Muhammad Suluh Mahardhika
About Me
My name is Muhammad Suluh Mahardhika, I am a person with a passion for learning and collaborating with others, also I value flexible working hours, which keep me motivated and engaged.
Currently I am working as a Data Analytics Associate at RevoU as part of RevoU Data Analytics Bootcamp. Also, I worked as an observer and Analyst at BMKG for 10 months and led a project at RevoU. These experiences taught me valuable skills, including data cleaning, exploratory data analysis (EDA), report creation with dashboards, and effective teamwork.
I am expertised in using analytical tools like SQL, Excel/Google Sheets, Python, and Tableau. My analytical thinking and attention to detail ensure accurate results.
What makes me stand out is my proficiency in data analytics tools, meticulousness, and commitment to continuous learning. I believe these qualities make me a strong candidate for any data analyst role.
Education
State College of Meteorology Climatology And Geophysics logo State College of Meteorology Climatology And Geophysics
• Studied about climatological sciences such as; geography, physics, basic chemistry, calculus, differential equation, observation, climate data analysis, and forecasting • Learned programming languages such as; R and python
RevoU
• Completed and selected as 5th best Group Project as Project Lead with a theme about US Regional Sales Data • Learned business understanding (defining problem statement, root causes, and hypothesis using issue tree and SMART method) • Studied about how to find insights and recommendations using EDA, descriptive statistic, customer clustering/segmentation, cohort analysis, regression analysis, and others • Performed the assignments using tools such as Google Sheets, SQL, Python, Looker Studio, and Tableau
Work & Experience
Observer & Analyst
BMKG
• Inputted up to 12 hours climate data with variables such as; temperature, relative humidity (RH), air pressure, sunshine duration, radiation, and precipitation daily • Analyzed those climate data daily like highest, lowest, average, trends, and boxplot from those variables of climate data using python • Created bulletin or dissemination of analysis climate and forecasting about precipitation, drought level, water availability level, flood-prone areas, and average temperature monthly with an accuracy level of 80%
Data Analytics Associate
RevoU
• Execute hands-on stealth tech startup project as part of RevoU Data Analytics. • Responsible to execute analysis such as feature adoption and prioritization analysis, customer segmentation, churn analysis, and KPI dashboard monitoring. • Manage to run 1 self-data project in 2 weeks with satisfactory results from supervisor
