30 Jun 2021
Proficient in Python, SQL, C, C++, R, Java, HTML, and JavaScript, enabling versatile programming solutions across various domains and applications.
Python:
Proficient in leveraging Python for data analysis, including handling large datasets with libraries like Pandas and NumPy.
Automated repetitive tasks and processes using Python scripting, enhancing productivity and accuracy.
Developed machine learning models using frameworks like scikit-learn and TensorFlow for predictive analytics and classification problems.
C/C++:
Designed and implemented system-level programs, optimizing for performance and reliability.
Developed data structures and algorithms, focusing on memory efficiency and speed in competitive programming.
Worked on projects requiring multithreading and low-level operations for performance-critical applications.
JavaScript, HTML, CSS:
Built responsive and dynamic front-end applications using HTML5, CSS3, and modern JavaScript frameworks.
Implemented interactive UI components, enhancing user engagement and experience.
Optimized web pages for performance and compatibility across various browsers and devices
R:
Conducted statistical analyses, including hypothesis testing and regression modeling, for insightful data interpretation.
Created visually appealing and informative data visualizations using libraries like ggplot2 and Shiny.
Applied R for data wrangling, cleaning, and preprocessing to prepare datasets for analysis.
.NET:
Developed web and desktop applications using the .NET framework, focusing on robustness and scalability.
Utilized C# with .NET for backend development, implementing APIs and managing server-side logic.
Integrated databases with .NET applications, ensuring seamless data storage and retrieval.