I am a senior machine learning engineer at an AI real estate startup. I have had the pleasure of working in the machine learning space all 8 years of my professional career. I am passionate about building solutions that provide tangible value to the end customer. I began my AI career as a researcher at MIT Lincoln Laboratory. While at MIT LL, I worked on projects revolving around computer vision, NLP, and graph analytics. After MIT LL, I joined Avitas, GE venture as a computer vision engineer. Avitas flew drones around well pads and captured IR/RGB video and LiDAR data. My role was to develop solutions, mainly deep learning, to input the video/lidar data and facilitate inspection of the well pads. Baker Hughes bought Avitas. Shortly after, I joined FoxyAI as their first full time hire. Currently at FoxyAI, I oversee all AI development. Programming: Python, JavaScript/HTML/CSS, Java, Matlab Machine Learning: PyTorch, TensorFlow, Keras, Scikit-learn, Caffe Computer Vision: OpenCV, Pillow, Image Generation (CLIP, DALLE, Dreambooth), YOLO, Mask-RCNN, LiDAR, 3D Reconstruction, SWIN-Transformer, OCR, UNET Data Science: Numpy, Pandas, Scipy, Matplotlib, Seaborn Misc: various AWS tools, Docker, MongoDB, FastAPI, Django, Flask, Git, Jira, UNIX tools/admin

Top 1% Expert-Vetted Freelancer. I have a PhD in Computer Science (AI & Machine Learning) and I am a physician. I build custom AI systems with proprietary and public data, including creation of novel datasets and state-of-the-art models. * After a 30-minute to 1-hour initial meeting, I'll craft a clearly written report outlining a unique AI strategy for your project. * For long-term engagements, I implement AI solutions end-to-end, including data collection, data cleaning, novel model design, model implementation and training in Python, and iteration on the modeling and data strategy to achieve excellent performance. * One of my specialties is creating custom models for proprietary datasets, including images, videos, audio recordings, and domain-specific data. Book a 30-minute consultation with me to get immediate answers about your AI project: - How can you leverage AI in your organization? - What kind of AI do you need to solve a particular problem? - Should you use a model like ChatGPT/Claude or do you need a custom model? - What modeling strategy should you use? - How should you collect and annotate data? - How much data will you need? - How should you measure performance? After a consultation I’ll craft a clearly-written report outlining an AI strategy for your project. Specialties: Healthcare AI: I am an expert in healthcare AI, with a unique background that blends clinical understanding from my MD, deep technical expertise from my AI PhD, and business experience. I have completed 100+ engagements across medical specialties including radiology, dermatology, cardiology, mental health, family medicine, surgery, dentistry, physical therapy, women’s health, pediatrics, nutrition, and neurology. I have created datasets and custom models for diverse forms of biomedical data including x-rays, CTs, MRIs, clinical photographs, patient videos, medical audio, medical notes, EHR data, insurance claims, omics data, and more. Computer Vision: I create custom AI models for 2D images, 3D images, and videos on proprietary datasets. I am excited about projects from multiple industries including healthcare, manufacturing, automotive, and agriculture. I have extensive experience with classification, object detection, segmentation, and keypoint detection, to identify and localize abnormalities or features of interest. I developed the first machine learning model in the world to predict multiple abnormalities simultaneously from a CT scan. For a dermatology practice, I built the first CV model to predict Fitzpatrick skin type, pigmentation, redness, and wrinkle severity (mean accuracy 85%)—now a core model at Kesty AI. Artificial Intelligence R&D: I have led multiple AI research projects across industry and academia. I have developed novel AI methods, including HiResCAM, a convolutional neural network explanation method with mathematical guarantees. I have published original research across multiple areas of AI, including computer vision, natural language processing, explainable AI, expert systems, and applied AI. My research papers have been cited over 1,000 times. My healthcare AI blog Glass Box has over 700,000 readers from 185 countries. Natural Language Processing (NLP): I have a deep understanding of large language models (LLMs) like Claude, Gemini, ChatGPT, and Llama. I have leveraged Transformers and other NLP techniques for numerous applications, including customized chatbots, medical note generation, and structured information extraction. Advising Entrepreneurs: Before focusing on AI consulting, I spent seven years as the founder of a health AI startup. I led my previous company from concept to deployed B2B SaaS product serving medical practices. Our AI history-taking assistant and AI scribe saved clinicians 2+ hours daily. I managed engineering teams of 5-10 (60+ contributors), secured two U.S. patents, and raised competitive grant funding. I enjoy working with entrepreneurs and discussing pitch decks, fundraising, customer discovery, designing an MVP, and evaluating the ROI of an AI product. If you’d like to talk with me about your AI project, please feel free to send me a message or book a consultation using the link on my profile.

