✔️ EXPERT-VETTED | TOP-RATED PLUS Freelancer with various skills and experience in the Data Science field. The final product for a project will include a well-documented, commented, and organized python package which will follow appropriate software engineering practices.
My skills include machine learning, deep learning, computer vision, web scraping, data engineering, web development, and data visualizations. My main programming languages are Python, R, and SQL. I can create interactive web applications and dashboards using Python's Dash framework and R's shiny package so you will be able to observe, analyze and present various aspects of your business and other activities in practical ways. My expertise also includes the development of graphical user interface GUIs with Python's Kivy framework.
In Computer Vision, my skills include image classification, object detection, and image segmentation with Python tools such as Tensorflow, Keras, CNNs (LeNet, AlexNet, VGG1619, InceptionV3, ResNet50), SSD, YOLO, TFOD, and Mask R-CNN.
Importantly, I have skills in math and statistics essential for understanding processes behind code and interpreting outcomes from it. I have done my MBA with a focus on data science. I have been working as an accountant for around five years, including a member of the Big Four and as Data Scientist in a local IT company focused on DS. Thus, I understand finance from theoretical and practical sides and can apply code to analyze vast amounts of financial or other data efficiently. Considering my previous experience, my domain knowledge in finance, marketing (CTR, CLV), process optimization, and other business areas, I will focus on understanding your business goals and implementing solutions to make them come true.
My skills include:
✔️ Data Science
✔️ Machine Learning
✔️ Deep Learning
✔️ Full Stack Development (React, React Native, Next.js) for AI integration
✔️ Interactive Visualizations/Dashboards
✔️ Data Engineering (MySQL, MongoDB, PostgreSQL, BigQuery, Oracle, SQLServer, ETL)
✔️ Python, R, SQL
✔️ Object Oriented Programming (OOP)
✔️ PEP-8 (pylint, isort, flake8, autopep, black, docstrings, pydocstyle, mkdocs)
✔️ Web development (interactive dashboards Dash)
✔️ Graphical User Interfaces (GUI) Kivy
✔️ Big Data (Spark)
✔️ Recommender Systems
✔️ DevOps (ML Deep Learning model deployment on cloud, TDD, AWS, GCP, Docker, REST API)
✔️ OCR
✔️ Computer Vision
✔️ Audio Processing
✔️ Natural Language Processing NLP (Bert, fastText, Langchain)
✔️ CNN (LeNet, AlexNet, VGG1619, InceptionV3, ResNet50)
✔️ Object Detection (R-CNN, SSD, YOLO, TFOD API)
✔️ Image Segmentation (Mask R-CNN)
✔️ Transfer Learning
✔️ Time Series Analysis (ARIMA, SARIMA, LSTM, PROPHET)
✔️ OpenCV
✔️ Educational Tutorials
✔️ Web Scraping
✔️ Web Crawling
✔️ API Clients
✔️ Keras, Tensorflow
✔️ PyTorch
✔️ Dash, Shiny, Plotly, Streamlit
✔️ Pandas, Numpy, Scipy, Scrapy, Selenium, requests, ggplot2
✔️ IOT (Raspberry Pi)
✔️ REST API (Google Ads, Google Analytics, FB/META API, Stripe, CCXT, OPEAI etc.)
✔️ REST API development (Flask, FastAPI)
Matplotlib
