Vamsi Ananth Raj Kumar Routhu

"Passionate data science graduate student with strong skills in data integrity, statistical analysis, and impactful visualizations. Eager to contribute to technology-driven solutions, collaborating with cross-functional teams to deliver quality technical solutions aligned with business needs."

• Python Programming, 04/2022 - 09/2022
• Essential Statistics for Data Analysis, 06/2022 - 01/2023
• Hands on Tableau training for Data Science, 02/2023 - 06/2023
• AWS Data Engineering Certification Course(Pursuing)

On-the-Spot Award(02-May-2023)

Received recognition for exceptional contributions to the organization, demonstrating outstanding performance and dedication in the project. This award highlighted the ability to deliver high-quality results and make impactful contributions to the team and overall organizational goals.

Investigating the Miami Real Estate Market (Data Analysis and Regression)

• Developed Predictive Models: Led the creation of advanced predictive models for estimating house prices in Miami, leveraging machine learning algorithms to achieve high accuracy and reliability.
• Optimized Feature Engineering: Applied sophisticated feature engineering and data preprocessing techniques, resulting in a marked improvement in model performance and prediction accuracy.
• Strategic Insights for Stakeholders: Delivered actionable insights that guided strategic pricing and investment decisions, directly influencing market positioning and profitability.

Global Suicide Rates Visualization (Data Visualization)

• In-Depth Global Analysis: Conducted a comprehensive analysis of global suicide trends from 1985 to 2016, using a robust dataset to explore the impact of demographic and socioeconomic factors.
• Expert-Level Data Visualization: Designed and executed advanced visualizations, including interactive maps and dynamic charts, to uncover patterns in suicide rates across age groups, genders, and income levels.
• Public Health Impact: Provided critical insights that highlighted key risk factors, supporting evidence-based policy recommendations and contributing to the global discourse on mental health and suicide prevention.