Vamshi Krishna Korutla
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Academic Excellence

Master's in Data Analytics with specialized focus on biotech applications, machine learning, and predictive modeling. Bridging the gap between cutting-edge data science and life sciences innovation.

🧬 Biotech Analytics 📊 Data Science 🤖 Machine Learning
Northeastern University, Portland, ME
Completed
Course 1

Introduction to Analytics (R)

Gained comprehensive knowledge in analytics using R programming, covering data wrangling, exploratory data analysis, statistical modeling, and visualization techniques essential for biotech research.

R Programming Data Wrangling EDA Statistical Modeling ggplot2
Completed
Course 2

Database Management Systems

Collaborated on a real-world project with a clinic in New Jersey, analyzing sleep health data using advanced SQL techniques to explore correlations between sleep patterns and health metrics.

SQL Advanced Healthcare Data Team Project Clinical Analytics Data Mining
Completed
Course 3

Probability Theory and Statistics

Strengthened statistical foundations including probability distributions, sampling theory, central limit theorem, hypothesis testing, and confidence intervals for robust biostatistical analysis.

Probability Hypothesis Testing Biostatistics Statistical Inference Central Limit Theorem
Completed
Course 4

Intermediate Analytics

Advanced statistical modeling including multiple regression, ANOVA, chi-square testing, and model selection techniques for sophisticated data-driven decision making in research environments.

Regression Analysis ANOVA Model Selection Advanced Statistics Research Methods
Completed
Course 5

Communication and Visualization

Team collaboration analyzing Netflix streaming data, creating interactive dashboards and compelling visualizations using Tableau and Python to communicate complex insights to stakeholders effectively.

Tableau Data Storytelling Python Viz Power BI Netflix Analysis Team Leadership
Completed
Course 6

Introduction to Enterprise Analytics

Extensive use of Microsoft Excel for business analytics, including pivot tables, scenario analysis, and sophisticated data models for enterprise-level decision making in biotech and pharmaceutical industries.

Excel Advanced Business Intelligence Pivot Tables Enterprise Solutions Financial Modeling
Completed
Course 7

Python and Analytics Technology

Developed machine learning classification models in Python, including a comprehensive predictive model for diabetes diagnosis using advanced ML algorithms and data preprocessing techniques.

Python Machine Learning Healthcare ML Predictive Modeling scikit-learn
View GitHub Project
Completed
Course 8

Data Mining Applications

Working with large-scale Yelp datasets, implementing advanced analytics, real-time dashboards, and AI-powered insights for business intelligence and predictive analytics in service industries.

Big Data Yelp Dataset AI Integration Real-time Analytics NLP
Completed
Course 9

Experiential Learning Project

12-week intensive collaboration with Wyman's Blueberries (major US producer) on market analytics and product strategy for new protein blend launch, applying comprehensive business analytics to agricultural biotechnology.

Industry Partnership Market Analytics Product Strategy AgTech Business Impact
Completed
Course 10

Predictive Analytics & Machine Learning

Advanced predictive modeling course focusing on building and evaluating machine learning models. Weekly hands-on projects covering regression techniques, classification algorithms, model selection, and performance optimization for biotech applications.

Linear Regression Logistic Regression K-NN Algorithm Model Evaluation Feature Selection Cross-Validation Biotech ML R & Python
Academic Presentation

Program Mastery

80% Complete - Expected Graduation: June 2026

10
Courses Completed
4.0
GPA Excellence