Int-Factor

Expertise in transforming business resources and requirements into manageable data formats and analytical models, designing algorithms, building models, developing data mining and reporting solutions that scale across a massive volume of structured and unstructured data. Proficient in managing entire data science project life cycle and actively involved in all the phases of project life cycle including data acquisition, data cleaning, data engineering, features scaling, features engineering, statistical modeling, testing and validation and data visualization. Data Analysis - Pandas, Numpy, Jupyter Notebooks Data Acquisition - Python based - Scrapy, Selenium and BeautifulSoup4. Also, UiPath Data Visualization - Plotly, Dash(Plotly), Seaborn, and Matplotlib Scripting and Automation - Python 3 based and RPA API development and integration - Flask, Swagger for API Documentation NLP - Spacy, NLTK, TextBlob Web Development - Flask (Expertise in POCs for AI based projects) Machine Learning - Scikit-Learn AWS Cloud - Lambda, EC2, RDS, and DynamoDB RPA - UiPath for data acquisition Delivered and communicated research results, recommendations, opportunities to the managerial and executive teams, and implemented the techniques for priority projects.