Position: Data Analyst/Data Scientist
Category: Data Analyst
Experience: 0.5 years | English: fluent

I have been granted the opportunity to partake in the esteemed "Data Skilled Bootcamp" as a recipient of the Technest scholarship program, which is jointly organized by the Innovation and Digital Development Agency and Taskilled. During the "Data Skilled Bootcamp" within the Technest scholarship program, I am dedicated to expanding my proficiency in a comprehensive array of essential tools and concepts in data analysis. I am currently immersing myself in learning R, Python, Power BI, SQL, and statistics with R. These skills are integral to effectively analyze and manipulate data, visualize insights, build interactive dashboards, and extract valuable information from databases. By acquiring proficiency in these technologies, I aim to strengthen my analytical capabilities and gain a deeper understanding of statistical methodologies for data analysis. Through this bootcamp, I am confident that I will be equipped with the necessary skills and knowledge to excel in the rapidly evolving field of data analysis and contribute meaningfully to data-driven decision-making processes.
While working as Data Analyst Intern at GI Group, I have done the following tasks:
Developed a sales dashboard using Power BI to visualize sales data for the company.
Technologies used: Power BI, data sources (Kaggle).

Developed a database to manage employee information, including personal details, job information, and salary details. Created tables for departments, positions, salaries, and link them with the employee table.
Built a database to manage inventory for a business. Created tables for products, suppliers, and inventory levels, and used SQL queries to track inventory levels, generate reports, and manage stock replenishment.
Design a database to manage student records for a school or university. Create tables for students, courses, grades, and attendance, and use SQL queries to generate reports, track student performance, and manage course schedules.
Technologies used: MS SQL.

While studying Data Skilled Bootcamp by Taskilled, issued by Technest Scholarship,
I have gained practical experience in a variety of tasks and projects related to data cleaning, visualization, and modeling. I have successfully completed data cleaning tasks using tools such as Power Query, R, and Python libraries like Pandas and NumPy. This involved handling missing values, removing duplicates, standardizing data formats, and transforming variables to ensure data quality. I have also utilized my skills in R and Python to create visualizations, leveraging packages like ggplot2 and Matplotlib/Seaborn, to present data insights effectively. In addition, I have utilized Power BI to create interactive dashboards, connecting to various data sources and implementing advanced visualizations and filters. Furthermore, I have experience working with MS SQL, creating tables, and writing queries to extract and manipulate data efficiently. On the modeling front, I have implemented regression models including linear and logistic regression, and have even explored automated machine learning techniques like AutoML. For instance, I have applied these models to housing and bank datasets to predict housing prices and classify bank customer behavior.