL
→ MY.GAMES — analytics lead, BI systems, financial modeling
→ IZDAT Venture Studio (Barcelona) — data-driven go-to-market
I've built data systems for companies with millions of users. Now I build the same for growing businesses drowning in disconnected information.
Barcelona. Global clients — US, Europe, anywhere. Async-first. English and Russian.
𝗡𝗘𝗫𝗧 𝗦𝗧𝗘𝗣
Describe your mess. Send me data exports, screenshots, recordings — whatever shows the problem. I'll tell you what I can build, how fast, and what it costs. No call needed.
Steps for completing your project
After purchasing the project, send requirements so Aleksandr can start the project.
Delivery time starts when Aleksandr receives requirements from you.
Aleksandr works on your project following the steps below.
Revisions may occur after the delivery date.
Review sample data
I review a sample (100-500 items), define categories, and confirm the approach with you before processing everything.
Build classification pipeline
I build the processing pipeline — classification, risk flags, sentiment, severity — tailored to your categories.