🎯 Data Analyst | Machine Learning Enthusiast | BI Developer | Researcher

I’m a Master’s student in Data Analytics at Kansas State University, passionate about transforming complex datasets into clear, actionable insights. My work blends machine learning, data visualization, and cloud-based analytics, driving smarter decisions through data-driven storytelling.

• M.S. in Data Analytics (Aug 2024 – May 2026)
  Kansas State University, Manhattan, KS
  GPA: 3.83 / 4.0

• B.Tech in Computer Science Engineering (AI & ML) (Oct 2020 – Apr 2024)
  Sri Indu College of Engineering and Technology, Hyderabad, India
  GPA: 3.4 / 4.0

Aug 2024 – Present | Manhattan, KS

• Developed interactive Streamlit dashboards for 20+ faculty, providing real-time research insights.
• Analyzed 10,000+ agricultural forecasting records, identifying yield trends that informed key farm decisions.
• Managed and validated 50K+ agronomy data points, ensuring integrity for 10+ ongoing research projects.

Jan 2025 – May 2025 | Kansas State University

• Directed end-to-end project delivery with 3 team members, completing all milestones on schedule.
• Delivered 10+ strategic insights via data dashboards, improving client operational efficiency by 15%.
• Presented analytical findings to stakeholders, enhancing communication and accelerating data-driven actions.

Tableau, Power BI, Python, Storytelling

• Built 6 interactive Tableau dashboards exploring U.S. inflation trends by region and commodity.
• Applied time-series analysis to identify seasonal and long-term patterns in market prices.

Tableau, Power BI, Excel, Python

• Designed geospatial dashboards analyzing 5,000+ seismic events for disaster planning.
• Enhanced self-service analytics by 30% through intuitive visualization and drill-down filters.

Python, NLP, Tableau, Machine Learning

• Processed 5,000+ alumni survey responses using NLP-based sentiment analysis.
• Created predictive models and dashboards to optimize engagement and outreach campaigns.

Python, TensorFlow, OpenCV, Streamlit

• Engineered CNN pipelines for real-world image restoration, improving efficiency by 25%.
• Deployed GPU-accelerated workflows for medical and archival image colorization.

Languages: Python, SQL, R, C
Libraries/Frameworks: Pandas, NumPy, Scikit-Learn, TensorFlow, Keras, OpenCV, Seaborn, Matplotlib
Machine Learning: Regression, Classification, NLP, Forecasting, Predictive Modeling, Model Evaluation
Visualization & BI Tools: Tableau, Power BI, Streamlit
Platforms & Tools: Databricks, AWS, Docker, Git, Jupyter, CI/CD Pipelines

• English — Professional
• Hindi — Fluent
• Telugu — Native

• Lean Six Sigma Yellow Belt – Kansas State University
• Data Analysis with Python – IBM
• Introduction to Data Science – Infosys
• SQL Essential Training – LinkedIn Learning
• Python Object-Oriented Programming – LinkedIn Learning
• Python Basics – IBM

📄 A Survey on Large Language Models: Overview and Applications
International Research Journal of Engineering and Technology (IRJET), June 2024
Read Paper

🔗 LinkedIn
🔗 GitHub
🔗 Portfolio
📧 [email protected]

💬 “Turning data into stories that drive decisions.” 🚀