Python

Advanced

Python is a versatile programming language that I've extensively used across various domains including data analysis, web development, automation, and machine learning. I am proficient in a wide range of Python libraries and frameworks.

Core Skills

Data Science

NumPy

Pandas

Matplotlib / Seaborn

Scikit-learn

Jupyter Notebooks

Web Development

Flask

Django

FastAPI

Requests

Automation

Selenium

BeautifulSoup

Schedule

Openpyxl

Notable Projects

Actuarial Data Pipeline

→Developed automated data cleaning and analysis workflows for actuarial reports
→Implemented ETL processes using Pandas and SQLAlchemy
→Created scheduled reports that reduced manual work by 80%

Insurance Analytics Dashboard

→Built a Flask web application for real-time insurance analytics
→Integrated multiple data sources using Python APIs
→Implemented interactive visualizations with Plotly and Dash

Machine Learning Models

→Developed predictive models for insurance claim frequency and severity
→Implemented customer segmentation using clustering algorithms
→Created automated model validation and monitoring systems

Process Automation

→Automated regulatory reporting processes using Python scripts
→Built data validation tools that improved data quality by 95%
→Created automated testing frameworks for actuarial models

Data Science Workflow

01Data Collection — Web scraping, API integration, database queries

02Data Cleaning — Handling missing values, outliers, and data quality issues

03Exploratory Analysis — Statistical analysis and visualization

04Model Development — Feature engineering and algorithm selection

05Model Evaluation — Cross-validation, metrics analysis, and interpretation

06Deployment — Model serving and monitoring in production

Best Practices

Following PEP 8 standards, type hints, and documentation

Unit testing with pytest and integration testing

Git workflows and collaborative development

Dependency management with pip and conda

Code optimization and profiling

Continuous Learning

Exploring new libraries and frameworks

Contributing to open-source projects

Following Python community best practices

Experimenting with emerging technologies like async programming

Staying updated with the latest Python releases and features

Python serves as my primary tool for solving complex data problems and building robust applications that streamline business processes and provide valuable insights.