Dedicated and detail-oriented Data Analyst with a comprehensive background in data science and analytics. Seeking a challenging position to leverage my expertise in statistical analysis, programming, and strategic decision-making, contributing to organizational growth through impactful data-driven insights.
Data Analysis and Market Research:
Conducted extensive competitive analysis, synthesizing information on market dynamics, emerging landscapes, and trends in the health insurance market
- Applied SWOT analysis to assess market scenarios and make informed strategic decisions
- Utilized critical thinking and influencing strategies based on competitive intelligence
Platforms/Operating Systems:
- Proficient in Windows and Linux operating systems
- Experienced with cloud computing platforms such as AWS and Azure
Programming:
- Strong programming skills in C, focusing on data analysis and algorithm development
- Proficient in Python for data manipulation, scripting, and web scraping
- Familiar with R for statistical analysis, data visualization, and predictive modeling
- Competent in using Microsoft Access for database management
Technologies/Environment:
- Expertise in data analysis and visualization tools, including Tableau, for creating insightful reports and dashboards
- Skilled in Matplotlib for creating data visualizations and charts to communicate complex findings effectively
Machine Learning and Data Analytics:
- Knowledgeable in Machine Learning techniques and frameworks, particularly caret in R, for building predictive models, regression analysis, and clustering
- Proficient in applying Advanced Statistics & Analytics concepts, including descriptive statistics, probability theory, regression analysis, and time series analysis
Data Visualization:
- Proficient in data visualization techniques using ggplot2 in R and other data visualization libraries in Python, creating compelling and informative visuals to convey insights
Data Mining and Text Analysis:
- Experienced in text mining using Bag-of-Words and other techniques in R for extracting valuable information from unstructured text data
- Skilled in data mining, including preprocessing, feature engineering, and exploratory data analysis
Additional Qualifications:
- Strong problem-solving skills and adaptability to meet dynamic business requirements
- Excellent communication and teamwork skills, developed through collaboration in technical projects
- Solid understanding of Agile development principles and CI/CD (Continuous Integration/Continuous Deployment) practices
- Proficiency in SQL for data extraction and manipulation
- Highly motivated and self-driven to deliver high-quality results