Hire the Best ClickHouse Professionals

Your model is only as smart as the person labeling its data! Bad training data is the #1 reason ML projects miss the accuracy targets. Mislabeled frames and skipped edge cases compound into models that fail on real-world inputs. I am Iqra and I treat your annotation guidelines as a contract. My passion for AI is reflected in my role as a Data Annotation Specialist with hands-on CVAT experience labeling images and video for computer vision models. I deliver pixel-accurate bounding boxes, polygons, and segmentation masks that train production-ready AI not "good enough" data that breaks your model in deployment. ✅ WHAT I ANNOTATE IMAGE ANNOTATION — Bounding boxes, polygons & polylines — Semantic & instance segmentation — Object detection & classification labeling — Landmark & keypoint annotation — Image tagging and categorization TEXT ANNOTATION — Named entity recognition (NER) — Sentiment analysis & intent labeling — Text classification & topic tagging AUDIO & VIDEO ANNOTATION — Transcription and speaker diarization — Audio event tagging & classification — Subtitle alignment and timestampin ✅ Tools I work with daily: CVAT • LabelBox • Label Studio • Roboflow • SuperAnnotate • V7 Labs • Amazon SageMaker Ground Truth • Encord ✅Who I work best with: — ML/AI startups building computer vision or NLP products — Companies running ongoing annotation pipelines who need a reliable long-term labeler — Teams doing RLHF or LLM evaluation work ✅How I work: — I start every project by reviewing your guidelines and annotating a small test batch (20-50 items) so you can verify quality before scaling — I document edge cases as I find them and ask clarifying questions in batches — not one-by-one interruptions → I deliver in your preferred format with a short QA summary noting any uncertain labels for your review — I'm available 30+ hours/week and respond to messages within a few hours during my workday. ✅What you actually get when you hire me: — 98%+ annotation accuracy verified through QA review cycles — Edge cases flagged and discussed — not silently guessed at — Consistent labeling logic across large datasets — Fast turnaround on bulk work without quality drop-off in the last 10% Send me your annotation guidelines and a sample batch — I'll return a labeled test set within 24 hours so you can verify accuracy before committing to a larger contract. Looking forward to helping you build training data your model can actually learn from. Iqra Akram

I'm Reliable Advanced Data Entry & Data Collection Specialist, with solid experience in B2B Lead Generation & Data Researcher, and AI Data annotation & Labeling Expert... Over the past 2+ years, I helped businesses and built prospect lists across multiple industries, managed data entry and CRM workflows for real estate and e-commerce clients, and worked hands-on with CVAT and Roboflow on AI annotation projects. I move between structured data (spreadsheets, CRM records, product listings) and unstructured data (web research, image labeling, PDF extraction) without losing accuracy or speed. ✅ 𝗠𝘆 𝗦𝗸𝗶𝗹𝗹𝘀 𝗮𝗻𝗱 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: 👉🏼 Data Research & Lead Generation 👉🏼 Data Entry 👉🏼 Data Collection 👉🏼 Data Mining 👉🏼 AI Data Research & Verification 👉🏼 Data Extraction 👉🏼 LinkedIn Lead Research 👉🏼 Prospect List Development 👉🏼 Email & Phone Finding 👉🏼 LinkedIn & Email Outreach 👉🏼 CRM Management (Salesforce, HubSpot, Zoho, Pipedrive, GHL) 👉🏼 Data Annotation & AI/ML Data Prep 👉🏼 Data Annotation 👉🏼 Image Labeling 👉🏼 CVAT 👉🏼 Roboflow 👉🏼 AI/ML Ready Data Preparation 👉🏼 General & Admin Support 👉🏼 Microsoft Office & Excel 👉🏼 PDF Conversion 👉🏼 Web Research 👉🏼 E-commerce Product Listing 👉🏼 Real Estate Data Entry & Property Listings Let's talk about your project and how I can help. Just send me a message or invite me. I usually respond within minutes. Cheers, Muaaz

