Vamshi Krishna Thatipamula

1. Analysed software projects for 6 automotive clients, covering 1,000–40,000+ requirements. 2. Applied Use Case Points and Story Points to estimate effort, cost, duration, and resources. 3. Analysed 7 qualification areas, identifying 60–66% lower estimated effort and cost in best-practice vs. average supplier scenarios. 4. Conducted quantitative analyses, cost breakdowns, and risk assessments. 5. Led 3 projects with teams of up to 5, delivering data-driven recommendations.

1. Developed a Logistic Regression model on 9,578 loan records, achieving 84% test accuracy and analysing credit score–interest rate relationships. 2. Conducted statistical analysis and linear regression on 545 hourly wage records to examine wage determinants. 3. Performed EDA on 1,461 weather observations, achieving 81.56% test accuracy with Random Forest. 4. Evaluated 5 classification algorithms on 299 horse-health records, achieving 91.67% test accuracy with Gaussian Naive Bayes.

Overall Grade: 2.0 (German scale) Specialization: Area of Application – Business Analytics, Analysis of Semi & Unstructured Data, Project Management of Big Data Projects, Big Data Analytics, Quantitative Data Analysis, Applied Programming, Leadership & Sustainability Thesis: "Critical analysis of the role of digital technologies in the transition to renewable energies in the private consumer sector"

Overall Grade: 2.0 (German equivalent) Specialization: Power Systems, Electrical Machines, Power Electronics, Control Systems, MATLAB, C programming Project: "Analysis of Voltage Stability and Transient Stability on Wind Generated Power System"