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Want to expand your Data Science development team in Japan? Here are some of our top remote senior Data Science developers in Japan for you to browse, interview, and hire.
\- Data Scientist with 4 years of experience, aspiring to transition into a Machine Learning Engineer role. \- Achieved top 0.06% in CodinGame's game AI competition, highlighting strong knowledge and implementation skills in AI, search, and optimization. \- Experienced in handling diverse data types, including time-series, signal processing, NLP, and image recognition. Always keen on addressing customer needs. \- Tech stacks: Python, Pandas, TensorFlow, scikit-learn
### Expertise I have a scientific background with a focus on Physics & Chemistry (bachelor level), and Neurosciences (master level) before becoming a Python Developer and Data Scientist. Here are some projects I developed for my customers: * created several custom ChatGPT chatbots to allow users to ask questions about customers' own documents (PDF, website, text, Excel). * used diffusion models like Stable Diffusion or DALL-E to create new images from text instructions or edit existing images (change background, add characters, etc.). * fine-tuned a deep learning model to classify comments automatically as positive or negative. * trained a deep learning model to transcribe handwritten text into excel * gathered data from websites and generated graphs to display information relevant to the customers. * created web applications to allow customers to upload data, process it, and visualize it. ### Technical Stack **Data gathering :** * scraping (beautifulsoup, selenium, scrapy, splash), use of tools facilitating scraping like [zyte.com](http://zyte.com/). Scraped sites: Google, Fnac, Cultura, Amazon etc. * various API calls: google sheet, pipedrive, pubmed etc. **Data processing :** * reading files in different formats: json, csv, text, excel * data cleaning and processing with pandas and numpy * data storage in databases: mongoDB, DocumentDB, PostgreSQL **Data visualization** * Python visualization libraries: matplotlib, seaborn, plotly * dashboard generation with PowerBI (Microsoft) and QuickSight (AWS) **Data analysis, prediction and classification** * use of sklearn and statsmodels to analyze the data * training of pre-trained deep-learning model with tensorflow and pytorch to do sentiment classification (NLP) * use of chatgpt to do Question Answering with a vector database (FAISS, pinecone etc.) **Creation of containerized application (docker)** * creation of API with Flask, FastAPI * application creation with streamlit and Flask, deployment on AWS (lambda, API gateway, S3, SQS) **CI/CD**: gitlab, serverless framework
* Having 8+ Years of extensive experience as a Senior Software Engineer, I have designed, developed, and owned multiple end-to-end projects, mentored junior developers and interns, wrote training materials, managed and optimized AWS infrastructure budgets for my team. * I raise the bar by providing valuable feedback through design/code reviews and sharing software development best practices. I help make and influence decisions regarding the architecture, design, and future vision of my team's software systems. I advise my manager and my colleagues by presenting data and counter-arguments. * Professional experience with the programming languages Python, Typescript and C#. * Professional experience with Django, Flask, Docker, Machine Learning, Deep Learning, Computer Vision, AWS Kinesis Stream, AWS CloudFormation, PyTest, FastAPI, PyTorch, Google Vision API, AWS Lambda, Serverless Architecture, Microservice Implementation using ZUUL and Eureka (Netflix) Framework, and other AWS services and tools. * Experience with building systems using cloud technologies on AWS: EC2, ECS, S3, Redshift, RDS, Lambda, SNS, SQS, CloudFormation, Cloudwatch, Step Functions, IAM, VPC, Kinesis Data Streams, and Quicksight. * Built systems using microservice architectures with serverless designs for large-scale, high throughput, low latency, and fault-tolerant distributed systems. * Setup and evangelized automated integration tests, code review verification workflows, and dependency analysis tools.
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