NLP and bert Python Developer for Contract Analysis

Hi, I'm an experienced Python developer with the necessary skills to complete your project. I already worked on NLP project topics including skill sets: • Proficiency in Machine Learning techniques, deep networks (CNN, RNN, LSTM, GRU), • Experience with Chatbot, Question Answering, Sentiment Classification, Named Entity Recognition (NER), Part of Speech (POS) tagging, Lemmatization, Text Similarity, Machine Translation etc. • Fine-tune ChatGPT, GPT (2, 3, 3.5turbo), BERT, … based on the specific requirements and functionalities. • Strong programming skills, preferably in Python and relevant libraries like Pytorch, TensorFlow, scikit-learn, NumPy, Pandas, NLTK, spaCy, etc. which my skillset allows me to handle large datasets I believe I am the perfect fit for this project. With my skill set, you can be sure that you will receive high-quality results. If you're interested in hearing more about how I could help you, please don't hesitate to reach out! I can provide the requirements with minimum time and cost.

With over 5 years of senior developer experience, I bring a wealth of expertise to the table. Proficient in backend development using Python and R, I'm well-equipped to create robust platforms. My database management skills include MySQL, SQL, and SQLite, ensuring efficient data organization. Using web frameworks like Flask and Django, I can build scalable and responsive web applications. Web scraping, data analysis, and visualization are second nature, thanks to tools like Beautifulsoup, Selenium, Pandas, Seaborn, Numpy, and Matplotlib. Additionally, I have hands-on experience in machine learning with PyTorch, TensorFlow, Keras, DNN, GAN, CNN, and Scikit-learn. My commitment to transparency, quality, and full-time availability makes me an ideal choice for your project. Let's collaborate to bring your vision to life.

Hi! I am an accomplished Machine Learning Engineer with hands-on experience building end-to-end AI applications. My skill set and experience with RAG systems (PDF handling) make me a perfect fit for this task. I would make sure to get an accuracy range between 70% and 80% or even more with a good minimal FE and extracted summary download option. Feel free to message me for further discussions. Best Regards, Sameer

Hello Pritishinde9075, I am Rajat, a seasoned developer proficient in Python, machine learning, and various other programming languages. I am excited about your project that involves NLP and Bert for contract analysis. With my extensive experience in developing applications and systems, I am confident in my ability to deliver a functional prototype that meets your requirements. I have a solid background in Python, experience with NLP libraries like spaCy and NLTK, and a deep understanding of machine learning principles. My attention to detail and expertise in working with PDF formats will ensure accurate identification of non-compete clauses in employment contracts. I am eager to discuss how we can collaborate to bring your project to life. Looking forward to further discussing your project and how I

As a seasoned Python developer, I bring a unique combination of skills that makes me the ideal fit for your project. My expertise extends to key areas essential in completing this project proficiently including proficiency in Python, experience with NLP libraries such as spaCy and NLTK as well as a solid understanding of machine learning principles. I can seamlessly capitalize on these tools and technologies to develop a powerful and accurate prototype capable of identifying non-compete clauses in employment contracts. Additionally, my strong attention to detail complements the project’s need to identify various types of restrictions within the contract including geographic, temporal and scope of work restrictions. Being well-versed in working with PDF formats will also ensure an efficient and integrated system. With an uncanny ability to problem-solve, solid organizational skills, and dedication to clean, efficient code solutions, I offer more than just technical expertise. I pledge to be attentive to every aspect of your project while working diligently towards meeting your desired objectives. The stage is set for us to turn your ideas into a cutting-edge reality, so let’s connect today!

Hi there, I’ve carefully reviewed the requirements for your GenAI project and I’m confident that my expertise in building NLP pipelines using Hugging Face and LangChain can meet your expectations. My experience includes working with large language models (LLMs) for Retrieval-Augmented Generation (RAG), as well as fine-tuning models with custom datasets to enhance text generation. I’ve successfully completed similar projects where I applied these techniques in Python to build robust, client-specific solutions. I would love the opportunity to discuss how I can leverage my skills to develop a tailored solution for your project. Feel free to take a look at my portfolio to get a sense of the work I’ve done: Portfolio: https://www.freelancer.com/u/webmasters486 Looking forward to hearing from you! Best regards, Muhammad Adil

skilled Python developer with experience in Natural Language Processing (NLP) and Bert to deliver a functional prototype that identifies non-compete clauses in employment contracts.

With my background in statistical analysis, data management and research writing, I am equipped to take on the challenge of extracting and analyzing PDF employment contracts proficiently. My extensive experience with Python, NLP libraries including spaCy and NLTK, as well as my proficiency with machine learning models makes me one of the best candidates for this task. Moreover, I am not just a tech-focused statistician but also have a keen eye for detail which is essential for accurately identifying non-compete clauses, understanding restricted activities like geographic and time restrictions, and providing a comprehensive summary. I understand the importance of providing results within an acceptable range of accuracy while maintaining efficiency. Your satisfaction is my prime concern, and therefore, before submitting any project, I ensure it undergoes rigorous testing. With quick adaptability to new software tools and a commitment to meeting deadlines without compromising on quality, I assure you that I will produce a functional prototype that exceeds your expectations. Let's connect and discuss this project in more detail to start building the solution your business needs.

