Dastan A.

🏆 Top Rated Plus As a Top Rated Data Scientist and AI/ML & Workflow Automation Specialist with 7 years of experiecne , I specialize in Natural Language Processing (NLP), Data Analysis, Image Processing, Predictive Modeling, Web Scraping, ETL, EDA, Database Migration, Pipeline, Devops, CI/CD Pipeline, Frontend and Backend development. I am a dedicated Data Scientist with a strong background in Machine Learning and Artificial Intelligence. With expertise in Python and R programming languages, I specialize in developing intelligent models and algorithms to extract insights and solve complex business problems. My passion for data science combined with my experience in advanced analytics and AI enables me to deliver valuable solutions that drive data-driven decision making and yield measurable results for clients. Core Technologies: 1. Cloud-based platforms (AWS, Azure, Google Cloud): Utilize cloud infrastructure for scalability and flexibility in data processing and storage. 2. ETL processes and data integration (Snowflake Warehouse, BigQuery): Efficiently extract, transform, and load data from various sources into a centralized data warehouse. 3. Data Cleaning, Preprocessing, and Feature Engineering: Ensure data quality and extract meaningful features for analysis and modeling. 4. Natural Language Processing (NLP): Leverage text classification, sentiment analysis, named entity recognition, and topic modeling to extract insights from unstructured text data. 5. Python (NLTK, spaCy, Gensim, Stanford CoreNLP, BERT, WordNet, TensorFlow, Keras, PyTorch, OpenCV, ComputerVision, Hugging Face Transformers, Scikit-learn): Utilize a powerful programming language for data analysis, machine learning, and computer vision tasks. 6. R (Tidyverse, Caret, text mining packages): Leverage a statistical programming language for data analysis and modeling. 7. SQL and Database Management: Manage and query structured data in databases using SQL. 8. Exploratory Data Analysis (EDA) and Data Visualization: Explore and visualize data to gain insights and identify trends. 9. Predictive Modeling - Regression, Classification, Time Series Forecasting: Apply statistical and machine learning models to predict future outcomes. 10. Image Processing - Object Detection, Image Recognition, Image Segmentation: Extract insights and patterns from image data using computer vision techniques. 11. Web Scraping (BeautifulSoup, Selenium, Scrapy, Puppeteer, Octoparse, ParseHub, Apify): Automate data collection from websites using web scraping tools. 12. Full-stack development with proficiency in both front-end and back-end technologies: Develop end-to-end web applications with proficiency in both front-end and back-end technologies. 13. Statistical Analysis and Hypothesis Testing: Apply statistical methods to test hypotheses and draw conclusions from data. 14. Data Visualization Libraries (Matplotlib, Seaborn, Plotly, ggplot (ggplot2), Tableau): Visualize data using powerful and flexible libraries. Thank you for considering my portfolio!