I am a passionate data Scientist and Machine Learning enthusiast. I can help you in the following things. * I have experience in Data cleaning, Data Labeling, Data Manipulation * Training and fine-tuning Machine Leaning Models * Python programing * Deep Learning * Problem solving

I have B.Sc. Chemistry and Biochemistry from the University of Zimbabwe and M.Sc. Chemistry from the University of Siegen in Germany. I offer consultancy services in chemical synthesis, analysis and research. I hold membership with the American Chemical Society. My working experience is in education, detergents and paint manufacturing industries. I also have non-chemistry skills which include statistical data analysis, freight-forwarding, Excel, Python, Power BI, research proposals, presentations, sales and marketing. I have a total of 16 years working experience. I am also a tutor for university and high school students and subjects taught include maths, physics, chemistry, biology, physical science and combined science. University courses taught include Inorganic Chemistry, Bioinorganic Chemistry, Solid State Chemistry, Organic Chemistry, Biochemistry, Pharmacology, Immunology, Cell and Molecular Biology, Chemical Pathology, Microbiology, Haematology, Genetics and Human Physiology and Disease. I have written textbooks and I write and edit research projects.

Dedicated and results-driven data scientist with a proven track record of transforming complex datasets into actionable insights that drive business decision-making. My expertise includes: ✅ Data Analysis & Visualization: Advanced proficiency in Python and R for data analysis, with hands-on experience creating impactful visualizations using Power BI, Google Data Studio, and Matplotlib. ✅ ETL & Back-End Systems: Skilled in designing and implementing efficient ETL processes in Python, and integrating them with databases such as MySQL and PostgreSQL to improve workflows. ✅ Business Intelligence: Experienced in leveraging real-time data to uncover trends, monitor KPIs, and deliver insights that align with strategic business objectives. ✅ Machine Learning: Proficient in developing and deploying machine learning models using PyTorch and Sklearn for predictive analytics, classification, and clustering to solve complex business problems. Whether you need to analyze large datasets, automate workflows, or create visually compelling dashboards, I’m here to help. Let’s collaborate to transform your data into measurable success for your business.

AI trainer and evaluator specializing in multimodal model alignment, RLHF, and rubric-based evaluation for large language models. Experienced with diverse workflows, including ranking responses, assessing safety and policy compliance, and providing structured feedback to refine model behavior. Domain-qualified in Biology and Chemistry through expert screening programs, ensuring scientific accuracy and clear explanations. Comfortable following detailed guidelines, handling complex prompts, and delivering consistent, high-quality annotations. A dynamic Data Scientist and Machine Learning Engineer with specialization in Geographic Information Systems (GIS), Google, and IBM certified in data analytics and prompt engineering. Skilled research paper writer and reviewer, turning complex, geospatially rich datasets into robust models, visualizations, and actionable, data-driven strategies.

Hi, I’m Montaha, a Data Scientist, Software Developer, and AI Engineer passionate about building intelligent, data-driven solutions with real-world impact. I specialize in Machine Learning, Deep Learning, and Python development, covering the full pipeline from data collection, cleaning, feature engineering, and modeling to deployment and reporting. I have experience developing robust ML models, neural networks, and AI pipelines, as well as performing web scraping, automation, and business intelligence using tools like Jupyter Notebook and Power BI. On the software side, I’ve worked on front-end and application development using Flutter (Dart), JavaFX, Angular, Symfony, and Spring Boot, and contributed to award-winning projects and fast-growing startups, including a Paris-based company ( Wapply) where I helped significantly improve product delivery in a short time. I also bring strong UI/UX design skills (Figma), professional documentation and reporting with LaTeX, and experience working in Agile/Scrum environments. I’m highly analytical, detail-oriented, and committed to delivering scalable, high-quality AI and software solutions tailored to client needs.

Data Scientist | Software Developer Data Scientist & Software Developer splitting my time between living in Texas and SG (UTC +8). I build production-ready data systems and ML infrastructure that teams can interpret, maintain, and lean on. My work sits at the intersection of machine learning, cloud infrastructure, and agent-driven automation. Whether it's a predictive model, a multi-stage data pipeline, or an AI-powered orchestration system, I build things that are clean, documented, and designed to last. Not just to demo well. I am still building a reputation here on UpWork regardless of my extensive work history, so I am happy to do basic cleaning on datasets or excel sheets as it is something I have done thousands of times. I can typically reduce reporting time by 30% by automating Excel dashboards for weekly sales tracking or other datasets. What makes my work different: I treat documentation and structured context as part of the deliverable, not an afterthought. Every project I ship has a clear paper trail at every stage, so whether it's a teammate, a client, or an AI agent picking it up next, the handoff is smooth and the logic is readable. My current clients are as follows (Part-Time): More Streams: Rebuilding full infrastructure for a music industry platform that was botched by vibe coding. It serves 50+ clients: full-stack campaign tooling, Cloudflare serverless database, Stripe and Spotify API integrations, and 11 -Claude Code automation plugins that eliminated ~40 hours of manual work per week. Wildwood Development: Building predictive models to forecast construction costs and support capital development decisions from quarterly data. Stack: - Infrastructure: Python, SQL, AWS, GCP, Terraform - ML/AI: Scikit-Learn, TensorFlow, PyTorch - Orchestration: Claude Code, multi-agent pipeline design I'm available for contract engagements.

