Hire the Best Data Scientists in Islamabad, PK

⭐⭐⭐ 𝐓𝐨𝐩-𝐑𝐚𝐭𝐞𝐝 𝐅𝐫𝐞𝐞𝐥𝐚𝐧𝐜𝐞𝐫 | 𝟓+ 𝐘𝐞𝐚𝐫𝐬 𝐨𝐟 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐢𝐧 𝑨𝑰 & 𝑫𝒂𝒕𝒂 𝑺𝒄𝒊𝒆𝒏𝒄𝒆 ⭐⭐⭐ Hi there! I’m 𝐈𝐦𝐚𝐚𝐝 𝐔𝐥𝐥𝐚𝐡, a 𝐒𝐞𝐧𝐢𝐨𝐫 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭 with a 𝐌𝐚𝐬𝐭𝐞𝐫’𝐬 𝐢𝐧 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 and 𝐨𝐯𝐞𝐫 𝟓 𝐲𝐞𝐚𝐫𝐬 of 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 delivering 𝐡𝐢𝐠𝐡-𝐢𝐦𝐩𝐚𝐜𝐭 𝐀𝐈 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬. I specialize in 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 (𝐍𝐋𝐏), 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧, 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞, helping businesses 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦 raw data to 𝐮𝐧𝐥𝐨𝐜𝐤 𝐚𝐜𝐭𝐢𝐨𝐧𝐚𝐛𝐥𝐞 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬 and 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐀𝐈-𝐝𝐫𝐢𝐯𝐞𝐧 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 and 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞 𝐜𝐨𝐦𝐩𝐥𝐞𝐱 𝐭𝐚𝐬𝐤𝐬 using 𝐀𝐈. ⦿ 🚀 𝑾𝒉𝒂𝒕 𝑰 𝑶𝒇𝒇𝒆𝒓? » 🤖 𝐄𝐧𝐝-𝐭𝐨-𝐄𝐧𝐝 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 ✅– From data preprocessing to deployment. » 🧠 𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐍𝐋𝐏 & 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 ✅– Chatbots, text analysis, image recognition, and more. » 📊 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 & 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 ✅– Turn raw data into business intelligence. » 🐍 𝐂𝐮𝐬𝐭𝐨𝐦 𝐏𝐲𝐭𝐡𝐨𝐧 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 ✅– Automated scripts, data pipelines, and AI integrations. » 📈 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 & 𝐃𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬 ✅– Present complex data clearly and thoughtfully. ⦿ 🛠 𝑲𝒆𝒚 𝑬𝒙𝒑𝒆𝒓𝒕𝒊𝒔𝒆: » 🤖 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐀𝐈: Predictive Modeling, Deep Learning, Regression, Classification, Time Series » 📝 𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 (𝐍𝐋𝐏) – Chatbots, Text Analysis, Sentiment Analysis, LLMs » 🖼️ 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 – Image Recognition and Classification, Object Detection, OCR » 📊 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 & 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 – Forecasting, Anamoly Detection, Data-Driven Decision Making, Business Intelligence » 🐍 𝐏𝐲𝐭𝐡𝐨𝐧 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 – Automation, API Development & Integration, Data Pipelines » 📈 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 & 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 – Matplotlib, Seaborn, Power BI & Tableau ⦿ 🛠 𝑻𝒆𝒄𝒉 𝑺𝒕𝒂𝒄𝒌 & 𝑻𝒐𝒐𝒍𝒔: » 🐍 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 – Python, R, C++ » 📦𝐌𝐋 & 𝐃𝐋 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: TensorFlow, Keras, Scikit-learn, OpenCV, PyTorch, NLTK » 🗄️ 𝐃𝐚𝐭𝐚 𝐌𝐚𝐧𝐢𝐩𝐮𝐥𝐚𝐭𝐢𝐨𝐧 & 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 – Pandas, NumPy, SciPy & SQL » 📊 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 – Matplotlib, Seaborn, Tableau, and PowerBI » 🖥️ 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭𝐬 – Jupyter Notebook, PyCharm, Spyder » ☁️ 𝐂𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 – AWS, Google Cloud, Flask, FastAPI ⦿ 💡 𝑾𝒉𝒚 𝑯𝒊𝒓𝒆 𝑴𝒆? » 🚀 𝐏𝐫𝐨𝐯𝐞𝐧 𝐓𝐫𝐚𝐜𝐤 𝐑𝐞𝐜𝐨𝐫𝐝: Successfully delivered ML and AI solutions across various industries. » 🎯 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬-𝐅𝐨𝐜𝐮𝐬𝐞𝐝 𝐀𝐈: I align AI/ML solutions with your business goals to maximize impact. » 💡 𝐂𝐮𝐭𝐭𝐢𝐧𝐠-𝐄𝐝𝐠𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: Skilled in Scikit-learn, TensorFlow, Keras, OpenCV, Pandas, NumPy, NLP libraries (NLTK, SpaCy), and more. » ⚡ 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 & 𝐑𝐞𝐥𝐢𝐚𝐛𝐥𝐞: I prioritize accuracy, efficiency, and timely delivery in every project. » 📞 𝐑𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧: Regular updates & well-documented code. 📩 𝑳𝒆𝒕'𝒔 𝑩𝒖𝒊𝒍𝒅 𝑺𝒐𝒎𝒆𝒕𝒉𝒊𝒏𝒈 𝑨𝒎𝒂𝒛𝒊𝒏𝒈! If you're looking for a dedicated, results-driven data scientist to help with your ML/AI projects, let’s connect! I’m excited to collaborate and bring data-driven innovation to your business. 📌 Click "𝑯𝒊𝒓𝒆" to get started!

