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UCLA PhD (Mechanical Engineering) turned software engineer. On Upwork I delivered 16 projects with 100% Job Success and Top Rated status — machine learning models, time-series analysis and Python data pipelines for clients who needed research-grade rigour shipped as dependable, documented software. What clients consistently said (their words): committed to quality, clear communicator, reliable, detail oriented. I now work full time as co-founder & CEO of 9S Labs Ltd (UK), the company behind LtdRecord — an AI secretary for company records for UK limited companies.

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 help businesses turn raw data into revenue growth through machine learning, Power BI dashboards, forecasting, and AI automation. If you need a senior data scientist who can take a project from data collection to deployment, I can help. Full profile overview I help businesses turn raw data into revenue growth through machine learning, Power BI dashboards, forecasting, and AI automation. I’m a Senior Data Scientist with experience delivering end-to-end solutions for 200+ clients across analytics, business intelligence, and machine learning projects. My work is focused on one thing: helping companies make better decisions, automate repetitive work, and uncover opportunities hidden in their data. Clients usually hire me when they need one of three things: First, better visibility. I build dashboards and reporting systems in Power BI, Tableau, Excel, Looker Studio, and Google Analytics so teams can clearly track performance, marketing ROI, sales trends, customer behavior, and operational KPIs. Second, smarter prediction. I develop machine learning and deep learning solutions using Python, TensorFlow, PyTorch, and scikit-learn for forecasting, classification, recommendation systems, NLP, computer vision, and time-series analysis. Third, automation that saves time. I design data pipelines, scraping workflows, ETL systems, API integrations, and business automations using Python, SQL, Spark, Kafka, Selenium, Scrapy, and Zapier to reduce manual effort and improve decision speed. My experience includes: Power BI and Tableau dashboards, machine learning model development, NLP with transformer models, computer vision, predictive analytics, marketing and sales analytics, data scraping, ETL pipelines, and deployment workflows using Docker, Kubernetes, and MLflow. What you can expect when working with me: clear communication, a structured approach, clean and maintainable work, and solutions built around business outcomes instead of technical jargon. Whether you need a dashboard, an ML model, a forecasting system, a data pipeline, or an AI-powered workflow, I can help you move from raw data to practical results. If you have a project in mind, feel free to message me. I’m also happy to review your requirements and share relevant work samples before we begin.

AI Developer | Automation & Predictive Analytics I build AI systems that take repetitive work off your plate and turn your data into decisions you can act on. Over 5+ years I've automated workflows that ran for hours down to minutes, shipped computer-vision models north of 97.5% accuracy in production, and built specialized models that outperform frontier LLMs on-task at a tiny fraction of the compute. AUTOMATION I design pipelines and AI-driven workflows that replace manual, error-prone processes: LLM-powered document processing, data ingestion and ETL, RAG/MCP integrations, and agentic systems that handle the busywork. I've cut enough of it for clients to gain multiples worth of efficiency gains. PREDICTIVE ANALYTICS I build forecasting, classification, and risk/scoring models that turn historical data into reliable signal - with the feature engineering, evaluation, and monitoring to keep them accurate in production, not just in a notebook. I also handle the engineering around the models - infrastructure, security, and the supporting services that keep everything running in production. When a project calls for it, I work across NLP, computer vision, and custom model training/fine-tuning. SELECTED RESULTS - Automated document processing from hours to minutes with LLMs - 97.5%+ accuracy on production computer-vision inference - Fine-tuned a compact language model to more than 5x the on-task accuracy of a frontier LLM (GPT-5.5) while using thousands of times less compute CORE SKILLS - Predictive analytics & forecasting, machine learning, deep learning, LLMs, computer vision - Workflow & data automation, MLOps, custom model training, optimization & fine-tuning - Supervised, unsupervised (K-Means, HDBSCAN), and reinforcement learning (Stable-Baselines3) STACK - Languages: Python, SQL, Bash - ML/Data: scikit-learn, PyTorch, TensorFlow, XGBoost/LightGBM/CatBoost, pandas - Build & Deploy: FastAPI/Flask, Docker, Kubernetes, Git I care about modular, efficient systems that keep working long after handoff - not one-off scripts that break the moment requirements shift. If you've got a process worth automating or data worth predicting from, let's talk about moving your project forward.