Expert in ✅ Telecommunication ✅Data Science ✅ Machine Learning ✅ Deep Learning ✅ Strong Mathematical and Statistical understanding and experience in developing and designing Quality Products. Detailed expertise includes: ✅ Product Design ✅ Machine Learning mathematical concepts and algorithms ✅ Python (NumPy, Pandas, Scikit-learn, TensorFlow, Keras, Fast.ai, PyTorch, Flask, Matplotlib, Seaborn) ✅ Signal Processing ✅ Vehicle to Infrastructure Communication Models ✅ Vehicle to Vehicle Communication Models ✅ Orthogonal Frequency Division Multiplexing (OFDM) ✅ Non-Orthogonal Multiplex access (NOMA) ✅ Reconfigurable intelligent surfaces (RIS) ✅ Working with Big Datasets ✅ MATLAB ✅PCBWeb Designer ✅ Proteus ✅ Technical Writing If you are looking for an expert telecommunication Engineer with machine learning and data science expertise you are at the right place. I would be thrilled to work with you. Let's connect and explore how we can create an impactful solutions together! Regards,

I am a skilled Python developer, Data scientist, and Mathematician, with extensive experience in machine learning, writing, academic services, such as tutoring, proofreading, formatting (e.g., APA/MLA) and web technologies like HTML, React, Django, Angular and SQL. In addition to software development, I am also an experienced mathematics, statistics and economics tutor. I specialise in data science, mathematical modelling and regression analysis, and I am proficient with tools such as R, STATA, SPSS, NVivo, MATLAB, and Google Cloud Platform services. If you need help with your projects, whether it's complex data analysis, academic and professional guidance, Agentic systems or software solutions, I’m here to deliver high-quality work efficiently. Let’s collaborate and get things done.

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 worked as a Financial Analyst at the Financial Market Authority and as a Data Scientist at many companies roles where I developed forecasting models, anomaly detection systems, real-time dashboards, and predictive tools used by decision-makers daily. I have successfully collaborated with over 15 clients, including 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. ✦ End-to-End Analytical Solutions: I build end-to-end data pipelines, from extraction to visualization, working with technologies like Spark, Python, Airflow, SQL, and Power BI. My role is to automate data flows, structure analytical models, and deploy reliable and scalable dashboards. I help companies transform raw data into actionable insights, reduce manual tasks, and accelerate decision‑making through robust and automated pipelines. ✦ Financial & Market Intelligence: Hands-on experience analyzing trading activity, market behavior, transactions, and balance sheets. I’ve implemented fraud detection models, market anomaly systems, and forecasting tools for financial performance. ✦ 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. Why Work with Me ? ✦ Proven experience in forecasting, anomaly detection, predictive modeling, and financial analytics ✦ Ability to simplify complex concepts and deliver results quickly with full accuracy ✦ Strong technical stack: Python, Power BI, SQL, Excel, TensorFlow, scikit-learn, Power Query, SAP, Azure Synapse ✦ 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 ✦ Fraud detection, 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.

