Best Participant Data Analytics Trainee by Digitalent x Google 🎗️ | Top 1 Best Student Data Analyst in Study Independent Program at Greatedu 🥇 | Top 1 Best Final Project Data Analyst Study Independent Greatedu 🏆 | Microsoft Office Specialist: Excel Associate 2019 Certified 🎖️ | BNSP Certified Associate Data Scientist (CADS) 🏅
🌟 A Fresh Graduate in Digital Business with a passion for business and data, certified as a BNSP Associate Data Scientist and Microsoft Excel Associate.
💻 Proficient in: SQL, Python, Spreadsheets, Google Looker Studio, Tableau, and Power BI. I have a proven track record in designing machine learning models and leading award-winning data projects.
🏆 Recognized as the best participant in professional training programs within the data field, I demonstrate excellent analytical skills that drive innovative ideas. My experience includes internships and collaborative projects that deliver impactful business insights.
▪ Facilitated requirement gathering sessions with over 20 clients through structured meetings, documented needs into solution proposals or PRDs, and ensured clarity by producing comprehensive Minutes of Meeting (MoM), which reduced requirement gaps and minimized miscommunication.
▪ Streamlined client business processes by collaborating cross-functionally with AI Engineers for solution design, and with the design team to create mockups in Figma and workflows in Draw.io, which accelerated delivery and reduced the number of design revisions.
▪ Prepared detailed project estimations covering timeline, resource planning, and required tech stack, while defining clea
Join the project of IndihomeX:
▪ Analyzed 10 competitors in similar products for IndiHome's internet add-on services, resulting in a new add-on to enhance Wi-Fi networks with additional devices to eliminate dead zones.
▪ Improved the Speed on Demand dashboard by redesigning the layout and adding a KPI page to simplify performance monitoring for stakeholders.
Join the project of Omni Communication Assistant (OCA Indonesia):
▪Developed a machine learning framework for RFM analysis and churn prevention, providing actionable business recommendations for each user segment. Delivered data-driven insights that empowered the marketing team to design targeted campaigns, effectively boosting revenue. Documented the entire process with detailed flowcharts to streamline future implementations.
▪ Created concept insights for the OCA dashboard by defining metrics, conceptualizing mockups, and generating metrics that facilitate monitoring key activities driving conversions.
▪ Optimized the user flow on the OCA Telkom website through competitor analysis to enhance the customer journey and ease of use.
▪Selected among 7000+ applicants for the prestigious Digitalent program by Kominfo, undergoing rigorous administrative and test selection processes.
▪ Achieved outstanding grades ranging from 91 to 99 for all learning on the Coursera platform and was recognized as the best participant.
▪ Received hands-on guidance from instructors in weekly live sessions, on the importance of safeguarding PII data, data analysis, data visualization, and completing data case studies.
▪Led 4-member data analyst team, utilizing Spreadsheet, Python, Google Data Studio then established timelines team for 2 months, resulting in a 120% increase in team effectiveness compared to other groups.
▪Selected the K-Means Clustering machine learning model, conceptualized slide presentations and dashboards, and provided innovative solutions to reduce pollutant levels, aligning with government SDGs.
▪Successfully implemented the CRISP-DM framework by getting the title of Top 1 Best Project Data Analyst from 40 teams. We received good appreciation from 3 expert data analysts for the analysis results and neat delivery.
▪ Completed the Credit Scorecard usecase with 307,000 data points. Achieved the best-performing CatBoost Classifier with a ROC-AUC score of 0.82 on the test set, effectively predicting customer payment outcomes and generating actionable business recommendations.
▪ Acquired proficiency in data processing using Microsoft Excel, SQL, and Python, as well as fundamental machine learning techniques, hyperparameter tuning, model evaluation methods, and business acumen.
▪ Successfully completed daily tasks and the final internship assignment and received a certificate of completion as a qualified student.
▪Gathered data from various sources on mental health issues, collected responses from 56 individuals via social media, and visualized the data using pie charts and bar charts for team analysis and problem-solving.
▪Validated data through riskiest assumptions calculations, ensuring accuracy with percentages ranging from 67% to 92%, facilitating effective problem-solving.
▪Identified targets from Feel Watch to align with the team's objectives of reaching the top 10 in a startup innovation event at the University of Indonesia, optimizing success in targeting the right users.
▪ Lead weekly and monthly evaluation meetings of the division during the internship period conducted through video conferencing for a maximum of 1 hour and asynchronous via Whatsapp Group to discuss the progress and constraints of the Service team to be coordinated to the President Director.
▪ Analyzed and cross-checked the performance of team members including copywriters of 50 business forms, analyzed the suitability of the design with existing guidelines where the results were used as evaluation and improvement before the results were submitted to the Director of PT. Bermerek.
▪ Create example of interactive and attractive form design with the guidance of PT. Bermerek design guidelines, then submit to the design division for design application details.
Certification and Training
Microsoft Office Specialist: Excel Associate (Excel and Excel 2019)
BNSP Certified: Associate Data Scientist
International Certificate: Basic Proficiency L1 Data Wrangling KNIME Analytic Platform
Microsoft Office with Excellent Grades (Word, Excel, Power Point)
Completion Course: Google Data Analytics Certificate
Completion Course: Study Independent GreatEdu - Data Analyst Program
Project Based Intern: Data Scientist - Home Credit Indonesia x Rakamin Academy
MySkill: SQL for Data Analyst, Google Looker Studio, Microsoft Power BI
Completion Course: Data Analytics Trainee
Completion Course: JobReady Employability Skills
Achievement
Top 1 Best Student Data Analyst, Study Independent by Kampus Merdeka at GreatEdu
Best Participant Data Analytics Trainee, Digital Talent Scholarship by Kominfo X Google
Top 1 Best Final Project Data Analyst, Study Independent by Kampus Merdeka at GreatEdu
PKM-VGK: FEEL WATCH: An Application-Based Application-Based Helper for Mental Health Disorders as a Support for a Healthy and Balanced Life.
PKM-RSH: Towards Quality Villages: Case Studies of Early Marriage and Patterns of Sex Education in Pageurageung District.
PPK Ormawa: Towards Quality Villages: Case Studies of Early Marriage and Patterns of Sex Education in Pageurageung District.
Putra Putri Tasikmalaya is an association formed to reflect the face of the campus. Here, apart from learning about pageants, we also have to be ethical and of course have high empathy in addition to being good at public speaking. From here I have helped several activities on campus by becoming the Master of Ceremony and because of my title as the best photogenic I was invited to become a talent in the study program's social media, and one of the product talents in the community service program.
Education
Studi Independen Bersertifikat PT. GreatEdu (Feb 2024 - Present)
Universitas Pendidikan Indonesia (Sep 2021 - Present)
Organization
Head of Finance Division at Secretariat Departement
(Jan 2023 - Dec 2023)
Research and Development Division (Jan 2022 - Dec 2022)
Publication
Combination of Hyperparameter Initialization and Adam Algorithm for Optimizing Gated Recurrent Unit Models in Forecasting Stock Closing Prices Post-Boycott Issues (Python)
Analysis of Liabilities and Equity Against Profit in Primary Consumer Goods Sector Companies Listed on the Indonesia Stock Exchange (SPSS Software)
Advantages and Strategies of the Mixue Business Model (Literature Review)