Hire the Best SciPy Specialists

Research Publications | AI Development | Data Analysis I'm a Data Scientist with 2+ years of experience in Data Scraping, Data Analysis, Data Visualization, Machine Learning, Deep Learning, Computer Vision, and NLP. I work primarily in Python and R/RStudio. What I Do: 📊 Statistical Analysis, Time Series Analysis, Quantitative & Predictive Analysis 🤖 Designing, developing, and fine-tuning ML/DL models that deliver real impact 🚀 Building models from scratch or optimizing existing ones Background: Currently pursuing a Master's in Data Science with hands-on experience across Machine Learning, Deep Learning, and Advanced Analytics. Technical Skills: Languages: Python 🐍, R 📈 Frameworks: TensorFlow, Keras, PyTorch, Scikit-learn, Hugging Face Transformers, XGBoost, LightGBM, CatBoost, OpenCV, FastAPI, Flask, Streamlit Libraries: NumPy, Pandas, Matplotlib, Seaborn, Plotly, Statsmodels, SciPy Data Tools: Selenium, Scrapy, SQL, Power BI, Tableau, AWS (S3, Glue, Redshift), GCP, Azure ML Others: MATLAB, Git, Docker, Google Earth Engine Project Experience: I've delivered projects across healthcare, finance, computer vision, and geospatial analytics. Some highlights: Built deep learning models for drought prediction using 20 years of satellite data Developed medical image classification systems for cervical cancer detection using DenseNet, ResNet, and EfficientNet architectures Designed sales forecasting pipelines and stock market analysis dashboards with interactive visualizations Created an AI voice assistant for paramedics Built a real-time multi-camera object tracking system Developed a student pressure dashboard powered by D3.js Explored XAI methods (GradCam, SHAP, LIME) for model interpretability Implemented models for churn prediction and match outcome forecasting These projects combine machine learning, deep learning, and data science to deliver practical, impactful solutions. What I Offer: ✅ Machine Learning Models: Build, fine-tune & deploy high-performance ML solutions ✅ Deep Learning Architectures: Custom DL models tailored to your needs ✅ Python Programming: Clean, optimized code for ML & data science tasks ✅ Data Analytics & Visualization: Insightful analysis and compelling visuals ✅ Data Scraping & Parsing: Data extraction using BeautifulSoup, Scrapy, and Selenium Why Work With Me: ✨ Strong expertise in both ML and DL ✨ Clear communication throughout projects ✨ Fast delivery with professional support ✨ Focus on quality and client satisfaction I take pride in delivering solutions that work. My approach is straightforward: build powerful models, provide actionable insights, and ensure clients are happy with the results. Let's Work Together: If you need someone who can take your machine learning projects to the next level, I'm here to help turn your ideas into reality. 🚀

Many AI projects fail not because of the algorithms, but because the underlying scientific or engineering problem is misunderstood. My background allows me to bridge that gap. I hold a PhD in chemistry and technology and have many years of experience working on research, industrial processes, data analysis, and software development. My background includes patents, peer-reviewed publications, and practical industrial experience, allowing me to approach projects from both scientific and engineering perspectives. Over time, my work naturally expanded into machine learning and AI, where I now build solutions for both scientific and commercial applications. I work with clients who need more than someone who can train another neural network. Often the real challenge is understanding noisy experimental data, choosing the right model, designing a reliable workflow, or translating domain knowledge into software. Typical projects include: • Machine learning and deep learning • Large language model applications and AI agents • Scientific data analysis and visualization • Chemometrics and multivariate statistics • Computational chemistry • Spectroscopy, chromatography and mass spectrometry data • Process optimization and modeling • Python software for research and engineering • Custom algorithms and automation I choose technologies based on the problem rather than the other way around. My primary tools include Python (NumPy, SciPy, scikit-learn, PyTorch, TensorFlow, Keras), R, MATLAB, and modern cloud technologies whenever they make sense for the project. I enjoy difficult problems, especially when they sit at the intersection of science and software. Some clients come to me with a well-defined specification; others only know that "the data doesn't make sense yet." Both are perfectly fine. Whether you represent a startup exploring a new idea, an established company improving an existing process, or a research group working with complex experimental data, I'll be happy to discuss your project and see whether I'm the right person to help.