I design and deploy AI systems that don’t just launch, they scale and perform reliably in production. With 50+ live deployments and 100% client satisfaction, I’ve built everything from intelligent AI solutions and Chatbot Development projects to advanced Computer Vision pipelines and predictive Machine Learning models. As an AWS Certified AI Engineer and Head of AI, I specialize in end-to-end AI architecture using Python, PyTorch, TensorFlow and modern cloud platforms like Amazon Web Services, Azure and DigitalOcean. My expertise spans AI Agent Development, Natural Language Processing, Retrieval Augmented Generation, Deep Learning, Data Science and advanced Data Analysis, delivering robust MVPs and fully production-ready AI platforms that drive real business impact. Notable Achievements: ✦ Reaktion: Developed an AI-powered chatbot using Machine Learning and NLP to deliver advanced Data Analytics and dynamic Data Visualization directly from database queries. Reduced manual reporting effort by 60%. ✦ Partfiniti: Automated BOM extraction from PDFs, emails, excel and images into structured JSON with part lookup and natural language generation, improved extraction accuracy to 92%. ✦ Finsight: FinTech forecasting platform on AWS (EC2, RDS, S3) with FastAPI, Streamlit and predictive ML models, improved forecasting accuracy by 28%. ✦ GIS Mineral Analytics: Built end-to-end ETL pipelines with PostGIS, kriging, KNN, IDW and anomaly detection to power predictive mineral mapping and dynamic heatmaps, reducing exploration risk by 28% and improving drill targeting accuracy by 35%. Areas of Expertise: ✦ Machine Learning: (scikit-learn, XGBoost, Time-Series Forecasting), Python (FastAPI, Streamlit) ✦ Gen AI: LLMs, NLP, RAG Pipelines, OpenAI, Llama, AI Agents, ChatGPT ✦ Audio and Speech AI: AI Voice Agents, STT, TTS, TensorFlow Audio Classification APIs ✦ Computer Vision: OCR, Object Detection, Segmentation, Emotion Detection, Image Recognition (OpenCV, Tesseract), Image Generation, Data Extraction ✦ Cloud-Native AI: AWS Lambda, EC2, RDS, S3, Azure AI, FastAPI, Streamlit, API integration, secure backend systems Why do clients love working with me? ✦ Successfully launched production-ready AI/ML systems with measurable business impact. ✦ Scalable, high-quality solutions powered by Generative AI and Machine Learning. ✦ Reliable long-term partner focused on clarity, performance and sustainable growth. ✦ Strong balance of deep technical expertise and real-world business outcomes across multiple industries. 💬 Feel free to reach out anytime! Let’s build the AI-powered success your business deserves and transform your ideas into production-ready impact!

