Hasna Razan Email & Phone Number

Tebet, Jakarta, Indonesia

I leverage data automation to streamline the reporting process, reducing turnaround time from 4 days to 2 days and ensuring continuous, day-to-day control and monitoring.- Developed comprehensive reports for all brand campaigns, delivering actionable insights to support decision-making.- Specialized in performance analysis, identifying trends and opportunities across multiple social media channels.- Initiated data automation with extension tools, significantly accelerating the reporting process.- Consistently transformed raw data into clear visualizations, helping brands understand their audience engagement and interactions.

Jakarta Selatan, Jakarta, Indonesia

I manage digital campaigns and social media assets for brands, seeking innovative ways to facilitate interaction and engagement with their audience through data.- Supported the reporting needs for 5-7 clients: FMCG, Music Event, Community Performance.- Published retainer reports (weekly, monthly) and event report.- Developed data visualizations and translated them into actionable narratives to facilitate client understanding.- Specializes in social media performance analysis such as Instagram, YouTube, TikTok, X, and Facebook to extract meaningful trends and insights.

- Analyzed Covid-19 data in Indonesia using BigQuery tools.- Developed a Covid-19 dashboard for Indonesia using Looker Studio, presenting key metrics such as the number of new cases and total deaths.- Conducted analysis to predict customer churn using Logistic Regression, Support Vector Network,K-Nearest Neighbor, Gaussian Naive Bayes, Decision Tree, and Random Forest algorithms. Balanced thedata using SMOTE (Synthetic Minority Over-sampling Technique) to handle imbalanced classes.- Achieved the highest accuracy score of 94% using Random Forest algorithms

- Focusing on the main components of Data science such as Statistics for Data Science, Exploratory Data Analysis with Python, Statistical Modelling, SQL, and Data Product Development (Dashboard)- Performed analysis to detect fraud in credit card transaction using Logistic Regression model and SMOTE and generate business insight, the most influential factor is the transaction amount- Performed a fraud detection dashboard with Google Data Studio that shows the number of fraudlent transaction, top transaction type, etc

Bachelor'S Degree, Mathematics

Relevant Coursework: Algorithm and Programming, Statistics (Descriptive and Inferential), Data Processing, Operations Research, Time.

Natural Sciences