🏆 Certified Data Scientist and ML Engineer with a proven track record in developing robust machine learning, deep learning, computer vision, and audio processing solutions. 🎯 Efficient, Timely, and Results-Driven Services in the Following Fields: ☑ 𝗢𝗯𝗷𝗲𝗰𝘁 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 • Processing images and videos, including frame extraction. • Creating clean datasets for model training and testing. • Building object detection models from scratch. • Transfer learning and model fine-tuning. • Hyper-parameter optimization. • Evaluating models with real-world data. 𝙏𝙚𝙘𝙝𝙣𝙞𝙘𝙖𝙡 𝙎𝙠𝙞𝙡𝙡𝙨: Pandas, Numpy, Tensorflow, OpenCV, PIL, Scikit-learn ☑ 𝗔𝘂𝗱𝗶𝗼 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 • Processing raw audio files and cleaning noise. • Generating spectrograms, mel-spectrograms, and MFCCs. • Creating and fine-tuning audio classification models. • Utilizing transfer learning for improved performance. 𝙏𝙚𝙘𝙝𝙣𝙞𝙘𝙖𝙡 𝙎𝙠𝙞𝙡𝙡𝙨: Pandas, Numpy, Tensorflow, Librosa, Matplotlib, Scikit-learn ☑ 𝗗𝗮𝘁𝗮 𝗖𝗹𝗲𝗮𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 • Balancing datasets and removing irrelevant samples. • Conducting exploratory data analysis. • Extracting business and scientific insights. • Visualizing data with scientific plots and diagrams. 𝙏𝙚𝙘𝙝𝙣𝙞𝙘𝙖𝙡 𝙎𝙠𝙞𝙡𝙡𝙨: Pandas, Numpy, Seaborn, Matplotlib, Scikit-learn ☑ 𝗜𝗺𝗮𝗴𝗲 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 • Expertise in image processing, including medical imaging (e.g., mitosis detection in WSI). • Building and fine-tuning DL models. • Deploying models into applications using transfer learning. 𝙏𝙚𝙘𝙝𝙣𝙞𝙘𝙖𝙡 𝙎𝙠𝙞𝙡𝙡𝙨: Tensorflow, Numpy, Matplotlib, YOLO, OpenCV, Laravel, PHP I am committed to transparent communication and timely delivery of results. I strive to exceed client expectations and ensure satisfaction. Feel free to contact me to discuss potential collaborations. I look forward to working with you! Thank you! 🙏🏼😊

👋 Hi, I’m Nungga Saputra, I have experienced more than 5 years as a developer and geophysicist passionate about data and the environment. I specialize in building digital and data solutions for impactful outcomes from developing web apps to interpreting data using Machine Learning. 🎒These are some project types that I usually worked on: - Data Cleaning and Preparation - Data Analysis and Exploration - A/B Testing/Experiment - Statistical Analysis - Creating Data Visualizations - Creating Dashboards/Reports - Data Infrastructure - Machine Learning, etc 💻 Whether you’re trying to build your first carbon footprint report, analyze complex geophysical datasets, or create a website to showcase your services, I can help. I bring end-to-end project experience, from transforming raw data into structured formats using SQL, Python, R and Julia to building user-friendly dashboards and interfaces. 🛠️ Skills & Tools: • Programming: Python, R, HTML, CSS3 • Platforms: WordPress, SQL-based databases, Linux • Tools: Tableau, PowerBI, Google Looker Studio • ML/DL: TensorFlow, U-Net, YOLO, PyTorch • AI Automations & Agent : OpenClaw, n8n, Lindy.ai