I am a tech-agnostic data engineer who enjoys solving complex data problems, finding patterns in messy datasets, and making sure the work actually supports the business. My focus is always on clean architecture, performance, and making data useful - not just moving it around.Here is what I have worked with: - Programming & Scripting: Python (Flask, FastAPI, Django, Selenium, PySpark), SQL - Data Engineering & Integration: Talend, Mage.ai, Apache Airflow, Airbyte, Databricks, Kafka, Debezium - Databases & Data Warehousing: Data Modeling, PostgreSQL, MySQL, Snowflake, Greenplum, MongoDB, Firebase, ClickHouse - Cloud & DevOps: AWS (Lambda, API Gateway, S3, RDS, SQS and more), Docker, Kubernetes, Azure DevOps, Terraform, CloudFormation - Security & Compliance: Secure and compliant pipeline design (HIPAA, GDPR, SOC 2), data governance, privacy-first architectures - Testing & Automation: Postman, Cypress.io, Swagger, Automated Data Workflows - Data Visualization: Power BI, Metabase, Google Data Studio, Grafana - Collaboration & Leadership: Cross-functional team mentoring, process optimization, data-driven decision-making

Disorganized data costs you time. Bad training data costs you everything...! Hi, I'm Anam, based in Ohio, USA. And I fix both. A Data Entry and Annotation Specialist with 4+ years of experience helping businesses stay organized and AI teams build cleaner, more reliable datasets. Whether you need your spreadsheets cleaned up, your CRM updated, or your image datasets labeled for machine learning, you GOT it ✅ DATA ENTRY SPECIALIST DATA MANAGEMENT Data entry into Excel, Google Sheets, Airtable & CRMs Data cleaning, deduplication, validation & formatting PDF to Excel/Word conversion & bulk uploads Spreadsheet formulas, pivot tables & conditional formatting E-COMMERCE DATA ENTRY Product listing on Shopify, Amazon, eBay, Etsy & WooCommerce Bulk product uploads, title & description formatting CRM DATA ENTRY & MANAGEMENT HubSpot | Zoho | Salesforce | Pipedrive | GoHighLevel Contact management, pipeline updates & data segmentation Zapier integrations & basic automation setup Real Estate Data Entry WEB RESEARCH & LEAD GENERATION B2B/B2C lead list building & verified contact collection LinkedIn research & email list building (Hunter, Apollo) Market, product & competitor research ✅ DATA ANNOTATION & AI TRAINING IMAGE ANNOTATION Bounding boxes, polygons & polylines Semantic & instance segmentation Object detection, classification & keypoint labeling TEXT ANNOTATION Named entity recognition (NER) & sentiment labeling Intent classification & NLP dataset preparation Text tagging & categorization AUDIO & VIDEO ANNOTATION Transcription & speaker diarization Audio event tagging & classification Video frame-level object labeling TOOLS CVAT | Labelbox | Roboflow ✅ WHY CLIENTS KEEP COMING BACK High accuracy on both high-volume and detail-heavy tasks I follow guidelines closely and flag edge cases before they become problems Responsive, reliable, and easy to work with across time zones I treat your data well, whether it's a CRM or a training dataset, Cause it matters If your data is messy, incomplete, or holding your business back, let's fix that. Send me a message, and I'll respond.