I am an experienced Python developer specializing in Natural Language Processing, with a proven track record of delivering accurate and efficient solutions. My expertise with NLP libraries and machine learning ensures your project will accurately identify and summarize non-compete clauses in contracts, applying the highest attention to detail. I offer 24/7 support to ensure seamless communication. Let's discuss how I can bring this concept to life.

With over 5 years of experience developing software solutions, specializing in Python and Machine Learning, I am confident that I can deliver the functional prototype you need for this Natural Language Processing project perfecting your contract analysis. My record speaks to my capability to turn ideas into operational code and create bespoke automated systems to enhance business processes. My proficiency with NLP libraries, spaCy and NLTK, will significantly assist in identifying non-compete clauses, as well as restricted activities within the document for your project. The deep learning algorithms and machine learning principles that I have mastered throughout my career will be major contributors to the accuracy range that your system intends to achieve between 70% and 80%. This accuracy range is essential for the quality of the extracted summaries that will be showcased and made available for download, as well as for the highlight feature.

Hello, Client.? Thanks for your fantastic job posting! I’m really excited about the opportunity to work on this project as I have the skills and experience you’re looking for. My recent experience includes developing a machine learning model that identifies key clauses in legal documents, specifically focusing on employment contracts. I utilized Python along with NLP libraries like spaCy and NLTK to achieve an accuracy of over 75%, which I believe aligns perfectly with your requirements. Additionally, I successfully created a PDF parser to extract text and highlight relevant clauses, making it easier for users to reference important information. This hands-on experience has equipped me with the know-how to tackle the challenges of your project effectively. So please provide me the best solution for this project: ✔ I will implement a robust prototype that accurately identifies non-compete clauses. ✔ I’ll ensure the system summarizes and highlights these clauses for easy reference. ✔ I’ll make sure it can handle PDF formats and various restrictions with precision. ✔ I aim for that sweet spot of 70% to 80% accuracy through rigorous testing. Overall, I am very confident I can deliver a functional prototype that meets your needs. If you are interested in my experience and skills, ping me anytime. I am ready to work for you every time.⏰ Best, Nicolas J.

With a solid background in Python and extensive knowledge in NLP, I am confident in my ability to understand and tackle the intricate challenge of contract analysis. My appreciable experience with both NLTK and spaCy make me a perfect match for this assignment as I am well-versed in leveraging Natural Language Processing technologies. Additionally, my adeptness in machine learning principles allows me to optimize and improve our algorithms for achieving that desired 70%-80% accuracy range. Operating from India, we offer a comprehensive set of computing technology solutions backed up by rigorous research. Our objective is two-fold - to expand the horizons of technical knowledge and provide efficient, innovative answers to problems like yours. Not only do we understand the need for precision in identifying clauses but also the efficiency required with immense data contained within PDFs. Therefore, hiring us would not only get you a skilled professional but an entire team committed to your project's success. We would be more than elated to contribute our expertise towards creating a machine learning-powered prototype which flawlessly detects non-compete clauses while ensuring a convenient summary retrieval system for easy reference.

As an experienced data scientist, I've spent a considerable amount of my career building custom models, including deep learning models for prediction and clustering -- a skill set that perfectly aligns with the task at hand. I am intimately familiar with Python and have worked extensively with Tensorflow and its associated libraries for building image processing and natural language processing solutions. My comfort with advanced technologies extends to Linux, an ideal operating system for Pine Script. Given your need for a volume indicator that can identify spikes, create moving averages, and provide color-coded visuals, my proficiency in utilizing various machine learning techniques such as CNN and DNN can be put to optimal use. I understand just how crucial accurate information in real-time can be when it comes to trading decisions, which is why I pledge to deliver a high-performance solution that smoothly navigates the complexities of market data to capture vital trends. Moreover, my commitment to effective communication ensures we will work together seamlessly throughout the project. During my career, I've developed many dashboards and web applications, firmly establishing my understanding of the entire project lifecycle. I look forward to further discussing your specific requirements while assuring timely delivery of a top-notch volume indicator. Let's create value together!