As a developer with 10+ years of experience in software development, I help businesses harness the power of AI, Data Science, and Intelligent Automation to streamline operations, enable smarter decision-making, and accelerate growth. With expertise in machine learning, data engineering, and automation system integration, I design end-to-end solutions that reduce manual work, improve accuracy, and create scalable efficiencies. Whether you need a custom AI model, a data pipeline, or workflow automation, I bring proven experience in connecting cutting-edge technologies with real-world business impact. My focus is always on delivering practical, reliable, and production-ready systems aligned with your goals. -------------------------------------------------------------------------------------------------------- 💪 My Core Strengths 🔹Artificial Intelligence & Machine Learning • Predictive modeling & forecasting • Natural Language Processing (NLP) & Generative AI (ChatGPT, LLMs) • Computer Vision & image recognition solutions • Model deployment & optimization 🔹Data Science & Analytics • Data cleaning, preprocessing & wrangling • Exploratory data analysis & visualization (Python, SQL, Power BI, Tableau) • Statistical analysis & business insights • Big data handling (Pandas, Spark, cloud data warehouses) 🔹Automation & System Integration • Workflow automation with Zapier, Make (Integromat), n8n, Airflow • Robotic Process Automation (RPA) with UiPath, Power Automate • API integration & custom connectors • End-to-end automation for CRM, ERP, eCommerce, and reporting systems 🔹Tech Stack & Tools • Languages & Frameworks: Python, JavaScript, SQL, TensorFlow, PyTorch, Scikit-learn • AI Integration Frameworks: Django, Flask, Replicate • Data & Cloud: AWS, GCP, Azure, BigQuery, Snowflake • Automation Platforms: Zapier, Make, n8n, UiPath, Power Automate • Visualization: Power BI, Tableau, Matplotlib, Plotly • Databases: MySQL, PostgreSQL, MongoDB • Other: Docker, Git, REST APIs -------------------------------------------------------------------------------------------------------- ✅ Why Clients Choose Me • Proven experience in AI-driven and automation-powered solutions across industries • Ability to translate technical complexity into clear business value • Focus on scalability, reliability, and clean execution • Strong communication, documentation, and ongoing support -------------------------------------------------------------------------------------------------------- 🚀 Let’s Work Together If you’re looking to: ✔ Automate repetitive workflows ✔ Unlock insights from your data ✔ Build intelligent AI-powered applications ✔ Streamline your business processes with modern integrations …I’m here to help turn those ideas into results. 💬 Let’s discuss how I can bring value to your project!

I am a highly motivated and self-driven professional with a proven track record of delivering results through innovative problem-solving and collaboration. My passion for continuous learning and my willingness to take on new challenges have enabled me to excel in dynamic, fast-paced environments. As a team player, I am always ready to assist others and foster a culture of shared success. 𝐀𝐭 𝐚 𝐍𝐁𝐅𝐂, 𝐈 𝐥𝐞𝐝 𝐢𝐦𝐩𝐚𝐜𝐭𝐟𝐮𝐥 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐭𝐡𝐚𝐭 𝐬𝐢𝐠𝐧𝐢𝐟𝐢𝐜𝐚𝐧𝐭𝐥𝐲 𝐫𝐞𝐝𝐮𝐜𝐞𝐝 𝐝𝐞𝐥𝐢𝐧𝐪𝐮𝐞𝐧𝐜𝐲 𝐫𝐚𝐭𝐞𝐬 𝐚𝐧𝐝 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐯𝐚𝐫𝐢𝐨𝐮𝐬 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐞𝐬, 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐢𝐧𝐠 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬 𝐚𝐧𝐝 𝐞𝐧𝐡𝐚𝐧𝐜𝐢𝐧𝐠 𝐫𝐢𝐬𝐤 𝐦𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭. 𝐖𝐢𝐭𝐡 𝐞𝐱𝐭𝐞𝐧𝐬𝐢𝐯𝐞 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐢𝐧 𝐝𝐚𝐭𝐚 𝐬𝐜𝐢𝐞𝐧𝐜𝐞, 𝐈 𝐬𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐞 𝐢𝐧 𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 (𝐍𝐋𝐏), 𝐧𝐞𝐮𝐫𝐚𝐥 𝐧𝐞𝐭𝐰𝐨𝐫𝐤𝐬 (𝐍𝐍), 𝐫𝐚𝐧𝐝𝐨𝐦 𝐟𝐨𝐫𝐞𝐬𝐭𝐬 (𝐑𝐅), 𝐀𝐖𝐒, 𝐚𝐧𝐝 𝐏𝐲𝐭𝐡𝐨𝐧.I am deeply passionate about leveraging machine learning, artificial intelligence, and data science to drive efficiency, innovation, and data-driven decision-making. In addition to my expertise in data science, I also have hands-on experience in robotics, having participated in Robocon 2023 with Team Falcon. My diverse skill set and proactive approach make me well-suited to tackle complex problems and deliver high-quality solutions that align with business goals. Ready to revolutionize your project with advanced data science, AI solutions, and cutting-edge machine learning models?🤝𝐋𝐞𝐭’𝐬 𝐜𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐞 𝐭𝐨 𝐮𝐧𝐥𝐨𝐜𝐤 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲, 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧, 𝐚𝐧𝐝 𝐬𝐮𝐜𝐜𝐞𝐬𝐬. 𝐇𝐢𝐫𝐞 𝐦𝐞 𝐭𝐨𝐝𝐚𝐲 𝐚𝐧𝐝 𝐥𝐞𝐭’𝐬 𝐛𝐫𝐢𝐧𝐠 𝐲𝐨𝐮𝐫 𝐯𝐢𝐬𝐢𝐨𝐧 𝐭𝐨 𝐥𝐢𝐟𝐞!"