Expert-Vetted Top 1% on Upwork | Top 10 Machine Learning Agency on Upwork | 7+ Years in Production AI | Sports, Industrial, Satellite, Healthcare I'm a Computer Vision Engineer and Machine Learning Engineer with 7+ years delivering production-grade AI systems. Upwork has Expert-Vetted me as a Top 1% specialist in this niche, and our team is ranked among the Top 10 Machine Learning agencies on Upwork. I work with product teams and startups across sports analytics, industrial inspection, satellite and aerial imagery, access control, healthcare, and generative AI — any domain where visual data needs to become reliable, actionable output running in production. As a Computer Vision Engineer, my core work covers object detection, multi-object tracking, pose estimation, image segmentation, image processing, and real-time video analysis. I build end-to-end pipelines in Python using OpenCV, PyTorch, TensorFlow, and Keras, from dataset preparation and model training through TensorRT optimization and Docker deployment on cloud or NVIDIA Jetson edge hardware. I use C++ for performance-critical components where Python latency is a bottleneck. The domains where computer vision engineer experience creates the most value: sports analytics (player tracking, performance metrics, automated statistics from broadcast video), industrial inspection (defect detection and quality control on production lines), satellite and aerial imagery (object detection and segmentation for infrastructure analysis), access control and security (vehicle identification, multi-camera real-time monitoring), and healthcare and biomechanics (pose analysis, body measurement, and biomedical signal processing connected to AI coaching backends). As a Machine Learning Engineer and Data Scientist, I also build systems for structured and time-series data: demand forecasting, anomaly detection, biomedical signal analysis, and structural health monitoring. My data scientist workflow covers scikit-learn, pandas, NumPy, and SciPy alongside deep learning frameworks, with experiment tracking and evaluation metrics to ensure models perform consistently in production. When projects require generative AI or LLM components, I deliver RAG pipelines with LangChain and vector databases, synthetic dataset generation tools, and document processing systems using the Gemini API. Regardless of domain, the computer vision engineer approach stays the same: combine OpenCV-based preprocessing with deep learning inference into a scalable, testable pipeline that holds up under real-world conditions — variable lighting, occlusion, low resolution, multi-camera setups, and edge hardware constraints. I work with YOLO-family models, ByteTrack and DeepSORT for tracking, MediaPipe and MMPose for pose estimation, TensorRT and ONNX for inference optimization, and FastAPI with Docker for production deployment. I work with a specialized team that includes a computer vision PhD, deep learning researchers, and mathematical optimization specialists. This lets me scope complex systems, split parallel workstreams, and deliver a full Computer Vision Engineer engagement faster than a solo contributor could. Clients typically work with me when they need: - a Computer Vision Engineer to build detection, tracking, or segmentation systems from scratch - a Machine Learning Engineer to productionize a research model and meet latency requirements - a Data Scientist who can go from raw data to a deployable model end-to-end - an AI engineer to integrate LLM or generative components into an existing backend - real-time or edge inference optimized for NVIDIA Jetson or mobile deployment - a Python developer who understands both the AI pipeline and the surrounding system architecture If you need a Computer Vision Engineer with the full stack from dataset to deployed API, let's talk. Main stack: Python, OpenCV, PyTorch, TensorFlow, Keras, YOLO, ByteTrack, MediaPipe, MMPose, CoreML, TFLite, TensorRT, ONNX, scikit-learn, FastAPI, Docker, PostgreSQL, C++, NumPy, pandas, SciPy.

I am junior data scientist and computer vision expert having 3 years of research experience during the research work of MS. Have good expertise in Python environment and data science domain. Have good understanding of Various AI techniques like Image classification, Image segmentation, prediction and clustering of data. Have good skill set in Data science libraries like Scikit-learn and Keras. Have good experience in computer vision and performed various computer vision tasks like features extraction as well as features matching using OpenCV.