Business Analyst Accounts Payable

Sai Geethika Nalluri

+1-720-***-**** ********.*********@*****.*** https://www.linkedin.com/in/geethikanalluri/ Education

University of Colorado Denver Denver, Colorado

Master’s in Business Analytics Aug 2024 - present

Gandhi Institute of Technology and Management Hyderabad, India Bachelors of Business Administration Aug 2020 - May 2023 Experience

Graduate Teaching Assistant Jan 2025 – present

University of Colorado Denver Business school Denver, Colorado

• Assist the professor with preparing instructional materials, grading assignments, managing exams, and providing feedback to students to enhance their learning experience

• Conduct study sessions, answer student queries, and clarify course concepts during office hours or discussion forums to foster understanding and academic growth

Student Assistant- Accounting Technician Feb 2025 - May 2025 ACCORDS (Health Services Research) Denver, Colorado

• Accurately process vendor invoices and purchase requisitions through CU Marketplace, the University of Colorado’s procurement platform, ensuring proper account coding, supporting documentation, and timely submissions.

• Monitor status of transactions, resolve discrepancies with vendors and internal departments, and ensure compliance with university procurement policies.

• Maintain and update a detailed Excel-based task tracker to monitor the status of financial transactions, approvals, and outstanding action items across the team.

Finance Intern Jan 2024 – June 2024

People Tech Group Hyderabad, India

• Played a key role in budgeting and forecasting activities, including preparing financial summary reports and maintaining accounts payable and receivable. Conducted cost analysis to support production activities and ensure financial efficiency.

• Developed comprehensive financial visualizations, enabling the company to understand financial trends better and make more informed decisions.

Business Analyst Intern July 2023 – Nov 2023

EIDIKO Systems Integrators Hyderabad, India

• Used tools like Tableau to visualize complex datasets and uncover meaningful insights for decision-makers, creating interactive dashboards and reports.

• Skill Enhancement: Developed expertise in data analysis, problem-solving, and teamwork, applying theoretical knowledge to gain hands-on experience in business analysis Data Science Intern Sept 2022 - June 2023

HITECH CNC Technologies Hyderabad, India

• Leveraged Tableau to analyze historical inventory data, predict future needs, and create visualizations. This enabled the company to identify trends and make informed stocking decisions.

• Implemented strategic inventory management processes that resulted in a 25 percent reduction in carrying costs, improving overall efficiency and profitability.

Projects

Netflix Insights: Content Strategy and Audience Trends -Data Analysis

• The main objective of this project was to analyze Netflix’s content library to uncover patterns, audience preferences, and factors influencing user ratings, providing actionable insights to optimize content strategies and enhance viewer satisfaction.

• Employed techniques like data preprocessing (Pandas, NumPy), sentiment analysis (TextBlob), clustering

(K-Means), genre analysis (matplotlib) and correlation analysis (Seaborn, pandas).

• Time-series analysis (Prophet) and predictive modeling (Random Forest, Logistic Regression) were used to explore trends, audience preferences, and user churn, providing actionable insights into Netflix’s content strategies. Denver Non-Airline Revenues - Data Analysis

• The objective of this project is to perform Exploratory Data Analysis (EDA) using the DCOVA framework on Denver Non-Airline Revenues data. The goal is to extract key insights and features from the dataset without preconceived assumptions. This involves defining the analysis scope, collecting and organizing the data, addressing missing values, and visualizing relationships between variables to uncover significant correlations and patterns, providing a deeper understanding of the data

• The project employed data cleaning (Pandas, NumPy), visualization (Seaborn, Matplotlib), correlation analysis

(durbin-watson, k-fold methods), and feature extraction. Time-series forecasting was performed using the SARIMA model to analyze seasonal trends and predict future revenues. AI-Powered Personalized Financial Planning Assistant for Young Adults

• Developed an AI-powered financial planning assistant tailored for young adults, providing personalized budgeting, savings, and investment recommendations based on user profiles and financial goals.

• Implemented a dynamic financial health dashboard using machine learning to visualize spending trends, track progress towards goals, and offer actionable insights for improved financial well-being.

• Integrated educational resources on personal finance, creating personalized learning paths to enhance user understanding of key financial concepts like credit scores, tax planning, and investing Measuring the Impact of Digital Payment Systems on Small Business

• Surveyed 50 small business owners to analyze the impact of digital payment systems. Found that the majority of respondents observed an increase in profits, demonstrating the technology’s positive impact on business efficiency and cost reduction.

• Collected data on the security features of various digital payment methods, including tokenization, encryption, and SSL, and evaluated customer satisfaction through survey responses. Concluded that digital payment systems provided higher payment security and better customer convenience, as 70 percent of respondents found the technology reliable and user-friendly.

• Analyzed survey responses from small business owners to identify the extent of digital payment usage and the perceived reliability of the technology. Discovered that all surveyed business owners used UPI technology for accepting digital payments, highlighting its widespread adoption and perceived reliability, contributing to its success in urban India.

Technical Skills

Programming Languages: Python, R, SQL, Bash

Database Management Systems: MySQL, PostgreSQL, MongoDB Machine Learning AI: Scikit-Learn, TensorFlow, PyTorch, XGBoost, Prophet, SARIMA, NLTK, SpaCy, TextBlob Data Analysis Visualization: Pandas, NumPy, StatsModels, Tableau, Power BI, Matplotlib, Seaborn, Plotly Cloud Big Data Technologies: AWS, Google Cloud Platform, Azure Version Control CI/CD:Git, GitHub Actions, Docker, Jenkins Soft Skills: Organizing, Time Management, Leadership, Communication, Problem-Solving, Team Collaboration Certifications

Introduction to Operations Management - University of Pennsylvania Supply Chain Operations – Rutgers University

Financial Markets – Yale University

Marketing Analytics – University of Virginia

Linear Regression for Business Statistics – Rice University Financial Accounting Foundations – University of Illinois Economics of Money and Banking – Columbia University Introduction to Data Analysis using Excel – Rice University Masters Program in Data Analytics Certificate – Simplilearn Business Analyst Certificate – MyCaptain

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