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Hi, I'm

My drive as a data analyst stems from a constant desire to learn and apply new skills, particularly in the ever-evolving fields of data and machine learning.

My Journey

My journey into the world of data analysis truly began during my undergraduate studies. While pursuing my BBA, I was introduced to a captivating course: business analytics. This was where I first understood the power of leveraging data and technology to make informed decisions, igniting my passion for the field.

Eager to apply this foundational knowledge, I secured an entry-level data analyst trainee position. This was a pivotal experience, as it quickly evolved into a full-time role. During this hands-on period, I witnessed the incredible depth and practical application of data analysis firsthand. I saw how advanced techniques like machine learning and neural networks were being used to predict complex outcomes, solidifying my determination to master these methodologies.

To deepen my expertise and formalize my skills, I pursued an MSBA degree at UCO. This program provided an immersive and much deeper understanding of critical areas such as DBMS (Database Management Systems) and the practical application of machine learning using both SAS and Python. A highlight of my academic experience was the capstone project, where, under the invaluable guidance of Professor Ho-Chang Chae, my group—affectionately known as the "Saints"—tackled a challenging real-world problem: predicting credit card defaults for Amex, with a specific focus on the influence of immigration status. This project not only sharpened my analytical skills but also underscored the importance of data-driven insights in financial risk assessment.

Beyond my academic curriculum, my passion for data exploration continued. I undertook a personal project analyzing Oklahoma crime rates, meticulously collecting and interpreting ten years of data from the FBI database to identify patterns and trends, showcasing my ability to work with large, complex datasets.

Further demonstrating my practical application of data management, I had the unique opportunity to assist Ceaspay, a FinTech company, which, prior to my involvement, lacked any form of organized data storage or analytical capabilities. I took on the challenge of building their digital presence and data management system from the ground up. This involved creating a comprehensive website and developing its robust backend capabilities using Google Firebase. This crucial project enabled Ceaspay to securely store vital customer data, track agent performance, monitor customer statuses, and empowered customers to create their own access and engage with services directly through the new portal.

Through this comprehensive journey—from foundational education and practical industry experience to advanced academic projects and full-stack data infrastructure development—I have cultivated a robust skill set in data collection, cleaning, analysis, modeling, and visualization. I am now equipped and eager to contribute as a Data Analyst, transforming raw data into actionable insights that drive strategic decisions and solve complex business challenges.

Projects

American Express Credit Card Default Prediction

Predictive Analytics and AI Capstone

Predicted credit card defaults focusing on migrant status. Cleaned and processed data, handling imbalances with under-sampling, and applied ML models like logistic regression, neural networks, and decision trees.

  • SAS E-Miner
  • Python
  • Predictive Modeling
View on GitHub →

CeasPay Web Development

Full-Stack Web Application

Developed a secure portal for a financial services provider. Built the frontend with HTML/CSS/Bootstrap and the backend with Firebase Authentication and Cloud Firestore, including a role-based access admin portal.

  • HTML/CSS
  • Bootstrap
  • Firebase
  • NoSQL
View on GitHub →

Oklahoma Crime Data Analysis

Data Analysis and Visualization

Analyzed 10 years of crime data. Built data pipelines from MySQL to Python for analysis and to Power BI for visualization. Achieved a 0.96 R² with a Random Forest predictive model for spatial trend analysis.

  • Power BI
  • Python
  • MySQL
  • VBA
View on GitHub →

Wholesale Company DB Project

SQL Database Management

Designed and implemented a relational database to manage inventory, customers, and shipping logistics. Created SQL queries to analyze business data and built a schema with primary/foreign keys to ensure data integrity.

  • MySQL
  • Database Design
  • SQL
View on GitHub →

Experience

Data Analyst

HazonTechnologies · Full-time | Aug 2020 - Jul 2022

  • Leveraged advanced statistical modeling and predictive analytics (Regression models) to interpret complex Higher Educational Institution (HEI) datasets, developing data-driven models for forecasting institutional performance and informing accreditation/ranking strategies.
  • Managed the end-to-end data lifecycle, including extracting data from various sources (databases, flat files, web), transforming it to meet requirements, loading it into target systems, and validating data for quality assurance.
  • Created and presented interactive data visualizations and dashboards from assessment reports, helping stakeholders make better decisions for academic quality.

Insurance Agent

Shriram Life Insurance · Internship | May 2020 - Jul 2020

  • Drove sales of insurance products by securing 9 new policies within a three-month period.
  • Conducted thorough needs assessments for over 30 clients to craft customized financial solutions.
  • Mastered customer relationship management techniques to maintain strong client connections.

Project Manager

Green Gang Arts · Part-time | Mar 2018 - Jan 2020

  • Managed relationships with over 50 clients, ensuring satisfaction with custom art projects.
  • Coordinated projects, setting timelines and teaming up with artists to deliver art on schedule.
  • Handled quotes, budgets, and schedules in Microsoft Excel to keep projects on track.

Accounting Intern

John's Business School · Internship | Mar 2019 - Jul 2019

  • Executed precise processing of monthly journal entries, ensuring 100% compliance.
  • Reconciled accounts receivable and payable entries, resolving discrepancies efficiently.
  • Contributed to a collaborative team by providing dependable data support for financial tracking.

Skills

Data & Analytics

Python
SQL / MySQL
Power BI
SAS E-Miner
Tableau
Predictive Analytics
Machine Learning

Web & Development (Basic)

HTML
CSS
Bootstrap
Firebase
NoSQL
VBA

Business & Other Tools

Business Analytics
Digital Marketing
Project Management
Microsoft Excel
Git & GitHub

Education

Master's degree, Business Analytics

University of Central Oklahoma

Aug 2022 - Dec 2024

Bachelor of Business Administration, Business analytics

IBS Hyderabad

2017 - 2020

Let's Connect

I'm currently seeking new opportunities and would love to hear from you. Whether you have a question or just want to connect, feel free to reach out!

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