I build the clean, reliable data layer your team — and your AI tools — actually trust. From marketing, finance & CRM warehouses in BigQuery to real-time pipelines running at 200k+ events/sec, I've spent 15 years making data fast, accurate, and cost-effective. Most "data problems" aren't really about tools — they're about numbers finance can't trace, dashboards that silently break, and cloud bills that climb faster than the data does. I fix the layer underneath so the whole thing just runs — and often cut the bill while doing it. ⎯⎯⎯ What I do for you ⎯⎯⎯ ◆ Modern Warehouses in BigQuery (dbt + Medallion) — Unified, documented, AI-ready data from ad platforms (Meta, Google, TikTok), CRMs, and ERPs. For enhanza I consolidated financial data from 1,000+ organizations into one BigQuery platform with self-serve dashboards. ◆ AI-Ready & LLM Pipelines — Data modeled so your AI tools consume it directly: LLM enrichment/categorization, clean context windows, no manual prep. Shipped code-first with Claude Code + gcloud — no hand-written SQL in the console. ◆ Cut Your Cloud Bill (FinOps) — Runaway AWS costs are usually egress fees and over-priced managed services, not the data itself. I migrated a client's Dagster pipelines from AWS to Civo Kubernetes + Cloudflare R2 — eliminating S3 egress fees and slashing managed-cluster costs, with no orchestration rewrite. If your bill is climbing, I'll audit it and re-architect the expensive parts. ◆ Real-Time & High-Scale (when you need it) — Streaming in Flink/Kafka and sub-second OLAP in ClickHouse/StarRocks. I've run 200k+ ingest events/sec in an air-gapped cluster — so a standard pipeline is routine for me. ◆ Reliability & Observability — Monitoring, lineage, and schema-drift alerts so dashboards stop breaking. On one platform this cut data downtime by ~90%. ⎯⎯⎯ How I work ⎯⎯⎯ ▹ Root-cause, not patches. I fix the layer underneath so the same dashboard doesn't break again next month. Quick patches are how data platforms rot. ▹ Built to run without me. No "works once on my laptop" scripts — proper deployment, secrets, logging, alerts, and infrastructure as code (Terraform). Reproducible, and yours to keep. ▹ Straight about what I know. If something's outside my wheelhouse, I say so up front and give you the honest trade-off. I won't learn on your budget and call it experience. ▹ I own the outcome. Give me the goal and I'll work through the ambiguity and keep you posted — no micromanagement needed. ▹ A full team behind me. I run with a ~20-person team across data engineering, BI, DevOps, and AI/ML — so you're never betting on one person's calendar or blind spots. You work with me directly, and I pull in the right specialist when the scope calls for it. Senior ownership, agency depth. ⎯⎯⎯ Tech I work in daily ⎯⎯⎯ ▹ Warehouse & Analytics: BigQuery, dbt, dlt, Meltano, Medallion Architecture, Power BI, Looker Studio, Metabase ▹ Cloud & Orchestration: GCP, AWS, Azure, Civo, Airflow, Prefect, Dagster, Kubernetes, Terraform ▹ Streaming & Performance: Kafka, Flink, Spark/PySpark, ClickHouse, StarRocks, Iceberg, Delta, Polars, Cloudflare R2 ▹ AI-first delivery: Claude Code + gcloud/CLI, LLM enrichment pipelines ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ I don't just "install tools" — I design for compute cost (FinOps) and data reliability. If your cloud bill is climbing or your reporting can't be trusted, I'll audit the stack and tell you exactly what to fix. Want a quick, no-pressure look at your setup? Send me a message and I'll share where I'd start.

Data Annotation Specialist | Image, Video & Audio Labeling I provide accurate, consistent data annotation for machine learning projects. You get clean, well-structured datasets ready for training and evaluation. I work with images, videos, and audio across different domains. I follow strict labeling guidelines and deliver on time. 🚀 Experience - I have supported projects that required: - Image annotation for object detection and classification - Video annotation with bounding boxes and tracking - Keypoint labeling for pose and object parts - OCR text transcription and region labeling - Audio transcription and tagging I understand how high-quality data improves model accuracy. 📌 Annotation Types - Bounding boxes - Polygons and segmentation masks - Keypoints and landmarks - Classification labels - Object tracking across frames - OCR text labeling Audio transcription and labeling ⚙️ Tools - CVAT - LabelImg - LabelMe - Roboflow - Supervisely - Custom annotation tools if needed 💡 How I Work - Follow your labeling guidelines carefully - Double-check annotations for consistency - Maintain naming and folder structure - Communicate clearly and respond fast - Deliver clean datasets ready for training You get reliable, scalable annotation support for your ML pipeline. Send your sample task or guidelines. I will start quickly and deliver fast.