Ismail Ozberk
Data Analyst & Product Strategist
I transform raw data into clear, actionable business decisions. Bringing over 3 years of enterprise experience in statistical modeling and analytics to bridge the gap between complex engineering and product strategy. Currently an M.S. Candidate at Boston College.
About
I am a business and data analyst with over 3 years of experience in enterprise software environments. My journey started in Türkiye, and my curiosity for building impactful products brought me to Boston College, where I am pursuing an M.S. in Applied Analytics (STEM).
I specialize in bridging the gap between complex data and actionable product strategy. Whether it's training machine learning models, leading requirements analysis across the full SDLC, or building customer education programs that reduce support tickets, I focus on delivering elegant, scalable, and user-centric solutions.
Boston College
M.S. Applied Analytics (STEM)
3+ Years
Enterprise Data Analysis
Statistical Analysis
Co-authored Medical Paper
Boston, MA
Open to Relocation
Projects
Featured Work
Applied Statistics: Socioeconomic & Market Analysis
Analyzed CPS wage data and Dow Jones index returns to evaluate income inequality and stock market volatility. Developed descriptive statistical models, identified outliers using IQR methods, and visualized complex distributions to extract actionable insights.
Macroeconomic Time-Series & Financial Trend Analysis
Constructed real (inflation-adjusted) price indices using CPI data and performed comparative GDP productivity analysis via time-series indexing. Applied moving averages and logarithmic transformations to historical stock prices to extract underlying growth trends.
Medical Statistical Analysis Publication
Co-authored a Scopus-indexed peer-reviewed paper in Revista da Associação Médica Brasileira (2023). Conducted comprehensive statistical analysis and logistic regression using R to evaluate sociodemographic characteristics associated with surgical menopause.
Socioeconomic Data Visualization & Regional Price Parity Analysis
Visualized U.S. Census and CDC data to investigate demographic trends and broadband inequality. Modeled purchasing power normalizations across Metropolitan Statistical Areas using the BEA's Regional Price Parity (RPP) index.
Experience
Professional Journey
Business Analyst (Data & SDLC)
Intecon Information Technology & Consulting
- Wrote SQL queries against MySQL and PostgreSQL databases to validate data integrity, investigate user behavior patterns, and produce ad-hoc reports for product teams.
- Analyzed support ticket trends to identify recurring deployment issues, building a customer education program that cut post-deployment support tickets by 20% within 6 months.
- Led requirements analysis for two software teams (8 developers total), turning business needs into technical specs and managing the backlog in Jira.
Industrial Engineer (Process & Data Analysis)
Kipas Holding
- Ran time and motion studies and statistical analysis on production line performance, implementing layout changes that reduced idle time by 8%.
- Built time series forecasting models for demand planning and applied Lean Six Sigma methods to standardize processes.
Education
Academic Background
M.S. in Applied Analytics (STEM)
Boston College
- Coursework: Mathematical Methods for Machine Learning, Data Analysis, AI/ML Software Tools and Platforms.
B.E. in Industrial Engineering
Gaziantep University
- 100% English Curriculum. Built strong foundations in systems engineering, operations research, and statistical analysis.
Certifications
Continuous Learning
Deep Learning Specializations
DeepLearning.AI
- Completed 7 rigorous AI/ML courses with an average grade of 95.8%, including Sequence Models, CNNs, and Hyperparameter Tuning.
- Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (Grade: 99.28%).
Executive Data Science Capstone
Johns Hopkins University
- Applied advanced data science techniques to solve real-world executive challenges (Grade: 95%).
Associate Data Scientist in Python
DataCamp
- Completed an intensive 88-hour career track (#225,749) focusing on Python for data manipulation, statistical modeling, and machine learning.
Contact
Let's build something world-class.
Currently open for internships and full-time opportunities in Data Analysis, Business Analytics, and Product Management.