Vineet Venkata Kalluri Email & Phone Number

United States

Arlington, Texas, United States

I worked as a Residential Assistant (an On Campus Part Time Job) at Centennial Court Apartments, Campus Living Villages.

Hyderabad, Telangana, India

Hyderabad, Telangana, India

-- Analyzed large transaction datasets by cleaning and preprocessing using SQL and Python to identify key risk indicators, and assisted in creating automated Tableau reports that provided insights into potential vulnerabilities. These reports were instrumental in reducing identified risks by 20%.-- Maintained detailed documentation of risk analysis processes and findings. This documentation played a key role in process improvement, streamlining risk assessment procedures, and improving overall efficiency by 20%.-- Assisted in integrating machine learning models to predict and forecast risks in various scenarios, including server load and identity access management. This initiative resulted in a more precise risk assessment, enhancing overall system resilience by 15%. -- Utilized statistical and data mining techniques such as logistic regression to analyze operational risk data, identify fraud events, and predict potential risk events.-- Created analytical dashboards using advanced Tableau metrics (LODs, sets, groups) to visualize key risk metrics, making it easier for stakeholders to understand and act on the data. These dashboards contributed to a 30% reduction in response time to critical risk alerts. -- Demonstrated strong analytical and problem-solving skills by transforming complex fraud detection data into actionable insights and presenting them clearly and concisely to both technical and non-technical stakeholders, improving decision-making efficiency by 30%. -- Delivered exceptional production and technical support by handling escalations, using Root Cause Analysis, and collaborating with cross-functional teams. Reduced average resolution time by 20% and enhanced client satisfaction.

Hyderabad, Telangana, India

-- Applied business analysis techniques in an end-to-end payroll project management with a team of 3, identifying requirements that aligned with project goals and incorporating SDLC techniques, such as Agile methodologies.-- Developed and maintained robust databases using advanced SQL queries, including complex joins and window functions, to process and analyze large sales datasets. This analysis identified top-performing software features and profit margins, contributing to a 15% improvement in product development.-- Conducted data analysis by analyzing large HR data including demographics, performance, departments, and salary. Utilized Excel for data cleaning and Python libraries such as NumPy, Pandas, and Scikit-learn for in-depth analysis, identifying trends, patterns, and correlations in HR KPIs that contributed to a 10% overall growth in business performance.-- Utilized business intelligence tools such as Power BI to create data models and data solutions by analyzing market trends and competitor data by leveraging Power Query for data manipulation and DAX for custom calculations.-- Created an interactive Power BI dashboard that showed strategic recommendations and helped in enhancing business strategies on new feature additions and optimized pricing strategies for existing features, resulting in a 12% increase in revenue growth opportunities. -- Demonstrated strong communication skills by gathering requirements and translating them into technical solutions using data modeling techniques in collaboration with product managers and leads, resulting in the successful delivery of 8 major projects.

Master Of Science - Ms, Computer Science, 3.92/4 Cgpa

Courses: DBMS Models and Implementation Techniques Data Analysis and Modeling Techniques Distributed Systems Design and Analysis.

Bachelor Of Technology - Btech, Computer Science, 3.7/4.0

High School