I help research labs, biotech startups, and healthcare teams turn complex biological data into meaningful insights using bioinformatics and machine learning. My work spans RNA-seq, multi-omics integration, and AI-driven biological modeling, from raw data processing to predictive modeling and publication-ready results. Most clients come to me when they: • Have large-scale biological data but need structured analysis • Want to apply machine learning or deep learning to biological problems • Need scalable, reproducible pipelines • Require biologically meaningful interpretation of results Core Bioinformatics Expertise Transcriptomics & NGS Analysis • Bulk RNA-seq (DESeq2 / edgeR / limma) • scRNA-seq (Seurat / Scanpy / Monocle) • Differential expression & biomarker discovery • Functional enrichment & pathway analysis NGS & Data Processing Pipelines • FASTQ → QC → Alignment → Quantification workflows • Variant calling & genomic analysis • Automated, scalable pipeline development • High-throughput data processing Machine Learning & Deep Learning AI for Biology • Deep learning models for biological data • CNNs, RNNs, and Transformer-based architectures • Predictive modeling for genomics & drug discovery • Feature extraction from high-dimensional datasets Advanced Modeling • Graph Neural Networks (GNNs) for biological networks • Gene regulatory network modeling • Multi-omics data integration (genomics, transcriptomics, proteomics) • Explainable AI for biological interpretation Reproducible Research & Engineering • End-to-end R/Python workflows • Clean, well-documented, GitHub-ready code • Publication-quality figures & visualizations • Methods writing and result interpretation support Tools & Stack R • Python • Bioconductor • Seurat • Scanpy PyTorch • TensorFlow • scikit-learn FASTQC • STAR • Salmon • GATK • BLAST Linux • AWS / GCP What You Can Expect • Clear communication and realistic timelines • Scientifically rigorous and reliable analysis • Scalable and reproducible solutions • Insights that connect data to biology

If you're looking for someone who actually understands your business problem not just the technology you're in the right place. I'm Ali, an AI Agent & LLM developer specializing in building intelligent automation that works in the real world. Whether you need a smart OpenClaw agent that handles your workflows autonomously, a custom ML model trained on your data, or an LLM powered app that actually solves something I build it properly, from start to finish. What I work with: OpenClaw Agent Development & Automation LLMs : Claude, DeepSeek, Hugging Face models TensorFlow & PyTorch NLP, Computer Vision, Time Series Forecasting Explainable AI & Model Evaluation Azure Machine Learning I don't take on everything. I focus on projects where AI can make a genuine difference, and I work with clients who value quality over speed. Got something in mind? Send me a message . I'll tell you honestly whether I can help and how I'd approach it.

