Transforming Marketing ThroughData Science
I'm Anthony Christmantoro, a B2B Marketing Data Scientist with a passion for turning complex data into actionable insights. I specialize in SEO and SEM optimization using advanced analytics, machine learning, and statistical modeling to drive measurable business growth.
Anthony Christmantoro
B2B Marketing Data Scientist
Technical Expertise
Combining marketing knowledge with advanced data science skills
Professional Experience
Building data-driven marketing solutions across various industries
TechCorp Solutions
Leading data science initiatives for B2B marketing optimization, focusing on SEO and SEM performance improvement.
Key Achievements
- Increased organic traffic by 200% across client portfolio
- Developed ML models reducing SEM costs by 40%
- Built attribution models improving budget allocation by 30%
Digital Growth Agency
Managed analytics team and developed data-driven marketing strategies for enterprise clients.
Key Achievements
- Implemented advanced attribution modeling for 50+ clients
- Created automated reporting systems saving 20 hours/week
- Led team of 5 analysts and data scientists
StartupX
Analyzed marketing performance and built predictive models for customer acquisition.
Key Achievements
- Reduced customer acquisition cost by 35%
- Built predictive models with 85% accuracy
- Established data infrastructure and best practices
My Approach
How I transform marketing challenges into data science solutions
Data-Driven Marketing Methodology
1. Problem Definition & Hypothesis Formation
Every project starts with clearly defining the business problem and forming testable hypotheses based on marketing theory and data exploration.
2. Data Collection & Preprocessing
Gathering data from multiple sources (Google Analytics, Search Console, Ads platforms) and ensuring data quality through rigorous preprocessing.
3. Exploratory Data Analysis
Deep dive into data patterns, correlations, and anomalies to uncover insights that inform model development and strategy.
4. Model Development & Validation
Building predictive models using appropriate algorithms, with rigorous validation to ensure reliability and generalizability.
5. Implementation & Monitoring
Deploying solutions with continuous monitoring and iteration to ensure sustained performance improvement.
Example: SEO Performance Analysis Framework
# SEO Performance Analysis Framework
class SEOAnalyzer:
def __init__(self, gsc_data, ga_data, keyword_data):
self.gsc_data = gsc_data
self.ga_data = ga_data
self.keyword_data = keyword_data
def analyze_performance(self):
"""Comprehensive SEO performance analysis"""
# 1. Technical SEO Health Check
technical_issues = self.audit_technical_seo()
# 2. Content Performance Analysis
content_performance = self.analyze_content_performance()
# 3. Keyword Opportunity Analysis
keyword_opportunities = self.identify_keyword_opportunities()
# 4. Competitive Analysis
competitive_gaps = self.analyze_competitive_gaps()
return {
'technical_issues': technical_issues,
'content_performance': content_performance,
'keyword_opportunities': keyword_opportunities,
'competitive_gaps': competitive_gaps,
'recommendations': self.generate_recommendations()
}
def generate_recommendations(self):
"""Generate actionable SEO recommendations"""
# ML-powered recommendation engine
return self.recommendation_model.predict(self.features)Certifications & Credentials
Let's Build Something Amazing Together
Ready to transform your marketing performance with data science? Let's discuss your challenges and opportunities.