I build real-time AI systems that detect threats, track objects, and turn video into actionable insights ready for real-world deployment. If you need a reliable Computer Vision solution (not just a demo), I can design, train, and deploy it end-to-end. 🎯 What I Do I specialize in building production-ready Computer Vision systems that work in real environments not just controlled demos. From surveillance and safety to traffic analytics and automation, I help businesses turn video data into practical, usable intelligence. 🔧 Solutions I Build ✔ Real-Time Object Detection (YOLOv8 / YOLO11) ✔ Multi-Object Tracking (ByteTrack, DeepSORT) ✔ Surveillance & Threat Detection Systems ✔ Fire & Smoke Detection ✔ PPE / Safety Compliance Monitoring ✔ Traffic Monitoring & Speed Estimation ✔ OCR & Document AI ✔ End-to-End AI Systems (Data → Training → Deployment) 🧠 Why Clients Choose Me Most freelancers stop at training a model. I go further — I build complete systems that actually work in production. ✔ Optimized for real-time performance (high FPS, low latency) ✔ Designed for real-world conditions (low light, fog, motion blur) ✔ Strong focus on data quality & annotation (where most projects fail) ✔ Clean, scalable, deployment-ready code 💡 Most Computer Vision models fail outside the lab — I make sure yours doesn’t. 📊 Selected Projects 🔫 Real-Time Weapon Detection & Tracking AI-powered surveillance system for detecting and tracking firearms in live video streams → Helps improve security response time and monitoring 🔥 Real-Time Fire & Smoke Detection (107 FPS) Early hazard detection system designed for fast response in critical environments → Detects fire/smoke in real-time to reduce risk and damage 🦺 Construction Safety Monitoring (PPE Detection) Helmet detection system with live violation alerts → Improves worker safety and compliance on-site 🚗 Vehicle Speed Estimation System Tracking-based system for real-time speed analysis from video → Useful for traffic monitoring and smart city solutions ⚙️ Tech Stack AI / Deep Learning: PyTorch, YOLO (v8, v11), TensorFlow Computer Vision: OpenCV, real-time video processing pipelines Tracking: ByteTrack, DeepSORT Deployment: FastAPI, Flask, Docker, GPU acceleration Language: Python 🎬 What You Can Expect ✔ Demo available before starting ✔ Clean, well-documented code ✔ Fast communication & regular updates ✔ Scalable solutions ready for deployment ✔ Support with real-world challenges (lighting, motion, noise) 💡 How I Work I follow a complete pipeline: Data Collection → Annotation → Training → Optimization → Deployment You don’t just get a model you get a working system ready to use. 📩 Let’s Build Something Real Have an idea or project in mind? 👉 Send me a message I’ll break down the best approach and can even share a quick demo or plan before you commit.

With extensive experience in data analysis, forecasting, and predictive modeling, I specialize in transforming raw data into clear insights, actionable strategies, and high-value analytical tools. I have worked across financial markets, business analytics, and operational intelligence, helping organizations make smarter decisions through automation, modeling, and advanced analytics. My professional journey includes roles as a Market & Risk Analyst at the Capital Market Authority , a Data Scientist at a global B2B distribution leader, and a Quantitative Analyst at one of the world's largest industrial groups — where I developed forecasting models, anomaly detection systems, real-time dashboards, and predictive tools used by decision-makers daily. I have collaborated with clients across startups, SMEs, and large international companies, delivering analytics solutions that drive efficiency, predict trends, and uncover hidden opportunities. What Sets Me Apart ✦ Predictive Modeling Expertise: I build robust forecasting systems using machine learning, regression models, time-series analysis, and advanced statistical techniques to deliver reliable insights and future projections. ✦ High-Quality Dashboards & Reporting: I create dynamic dashboards and executive-level reports that turn complex data into intuitive visual stories, enabling teams to track KPIs and take action quickly. ✦ End-to-End Analytical Solutions: I build end-to-end data pipelines, from extraction to visualization, working with technologies like Spark, Python, SQL, and Power BI. My role is to automate data flows, structure analytical models, and deploy reliable, scalable dashboards — helping companies reduce manual tasks and accelerate decision-making. ✦ Financial & Market Intelligence: Hands-on experience analyzing trading activity, market behavior, transactions, and equity markets at a national capital markets regulator. I've implemented anomaly detection models, market surveillance systems, and forecasting tools for financial performance. Why Work with Me ✦ Proven experience across capital markets regulation, global distribution, retail , and industrial operations. ✦ Ability to simplify complex concepts and deliver results quickly with full accuracy ✦ Strong technical stack: Python, Power BI, SQL, Excel, TensorFlow, scikit-learn, Azure Synapse, Databricks, Apache Spark ✦ Experience building scalable solutions: real-time surveillance, automated reporting, predictive alerts, and operational dashboards Services I Provide ✦ Forecasting & predictive modeling (regression, ML, time-series) ✦ Custom dashboards (Power BI, Excel, web-based) ✦ Financial analysis, modeling & reporting ✦ Data cleaning, automation, and ETL workflows ✦ Anomaly detection & market surveillance models ✦ Machine learning development (TensorFlow, scikit-learn) ✦ Business intelligence & data storytelling ✦ Consulting for data-driven strategy and performance improvement With a strong engineering and data science background, my mission is to help organizations unlock value from their data, improve performance, and move from intuition to evidence-based decisions. Let's work together to build intelligent models, clear insights, and analytics tools that elevate your business. Message me today — I'd be happy to help you succeed.