𝗠𝗼𝘀𝘁 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗲𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗔𝗜 𝗾𝘂𝗶𝗰𝗸𝗹𝘆 𝗿𝗲𝗮𝗹𝗶𝘇𝗲 𝗼𝗻𝗲 𝘁𝗵𝗶𝗻𝗴. 𝗔 𝗺𝗼𝗱𝗲𝗹 𝗮𝗹𝗼𝗻𝗲 𝗱𝗼𝗲𝘀𝗻’𝘁 𝗰𝗿𝗲𝗮𝘁𝗲 𝘃𝗮𝗹𝘂𝗲. 𝗪𝗵𝗮𝘁 𝗺𝗮𝘁𝘁𝗲𝗿𝘀 𝗶𝘀 𝗵𝗼𝘄 𝗶𝘁’𝘀 𝘁𝗿𝗮𝗶𝗻𝗲𝗱, 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗲𝗱, 𝗮𝗻𝗱 𝗱𝗲𝗽𝗹𝗼𝘆𝗲𝗱 𝗶𝗻 𝗿𝗲𝗮𝗹 𝘀𝘆𝘀𝘁𝗲𝗺𝘀. I specialize in building and deploying machine learning and Large Language Model (LLM) systems that solve real business problems, from intelligent assistants to data-driven automation and scalable AI services. With a background in machine learning engineering and software development, I focus on turning AI ideas into reliable, production-ready solutions. 𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹 (𝗟𝗟𝗠) 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 Modern AI products rely on powerful language models, but they need proper architecture to perform well. 𝐈 𝐝𝐞𝐯𝐞𝐥𝐨𝐩 𝐋𝐋𝐌-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐬𝐮𝐜𝐡 𝐚𝐬: AI chatbots and assistants knowledge retrieval systems AI copilots for internal teams automated research tools intelligent data analysis assistants These systems combine LLM reasoning with external data sources, APIs, and business tools. Retrieval-Augmented Generation (RAG) Systems Many businesses want AI that can answer questions using their own internal data. 𝗜 𝗯𝘂𝗶𝗹𝗱 𝗥𝗔𝗚 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 𝘁𝗵𝗮𝘁 𝗰𝗼𝗻𝗻𝗲𝗰𝘁 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗺𝗼𝗱𝗲𝗹𝘀 𝘁𝗼: company documents and PDFs internal knowledge bases customer support data CRM systems business databases and APIs 𝗖𝗼𝗿𝗲 𝗰𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗲: LangChain and LlamaIndex pipelines vector search infrastructure semantic retrieval optimization hallucination reduction strategies This allows AI systems to produce accurate answers grounded in company knowledge. 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗠𝗼𝗱𝗲𝗹 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 Beyond LLMs, I build and optimize traditional machine learning and deep learning models. 𝗧𝘆𝗽𝗶𝗰𝗮𝗹 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗲: predictive analytics models recommendation systems NLP and text analysis models classification and forecasting models AI-powered data processing pipelines The goal is always to create models that deliver measurable business insights. 𝗟𝗟𝗠 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗶𝗻𝗴 & 𝗠𝗼𝗱𝗲𝗹 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 Every AI system performs better when adapted to its specific task. 𝗜 𝘀𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗲 𝗶𝗻 𝗶𝗺𝗽𝗿𝗼𝘃𝗶𝗻𝗴 𝗟𝗟𝗠 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝘁𝗵𝗿𝗼𝘂𝗴𝗵: LoRA and QLoRA fine-tuning prompt engineering and optimization model evaluation and testing task-specific LLM adaptation structured output pipelines 𝗧𝗵𝗶𝘀 𝗶𝗺𝗽𝗿𝗼𝘃𝗲𝘀 𝗮𝗰𝗰𝘂𝗿𝗮𝗰𝘆, 𝗿𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆, 𝗮𝗻𝗱 𝗱𝗼𝗺𝗮𝗶𝗻-𝘀𝗽𝗲𝗰𝗶𝗳𝗶𝗰 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲. 𝗠𝗟𝗢𝗽𝘀 & 𝗔𝗜 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 AI solutions must run reliably in production environments. I implement MLOps pipelines that ensure models remain scalable and maintainable. 𝗧𝗵𝗶𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗲𝘀: model deployment pipelines experiment tracking with MLflow containerized inference services CI/CD for machine learning systems monitoring model performance and drift 𝗧𝗵𝗲𝘀𝗲 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀 𝗵𝗲𝗹𝗽 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 𝗺𝗼𝘃𝗲 𝗳𝗿𝗼𝗺 𝗔𝗜 𝗽𝗿𝗼𝘁𝗼𝘁𝘆𝗽𝗲𝘀 𝘁𝗼 𝘀𝘁𝗮𝗯𝗹𝗲 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘀𝘆𝘀𝘁𝗲𝗺𝘀. End-to-End AI System Development I support the full lifecycle of machine learning and AI projects. This includes: AI solution architecture and planning data preparation and model training backend AI service development API integrations with applications cloud deployment and monitoring The focus is always on building AI systems that integrate smoothly with existing products and workflows. 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗦𝘁𝗮𝗰𝗸 Programming & ML Frameworks Python, PyTorch, TensorFlow, Scikit-learn 𝗟𝗟𝗠 & 𝗔𝗜 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 LangChain, LlamaIndex, Hugging Face Fine-Tuning & Optimization LoRA, QLoRA, Prompt Engineering 𝗩𝗲𝗰𝘁𝗼𝗿 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 Pinecone, FAISS, Weaviate, ChromaDB 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 FastAPI, Flask, REST APIs 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 & 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝘃 Docker, Kubernetes AWS, Google Cloud, Azure 𝗪𝗵𝗮𝘁 𝗜 𝗛𝗲𝗹𝗽 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 𝗕𝘂𝗶𝗹𝗱 AI chatbots and assistants knowledge base AI systems document analysis and processing tools predictive machine learning models AI automation workflows scalable AI backend services 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲 strong combination of ML research and engineering focus on production-ready AI systems scalable architectures designed for real use clear communication and reliable delivery practical solutions that create business impact If you’re building an AI product, machine learning system, or LLM-powered application, I’d be happy to discuss how we can implement the right solution. 𝗞𝗲𝘆𝘄𝗼𝗿𝗱𝘀 Machine Learning Engineer, LLM Engineer, Generative AI Developer, AI Model Development, RAG Pipeline Development, LangChain Developer, LlamaIndex Expert, LLM Fine Tuning, LoRA QLoRA, Pyth

