I'm highly enthusiastic about learning new things, especially in the fields of Software Engineering and Data Science. I possess strong skills in both working independently and collaborating within teams, and I'm always committed to continuous learning and keeping up with the latest technological developments.
I have the skills to design and implement software applications for both web and mobile platforms, including comprehensive documentation.
I have the ability to perform data wrangling, clean data, create effective visualizations, and build machine learning models.
FGA : Big Data Using Python
Project-Based Virtual Intern: Data Scientist
Data Engineer
FGA : Microsoft Azure For Beginner
Mobile Development
The Android-based Dermanosis application can help identify skin diseases (Chickenpox, scabies, tinea versicolor, and herpes). This application will provide advice on initial treatment or specific medications before visiting a dermatologist.
CRM for Red Onion Farmers application is a specialized software solution designed to assist red onion farmers in managing red onion farming data from planting to harvest. This application is built using the Laravel framework.
The Home Credit Scorecard Model is used to determine the interest rate that will be applied to credit applications based on the customer's income type. This model also aids in identifying income types with a high potential for credit approval.
The Netflix Dashboard, designed using Tableau, aims to analyze and visualize data related to Netflix usage, genre statistics, ratings, and country-specific information in order to provide a better understanding through easily understandable and interactive visualizations.
E-Commerce Public Dashboard is built using the Streamlit framework. By utilizing Streamlit, the application offers an interactive and user-friendly interface for stakeholders such as business owners, analysts, and online store managers.
Text Emotion Detection is built with the Streamlit framework. This application utilizes machine learning models to detect various types of emotions, such as anger, fear, happiness, love, sadness, and surprise in the provided text.
Bachelors Degree - Informatics Engineering - GPA 3.65
For the past 4 years, I have been consistently expanding my knowledge in the fields of software engineering and data science while experimenting with new technologies and frameworks. Here is a summary of my skills in software engineering and data science.