I have a decade of hands-on experience in machine learning and Python backend development, and I have a strong informatics background (Ph.D. in Bioinformatics ). In addition to my Ph.D., I obtained several certificates from world-renowned institutions in data science, which helped me form sound hypotheses and clear conclusions combined with concise visualizations. I can help you build the whole ML pipeline from scratch or improve your solutions. I can handle various tasks, such as NLP, Time Series Analysis, Computer Vision, GANs, developing bots, deploying APIs for ML models, etc. Skills: - Languages: Python & R - Frameworks: PyTorch, TensorFlow, Keras, Flask - Libraries: LangChain, NumPy, Pandas, Scikit-Learn, Plotly, SciPy, NLTK, LightGBM, XGBoost - DB: MySQL, PostgreSQL, MongoDB - Version control: GIT - Other: Docker, Google Cloud, LLM, ChatGPT, LLaMA

Data Scientist | AI & ML Engineer | Data Analyst | Python | SQL | Power BI | LLM & RAG Hi, I'm Shahab 👋 Most businesses are sitting on data they're not using and drowning in manual work they shouldn't be touching. I build the machine learning models, AI applications and dashboards that fix both and I make sure they actually ship, not just sit in a notebook. Over the past 5+ years I've helped companies turn messy data and repetitive workflows into predictive models, LLM-powered tools, and BI dashboards their teams actually use to make decisions. 🔧 𝗪𝗵𝗮𝘁 𝗜 𝗰𝗮𝗻 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂 𝗯𝘂𝗶𝗹𝗱: - Data analysis & exploration, turning messy raw data into clear answers and insights - Statistical analysis & A/B testing, hypothesis testing, significance, and confidence behind your decisions - Data visualization & Power BI dashboards, reports non-technical stakeholders actually understand - Predictive & forecasting models, churn, demand, pricing, classification - AI assistants and chatbots powered by LLMs (OpenAI, Hugging Face) - RAG systems that let a model answer from YOUR documents and data - Power BI dashboards that turn raw data into clear, decision-ready reporting - Python automation that removes hours of manual work every week - End-to-end data pipelines cleaning, processing, deployment 🛠️ 𝗠𝘆 𝗧𝗼𝗼𝗹𝗸𝗶𝘁: - 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: Python, Pandas, NumPy, R, RStudio, SQL, Excel - 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝘀: SciPy, statsmodels, hypothesis testing, regression, A/B testing - 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Scikit-Learn, TensorFlow, PyTorch, XGBoost - 𝗟𝗟𝗠𝘀 & 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜: LangChain, RAG, Vector DBs, OpenAI, Hugging Face, AI Agents - 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 & 𝗕𝗜: Power BI, Plotly, Matplotlib, Seaborn - 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: FastAPI, REST APIs, Docker, AWS, Streamlit, Git/GitHub Whether it's a machine learning model, an AI chatbot, a RAG application, a Power BI dashboard, or an automation that buys back your week send me a message or invite me to your job. Tell me the problem you're trying to solve and I'll tell you the best way.

🏆 Data Scientist and Machine Learning Engineer 💼 2+ Years of Experience In Data Science | | Data Analysis | Machine Learning | Deep Learning | Time Series Modelling Hi, I am Jazib, and here are 🌟 The reasons for You to Hire me?🌟 ✔ Collaborate closely to understand the problem domain. ✔ Propose potential solutions based on our understanding. ✔ Refine the solution until it meets your satisfaction. ✔ Verify the product and results with your requirements. ✔ Offer unlimited revisions until you are happy! Now, let me tell you about myself. I'm a seasoned Data Scientist and a Machine Learning Engineer with a background in software engineering and I bring over 2.5 years of hands-on experience developing end-to-end machine learning projects using TensorFlow, PyTorch, and Scikit-Learn. Throughout my career, I've successfully delivered multiple projects for clients, garnering praise for my abilities to not only build Machine Learning models but also make them impactful by making them transparent and usable for the layman. My principles are to use my expertise in Machine and Deep Learning to create impactful and yet useful models that can be deployed easily as well. My portfolio includes a diverse range of Projects, including: 🌟Data Agnostic Financial Time Series Forecasting (FinForecastHub) - Making a product that automates the collection, cleaning, and preprocessing of a company's financial data, and trains an automated deep learning-based time-series forecasting model whose architecture is completely generic and data agnostic. 🌟Credit Worthiness in Microfinance Banks using Explainable AI - a research project aiming at using Explainable AI / Trustworthy ML to make models that can do credit scoring of loan applicants. The project uses multiple machine learning models including ensembling and tree models like XGBoost to classify loan applicants and then makes models transparent for lay-man like Bank Employees using Explainable AI tools like SHAP, so that bank employees can trust the process. 🌟Food Calorie Estimation Using OpenCV and YOLO - using Image Processing and Object Detection techniques to classify foods and then predicting calories in those foods. The project aims to help people fight obesity, and keep track of their calories. 🌟Deep Learning for Time Series Financial Forecasting - a platform where business analysts can upload the company's financial dataset and our state-of-the-art (SOTA) non-transformer based deep learning models like TinyTimeMixer (TTM) on the backend will be trained on runtime and provide accurate financial forecasts on user interface. The project aims to reduce latency and provide accurate results given dataset of any nature (small or big, clean or uncleaned, processed or unprocessed). Additionally, I believe in following the industry process of software development that includes collecting user stories/requirements, doing extensive design planning, and then using best coding practices to develop a simpler and appealing solution, I also believe that user feedback is the most important element of software development that makes you create a useful effective product. Now, as I've discussed my projects and experience, I want you to know that if you're looking for a talented Data Scientist and a Machine Learning Engineer who can transform your requirements into real end-to-end product then I'm the choice. Let's connect so that I can get to know what you want!