Hello there, I have read your proposal and would be thrilled to assist you in developing a functional prototype for identifying non-compete clauses in employment contracts using Python and NLP techniques. With my expertise in NLP, machine learning, and PDF data processing, I can deliver a robust proof-of-concept tailored to your requirements. #Approach: PDF Preprocessing: Extract text from PDF files using libraries like PyPDF2, pdfminer, or PyMuPDF. Clean and preprocess the extracted text to prepare it for clause identification. Model Development: Use a pre-trained NLP model like BERT or fine-tune it for identifying clauses. Implement NLP libraries such as spaCy or NLTK for extracting keywords, entities, and contextual data related to non-compete clauses. Clause Identification: Develop a pipeline to identify and classify non-compete clauses based on their nature (e.g., geographic, time, scope of work restrictions). Highlight identified clauses within the contract text for easy reference. Summary Extraction: Generate concise summaries of non-compete clauses using text summarization techniques or pre-trained transformer models. Provide an option to download the extracted summaries in a user-friendly format. I look forward to collaborating on this project and delivering a high-quality proof-of-concept. Let’s connect to discuss further! Warm regards

Having worked extensively with Python and machine learning, I can confidently say that I am the best candidate for your NLP and Bert project. Having great proficiency in Python language and in-depth grasp on its libraries, allows me to maximize the potential of Natural Language Processing - making your desire to identify non-compete clauses a reality. With my familiarity skill in NLP libraries like spaCy, NLTK, I can ensure reliable clause identification while producing an accuracy range of 70% to 80%. My devotion to detail paired with my knowledge of working with PDF formats ensures not a single nuance within the employment contract is overlooked. Additionally, having led numerous full-stack development projects using Python framework such as Django and Flask amongst others, I am confident in my ability to rapidly prototype, while maintaining code quality. Furthermore, I have always been ardent about leveraging creative automation solutions to drive not only operational efficiency but also user experience optimization. Considering that, my goal throughout this contract analysis project will be delivering more than just functional prototype but a system that’s usable and enhances user experience. Let's connect and get started on revolutionizing your contract analysis system today!

I am an experienced Python developer with a strong background in Natural Language Processing (NLP) and machine learning, particularly using BERT. I can develop a functional prototype to identify non-compete clauses in employment contracts, including restrictions on geography, time, and scope. The system will be able to extract and summarize these clauses, highlight them in the contract, and offer an option to download the extracted summary. I will ensure an accuracy range between 70% and 80% and deliver the proof-of-concept within 7 days. Bid Amount: ₹1050.00 INR

I am Farshid Hosseinnezhad, a seasoned Data Scientist with over 9 years of programming experience in Malaysia, including collaborations with government organizations and complex AI projects. I specialize in the design and implementation of advanced AI solutions, achieving significant success in enhancing operational efficiency and profitability through innovative approaches. As a distinguished consultant, I have a proven track record of leading intricate projects to successful outcomes. My expertise and skills encompass the following: Skills: Programming Languages:Python, C++, R, Matlab Operating Systems:Linux, Windows, Mac Data Analysis and Visualization:Pandas, NumPy, Matplotlib, Seaborn, Tableau, Plotly Big Data Technologies:Hadoop, Spark Database Management:SQL Server, PostgreSQL, MongoDB, Redshift, Google BigQuery Version Control: GitHub, GitLab, Bitbucket Containerization: Docker, Kubernetes Deep Learning Frameworks:Keras, TensorFlow, PyTorch Computer Vision:OpenCV, YOLO, Detectron2, Pillow, Tesseract, LayoutLM Cloud Services: AWS:EC2, EMR, Redshift, Lambda, SageMaker, Athena, Glue, Crawler, MWAA GCP:Cloud Storage, AI Platform, Dataflow, Pub/Sub MLOps Frameworks:MLflow, Airflow, Kafka Collaboration Tools:JIRA, Confluence Web Scraping: BeautifulSoup, Scrapy Machine Learning Libraries:Scikit-Learn, Boosting Natural Language Processing: Spacy, BERT, NLTK Signal Processing Techniques:DWT, DCT, NVF

As an experienced Full Stack Developer for over 12 years, my expertise is focused on Machine Learning (ML) with a strong proficiency in Python. While I have an extensive background in developing high-quality websites, I also possess a deep understanding of NLP libraries such as spaCy and NLTK, which makes me perfectly suited for your project. Moreover, my knowledge of machine learning principles coupled with my ability to work effectively with PDF formats further enhances my qualifications. I am keenly aware of the importance of thoroughness and precision when it comes to identifying non-compete clauses and the nature of restricted activities in employment contracts. I am committed to delivering nothing but the best results within acceptable accuracy ranges for your proof-of-concept project. Having worked on numerous projects that required high attention to detail and precise summarization, I understand the significance of identifying all types of restrictions and conditions such as geographic restrictions, time restrictions, and scope of work restrictions

As a seasoned Python developer with extensive experience in Natural Language Processing and BERT, I excel in transforming complex documents into actionable insights. My successful track record in similar projects guarantees a robust prototype that accurately identifies and summarizes non-compete clauses within contracts. I offer 24/7 support to ensure project success. Let's discuss how I can add value to your initiative.

Proven Python developer with extensive experience in NLP and BERT, ready to deliver a functional prototype for identifying non-compete clauses in employment contracts. Previous successes include high-accuracy systems leveraging ML principles. Comprehensive support available 24/7. Let’s discuss how I can elevate your project’s outcomes and meet your specific requirements effectively.