I'm Ben Feifke, and I help my clients turn their data into their competitive edge. For the past year, I've been helping small to medium sized businesses discover and leverage the immense value locked in their data as a Top Rated, 5-Star Freelancer on Upwork. I have 10+ years experience as a data scientist and machine learning engineer for top companies, including a publicly listed company and as the founding engineer at a Y-Combinator backed startup. I've worked across a number of domains, including but not limited to: geospatial data and GIS applications, logistics and transportation, healthcare and medical technology, price optimization, social media data, sentiment analysis, building energy performance and modeling, and more. Beyond technical excellence in delivering value from data, I'm a clear communicator to audiences of all technical levels. I look forward to getting to know you and your business. Services I Offer: - ML/AI Product Development: helping you turn your ML idea and data into a clearly codified vision with an executable roadmap and timeline. - ML and Data Software Engineering: improving, optimizing, and extending the functionality of your already existing software, ML, or data solutions; I can start a project from scratch or get up and running on your ongoing project in 24 hours. - Cloud Development: Deploying, monitoring, or improving your software or data solutions in the cloud. - Business Automation: Optimizing and automating your business processes, enabling you to focus on what really matters. Why Hire Me: - Bringing success to your project is my #1 priority - I respond within 3 hours to any technical issue or question that arises during work hours, 6 days a week. Qualifications: - 5+ years working experience as a Senior Data Scientist, Machine Learning Engineer, Data Engineer, and Manager. - MS Data Science from University of Rochester - BS Optics from University of Rochester - Published Data Science blog with 15k+ reads Skills I Possess: - Programming Languages: Python (Numpy, Scipy, Scikit-Learn, Pandas, Polars, Keras, Tensorflow), SQL - Machine Learning Techniques: Regression, Statistics, Gradient Boosting, Maximum Likelihood Estimation, Probabilistic Graphical Models, Deep Learning, Hyperparameter Tuning. - Data Processing and Transformation: Apache Spark, Python Polars, AWS Glue - Dashboards: Looker, Tableau - Cloud: Amazon Web Services (AWS), Google Cloud Project (GCP) - Data Warehouse, Data Lake, Databases: GCP BigQuery, AWS Athena, PostgreSQL, MySQL, SQLite - Data Pipelines, Infrastructure, and Orchestration: Apache Airflow, Mage, dbt - Deployment and DevOps: CI/CD, Docker, Streamlit

💡 NLP, Machine Learning, and Deep Learning Implementations 💡 Model Deployments, Data analysis and Visualizations 💡 Custom & Interactive Dashboards and ML Apps - Expertise with: NLP, ML, BigData tools GPT3, T5, custom transformer implementations Large Language Models (LLM's) ChatGPT, GPT index, Langchain Prompt Engineering Language Modelling Topic Modelling, Text Analytics Word Embeddings, Transformer Embeddings Text Similarity, Similarity Engines Recommendation Engines, Ranking Engines Classification Models, Predictive Models Time Series Analysis Classical ML (Regression Analysis, Clustering, Random Forests, Statistical Analysis, Gradient Boosting etc) OCR and Document Parsing (Extracting Tables, Text, etc) Pytorch, Pyspark, Scikit-Learn Python: Django Rest Framework, Flask, Cronjob, Celery, RabbitMQ, Web scraping, Crawling, Data Mining, Micro-Services, Logging & Debugging Database Integrations: Elasticsearch, ArangoDB, SQL, PSQL, SQLLite, MongoDB, CassandraDB, Custom integrations Deployments: Gunicorn, Nginx, Docker, Docker-Compose, AWS, Azure, GCP - About me I am Hamza Shaheen and I am a data scientist with half a decade of experience in machine learning. I will help you with your Python Problems and projects. My services include Data Cleaning, Processing, Analysis, and visualization using Python. I have all of the experience and skills you are looking for and I will be the perfect person for your business. I have a history of always completing my projects ahead of schedule. I try my best to exceed clients' expectations with high-quality work. I would love to assist you in your business in various ways and I am looking forward to it.