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Data Analyst with less than a year in data interpretation, skilled in SQL, Python, R, and Looker Stu
A Bachelor's degree graduate in Statistics from Universitas Islam Indonesia (GPA 3.67), seeking a challenging role as a Data Analyst. Skilled in SQL, Python, R, Microsoft Excel, Microsoft Word, PowerPoint, Looker Studio, and Google Sheets. With a strong foundation in problem-solving, attention to detail, presentation, communication, and analytical skills developed in fast-paced environments, I am eager to leverage my analytical mindset and data interpretation skills to excel in the field of data analysis. Certified in the Full Stack Intensive Bootcamp for Data Analysts from MySkill in 2024.
Islamic University of Indonesia
S1 Statistics · Statistics
September 1, 2020 – July 1, 2024
Senior High School 1 of Jambi City
Senior High School · Mathematics and Natural Sciences (MIPA)
July 1, 2017 – April 1, 2020
PT Jambi Lestari Internasional
Administration Freelance
November 1, 2025 – Present
India
Kantor Pelayanan Pajak (KPP) Pratama Jambi Telanaipura
Data Analyst Internship
January 1, 2023 – February 1, 2023
India
Research on the Impact of Tourists' Intention to Revisit
October 1, 2023 – January 1, 2024
Actively participated in a team of 4 members to analyze the relationship between the dimensions of Memorable Tourism Experience (MTE) and tourists' revisit intentions at Ledok Sambi, Yogyakarta. Ensured the completion of research preparations within 30 days and coordinated data collection through field surveys involving 100 respondents.
Development Article on Counterrespondent Objects (Artificial Intelligence for Data Scientist)
July 1, 2023 – July 1, 2023
Developed and implemented creative ideas for the scientific article titled "Development of Object Counter Using Background Subtractor Method," focusing on improving efficiency in object monitoring. Successfully optimized data-driven decision-making processes through the analysis of the number and frequency of specific object occurrences.
View ProjectDecision Tree Model Article Using R (Modern Prediction & Machine Learning)
June 1, 2023 – June 1, 2023
Developed and implemented creative concepts for the article titled "Building a Decision Tree Model for Prediction with R Using Machine Learning Steps". Successfully developed a predictive model using a decision tree to classify iris flower species based on optimal attributes, with accurately validated results.
View ProjectEnglish Grammar Program I
Cilacs UII
January 1, 2025 – Present
Data Analysis: Fullstack Intensive Bootcamp
My Skill
November 1, 2024 – Present
Excel Basic to Advance : Fullstack Intensive Bootcamp
My Skill
October 1, 2024 – Present
RevoU Mini Course : Data Analytics
Revo-U
October 1, 2024 – Present
Full Stack Intensive Bootcamp for Data Analysts
MySkill
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse interest in applying data analysis to various fields, from tourism to object recognition and tax collection, indicating adaptability and a broad perspective. Their participation in organizational experience (LEM FMIPA) and team-based academic projects suggests a collaborative mindset. The pursuit of multiple bootcamps and certifications highlights a strong drive for continuous learning and self-improvement, which aligns well with a growth-oriented culture. The target role of Data Analyst aligns with their educational background and the skills acquired through internships and certifications. However, the lack of extensive professional experience means their ability to navigate complex corporate cultures is yet to be fully tested.
Soft Skills & Operational Fit
The candidate demonstrates good soft skills including communication, teamwork, adaptability, problem-solving, and presentation skills, as stated in the resume. Their experience in coordinating data collection and presenting insights suggests an ability to work effectively in a team and communicate findings. The academic projects and freelance role indicate a capacity for initiative and self-motivation, which are valuable for operational fit in a data-driven environment. However, the experience is primarily academic and entry-level, so the depth of these soft skills in a demanding corporate setting needs further validation.