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 RPA
API development and integration - Flask, Swagger for API Documentation
NLP - Spacy, NLTK, TextBlob
Web Development - Django, Flask, FastAPI, HTMX
Machine Learning - Scikit-Learn
AWS Cloud - Lambda, EC2, RDS, and DynamoDB

Delivered and communicated research results, recommendations, opportunities to the managerial and executive teams, and implemented the techniques for priority projects.