Data Analytics Professional

Khyathi Lakshmi Sri Ghantasala

**** *********** **,******,** *************@*****.*** 572-***-**** EDUCATION

University Of Central Oklahoma Edmond

MS. Business Analytics 2024-2025

Vignans University Guntur

Bachelor Of Business Administration 2020-2023

WORK EXPERIENCE

Assistant Operations Manager (Internship), Hyderabad Central Mall (06/2022-08/2022) Hyderabad, India

• Performed advanced analysis on operational and credit-related data to identify key drivers and improve decision accuracy.

• Built end-to-end analytics workflows including data cleaning, EDA, validation of assumptions, and reporting.

• Delivered actionable insights by aligning business attributes with customer behaviour and operational objectives.

• Communicated findings through clear documentation and audit-ready analytical deliverables. Marketing Analyst Intern, University of Central Oklahoma, (08/2025-12/2025) Edmond, USA

• Analysed marketing and digital performance data to evaluate campaign effectiveness and support business analytics.

• Built dashboards and structured deliverables to communicate actionable insights to stakeholders.

• Conducted EDA to identify trends, deviations, and optimization opportunities. PROJECTS

Enhancing Credit Card Default Prediction Using Feature Engineering and Machine Learning

• Built and evaluated machine learning algorithms to improve prediction accuracy using real-world financial datasets.

• Developed end-to-end data science pipelines including data preprocessing, feature engineering, covariate analysis, and model development.

• Conducted analytical evaluation to derive insights supporting risk assessment and forecasting. Walmart Sales Performance Dashboard: A Data-Driven Analysis

• Applied data analysis and forecasting techniques to study customer purchasing behaviour, seasonal trends, and economic factors.

• Cleaned, organized, and analysed enterprise-scale datasets to generate business insights.

• Delivered insights through dashboards and documented findings for decision-making support. Dynamic Behavioural Feature Engineering and Cluster-Specific Predictive Modelling

• Applied advanced analytics and algorithmic modeling to characterize customer behavior and dependence patterns.

• Derived and communicated insights through structured documentation and stakeholder-ready summaries.

• Improved model performance through iterative analysis and insight-driven refinement.

• Analysed large datasets to develop accurate insights, documenting methods and findings to ensure clarity and repeatability. SKILLS & CERTIFICATIONS

Technical Skills:

• Data Analysis, Statistical Modelling, Machine Learning Algorithms

• End-to-End Analytics Development

• Accuracy Evaluation, Model Performance Metrics

• Python, SQL, Excel, Power BI

• SAS Studio, SAS Enterprise Miner, SAS Viya, SAS Visual Analytics

• Documentation and Technical Communication

Certifications

• SAS Certified Predictive Modeler Using SAS Enterprise Miner 14

• SAS Certified Specialist: Machine Learning Using SAS Viya

• Logistic Regression Using SAS: Predictive Modelling and Classification

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