I help startups and executives ship production AI agent systems, multi-agent orchestration, RAG pipelines, and LLM automation with Claude Code, OpenClaw, Hermes, and n8n orchestration | 40+ projects | 100% Job Success. ✅ Top Rated Plus — Top 1% of AI Specialists & ML Engineers on Upwork ✅ Founder & CEO of TensorFold.ai | Lead AI Engineer at Origin Studios ✅ Published AI researcher (LLM reasoning & structured prompting) ✅ Working alongside senior engineers from NASA, Apple, Harvard & Warner Records WHAT I BUILD 🤖 OPENCLAW & CLAUDE AGENT EXTRACTION (12+ Projects) I build, optimise, and secure elite agentic environments. Most production setups bleed $100+/month because skills bloat tokens, secrets sit in markdown files, and memory drifts across sessions. I fix all three: - FRAMEWORK & MODELS**: Expert deployment of OpenClaw, NanoClaw, NemoClaw, and the Hermes Agent stack. - COST & TOKEN Optimisation: Hardened SKILL.md, compacted context windows, and vaulted credentials via OneCLI to slice monthly API costs by 40–70%. - OMNICHANNEL AGENT Routing: Seamlessly wiring autonomous agents across WhatsApp, Telegram, Discord, Slack, Signal, and iMessage. 📚 RAG & Knowledge Systems — multi-source RAG, hybrid search, knowledge graphs, document pipelines with Weaviate, Pinecone, Qdrant, FAISS, pgvector 🧠 LLM Engineering — GPT-4/5, Claude, Gemini, LLaMA, Mistral; fine-tuning with PEFT (LoRA, QLoRA), LLM evaluation, prompt optimisation, cost/latency tuning ⚙️ AI Automation & Backends — FastAPI production APIs (auth, streaming, logging), n8n and workflow automation, email/CRM/Slack integrations ☁️ Cloud & MLOps — GCP (Vertex AI, Cloud Run, BigQuery), Azure (AI Studio, Functions), Docker, CI/CD RECENT RESULTS 🎵 AI transformation for a major US record label — automated label management, A&R workflows, and executive communications end-to-end, turning a fully manual operation into an AI-first organisation. 🧑‍💼 Agentic AI "chief of staff" systems for two senior entertainment & investment executives — unified calendars, email, deal flow, and reporting into a single AI-powered command center running on autopilot. 🚗 End-to-end ETL + AI insights platform for the US automotive market — processing 6M+ records daily from 18,000 dealerships, taming extreme data noise and anomalies into decision-ready dashboards for dealership owners. 🚀 REVOPS 360 (idea → funded MVP) — built the entire GenAI layer for a B2B RevOps platform: lead-gen agents, campaign creators, pitch generators, and LinkedIn assistants with 20+ modular tools and LLM routing logic. Now entering VC phase. 🏆 Resume Matcher (NLP) — transformer-based candidate shortlisting that cut hiring time by 70%. HOW I WORK 1️⃣ Free scoping call → clear proposal with milestones and acceptance criteria 2️⃣ Sprint-based delivery with demos every cycle — you see progress, not promises 3️⃣ Production handoff: documentation, deployment, and post-launch support I respond within a few business hours (CET, overlap with US mornings), communicate in fluent English, and stick around after launch to improve what we ship. EXPERIENCE SNAPSHOT (5+ years) 🏢 Founder & CEO — TensorFold.ai (AI product & consulting company) 🤖 Lead AI Engineer — Origin Studios (agentic mesh systems & multi-agent orchestration for enterprise and entertainment clients) 🧠 ML Engineer — DFKI (German Research Center for Artificial Intelligence) 📊 Research Assistant — NYU Tandon School of Engineering (large-scale NLP on millions of Amazon products) 🌍 Generative AI Engineer — Eriko AI | ML Engineer — Ezy-AI | Consultant — Systems Limited 🏆 Top Rated Plus on Upwork since 2022 — 40+ projects, 100% client satisfaction 🎓 M.Sc. Computer Science (AI), RPTU Kaiserslautern-Landau, Germany 📄 Published researcher — LLM reasoning & structured prompting (large-scale experiments across multiple frontier models) Let's turn your AI idea into a working, revenue-driving product. 📬 Message me — I'll reply with a concrete plan, not a sales pitch.