I help AI security platforms and MLOps tools create technical content that engineers trust, executives approve, and validate content quality before publication, so it doesn't damage credibility. **BACKGROUND:** PhD in Intelligent Control and AI (50+ publications, 382 citations, h-index 12), Expert-Vetted freelancer (Top 1%), $100K+ earned on Upwork, 70+ completed projects. **WHAT I DELIVER:** → Original AI Security Writing (1000+ published - Knostic) - White papers (5,000-8,000 words): Threat models, compliance frameworks, implementation roadmaps - Technical analysis blogs (2,000-3,000 words): Agent security, coding assistant threats, data leakage, prompt injection - Buyer guides: Security tool evaluation, framework comparisons (NIST AI RMF, ISO 27001/42001) - Case studies: Enterprise implementations with technical depth + business outcomes Examples from Knostic blog: - "AI Coding Agent Security: Threat Models and Protection Strategies" - "Building an AI Data Security Strategy From Scratch" - "Top Vibe Coding Security Risks and How to Fix Them" → ML/LLM Evaluation Content (250+ reviewed - Deepchecks) - Technical articles on LLM evaluation methodologies, benchmarks, and agent assessment - Content strategy + outline creation for complex ML topics - Review and editing for technical accuracy, methodology rigor, and claim defensibility Examples from the Deepchecks blog: - "LLM Agent Evaluation: Metrics, Methods & Real-World Use Cases" - "Top LLM Evaluation Benchmarks and How They Work" - "How To Evaluate State-Of-The-Art LLM Models: A Complete Guide" → Technical Review & Quality Control - 250+ Deepchecks articles validated for technical accuracy - 5000+ ODSC conference submissions reviewed (6 years) - Methodology verification, claim validation, and editorial for clarity - Catching errors before they damage platform credibility **WHY COMPANIES HIRE ME:** I'm not a "content writer who Googles stuff." I'm a PhD researcher who writes with reviewer-level rigor. When I write about AI agent security, I understand threat models and attack surfaces. When I review LLM evaluation content, I know benchmarking methodologies. When I create outlines, I map research requirements to evidence standards. My content passes technical review because I AM a technical reviewer. **HOW I WORK:** 1. Discovery Phase: Product capabilities, target buyers, competitive landscape, regulatory context 2. Research: Deep dive into technical architecture, threat models, use cases 3. Outline: Structure with inline citations, key claims flagged 4. Draft: Full content with citations, technical depth, business context 5. Revisions: Technical accuracy → audience fit → final polish 6. Delivery: Google Doc (formatted), reference list, meta descriptions

As an Engineer and a PhD student specializing in AI and Data Science, and a new user of Upwork, I'm driven by a passion for developing intelligent systems that tackle real-world challenges. Core Expertise: ▸ Generative AI & LLMs: Fine-tuning models (GPT, LLaMA, Qwen, DeepSeek), prompt engineering, RAG systems, LangChain ▸ Conversational AI: Chatbots using DialogFlow, Watson, RASA, AWS Lex; voice systems with VAPI, Retell, Twilio ▸ Multimodal AI: Vision-Language Models (VLMs), Vision-Language-Action Models (VLAs), multimodal perception and reasoning ▸ Machine Learning: Predictive modeling, classification, forecasting, recommendation systems, customer churn analysis ▸ Deep Learning: Neural networks (CNN, RNN, R-CNN, YOLO, SSD), emotion detection, transfer learning ▸ NLP: Sentiment analysis, NER, summarization, BERT, GPT-3, text classification ▸ Computer Vision: Object detection, facial recognition, image classification, OpenCV ▸ CRM Integration & Automation: HubSpot, Salesforce, Zoho; workflow automation, lead qualification, sentiment analysis, email personalization, meeting scheduling ▸ Automation: Web scraping (BeautifulSoup, Selenium, Scrapy), workflow automation, API integration My academic journey and professional experience have given me a solid foundation in AI, deep learning, and programming, along with practical skills in building and deploying sophisticated machine learning models. I enjoy bridging the gap between cutting-edge research and practical application, turning innovative ideas into effective solutions that create a tangible impact.