Problem

Traditional manual processing of financial documents, such as bank statements, was time-consuming and error-prone, impacting efficiency in financial workflows.

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Solution Approach

Developed an OCR-based solution using machine learning models to parse both scanned and digital PDFs, extracting structured data with high accuracy. This automation reduced processing time significantly, enabling faster decision-making for financial institutions.

Problem

Property valuations were inconsistent due to varying data quality and human subjectivity, creating challenges for buyers and sellers in assessing fair market value.
 

Solution Approach

Developed a linear regression model with data preprocessing techniques to handle missing values and categorical encoding. The model accurately predicted housing prices, making the valuation process more reliable and data-driven for stakeholders.

Problem

Client service teams needed a user-friendly way to analyze conversation insights generated by language models, to improve customer service quality and operational efficiency.
 

Solution Approach

Created a visualization platform that organized transcripts, key insights, and conversation metrics in an intuitive format. Leveraging AWS and FastAPI, the solution provided interactive, on-demand access to detailed analytics, empowering teams to make data-informed improvements.

Problem

Managing diverse operations data across departments was challenging, as data was scattered across multiple systems with limited integration and visibility.

Solution Approach

Developed a unified management information system (MIS) dashboard that consolidates key performance indicators, visualizations, and operational insights. Using Python and Golang, this system facilitated real-time monitoring and enhanced decision-making for operational managers.

Problem

Legacy applications were limited in scalability and functionality, hindering the client’s ability to meet modern performance demands.
 

Solution Approach

Conducted a comprehensive assessment of existing systems and migrated critical components to a cloud environment using Microsoft Azure. By modernizing the backend with scalable cloud architecture, the solution improved application performance and future-proofed the client’s infrastructure.

Problem

A client needed to determine if targeted outreach could increase enrollment rates for their educational programs.
 

Solution Approach

Conducted A/B testing and statistical analysis using chi-squared tests to evaluate the impact of outreach emails. The data-driven insights enabled the client to refine their marketing strategy, resulting in improved engagement and enrollment numbers.