Help & Supportcareers@gravityer.com
Data Analyst with 2+ years in Statistical Analysis & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Recent mathematics graduate with a strong foundation in statistical analysis and hand-on experience in data science and machine learning. Proficient in Python, R, SQL, Excel, and Various ML frameworks such as TensorFlow and Scikit-Learn. Adept at analyzing complex datasets, building predictive models, and deriving actionable insight with interactive dashboard. Eager to contribute and continuously learn in a dynamic data driven environment.
Bangkit Academy
Machine Learning
August 1, 2024 – June 30, 2024
Universitas Jember
Bachelor of Science · Math
August 1, 2021 – June 30, 2025
VIA.COM Indonesia
Junior Data Analyst
June 1, 2025 – Present
Jakarta, Jakarta, Indonesia
Badan Pusat Statistika
Entry and Data Analyst
September 1, 2024 – January 1, 2025
Jember, East Java, Indonesia
Department of Mathematics, Universitas Jember
Linear Stastical Model Asistant
August 1, 2024 – December 1, 2024
Jember, East Java, Indonesia
Department of Mathematics, Universitas Jember
Linear Stastical Model Asistant
August 1, 2024 – December 1, 2024
Jember, East Java, Indonesia
OCR SIREKAP Presidential Election 2024
June 1, 2026 – June 1, 2026
Developed a deep learning OCR model for Indonesia's 2024 C1 presidential election forms as part of my thesis. Prior to model development, performed manual image annotation on over 500 C1 forms at the character level to prepare high quality training data. Built using TensorFlow Keras and OpenCV, the model achieved 96% balanced accuracy in character recognition and was deployed via a simple web interface using Streamlit.
View ProjectHouse Price Regression
June 1, 2026 – June 1, 2026
Developed a regression model to predict house prices using 80 predictor variables including land area, exterior design, and road conditions. Conducted exploratory data analysis (EDA), feature engineering, and statistical analysis to understand key drivers of price. Applied advanced regression algorithms such as Random Forest, LightGBM, and CatBoost to improve prediction accuracy. Tools used include Python, Pandas, and Scikit-learn.
View ProjectSehatin
June 1, 2026 – June 1, 2026
Worked with a team of 7 to develop an Android application that recommends healthy recipes based on the ingredients users already have. I was responsible for building an ingredient recognition model using transfer learning with MobileNetV3-Large, achieving 96% top-1 accuracy. The model was converted to TensorFlow Lite for efficient on-device inference (under 100 ms latency on mid-range smartphones), and I also provided TF-JS model to enable both cloud-based and edge computing deployments.
View ProjectAnalyze Data to Answer Question
Coursera
June 1, 2026 – Present
Mathematics for Machine Learning and Data Science
Coursera
June 1, 2026 – Present
Tensorflow Advanced Technique
Coursera
June 1, 2026 – Present
Deeplearning.AI Tensorflow Developer
Coursera
June 1, 2026 – Present
Share Data Through the Art of Visualization
Coursera
June 1, 2026 – Present
Tensorflow Data and Deployment
Coursera
June 1, 2026 – Present
Generative AI for Everyone
Coursera
June 1, 2026 – Present
TBI English for Business Communication
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from academic thesis work (OCR) to personal projects (House Price Regression, Sehatin) and internship experience (demographic reports, time-series analysis), indicates a broad interest and adaptability. Their involvement in student organizations and teaching assistant roles suggests a proactive and collaborative mindset. The target role of Data Analyst aligns well with their demonstrated skills in data manipulation, analysis, visualization, and model building. The breadth of skills in both traditional data analysis and machine learning also suggests a willingness to learn and grow, which is a positive cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills such as leadership, problem-solving, communication, teamwork, and critical thinking through their academic leadership roles and project collaborations. Their experience as a teaching assistant also indicates an ability to explain complex topics and manage responsibilities. These skills are valuable for a Data Analyst role, which often requires collaboration and clear communication of insights.