Dedicated and results-driven professional holding a Master's in Artificial Intelligence from the esteemed University of North Texas. Known for adeptly leveraging a robust educational background to champion innovation and deliver high-impact solutions. Seasoned as an Application Development Associate at Accenture, with a proven track record of making substantial contributions to dynamic projects spanning multiple locations. Proficient in a range of programming languages, scripting languages, and the Microsoft Power Platform, showcasing a keen interest and expertise in Artificial Intelligence and Machine Learning. Committed to staying at the forefront of technological advancements and driving excellence in every endeavor.
Programming Languages: C, C, C#, Java, Python
Scripting Languages: HTML, CSS, Javascript
Microsoft Power Platform: Power Automate, Power BI, Power Portals, Power Virtual Agents, Model Driven Applications
CRM: Microsoft Dynamics 365
Databases: MYSQL, Oracle
MS Portals Power Portals, CRM Dynamics 365
Experienced Web Developer adept at designing webpages with Power Portals, integrating CRM data through Rest API and JavaScript. Proficient in PowerApps Portals for streamlined development of interactive portal pages.
Duplicate Record Detection PowerApps, CRM Dynamics 365
Developed a canvas application to find the duplicate records from the given dataset. Built a canvas application and connected to CRM for data and identified the duplicates using the canvas formulae.
Auto – Claim Car Insurance
Using Image Processing Image processing, Computer vision Engineered automated car insurance claims using computer vision, image recognition, and machine learning, ensuring precise and efficient assessment. Led the coding and integration of computer vision algorithms, collaborated on image recognition features, and contributed to the holistic system design.
Fake Product Review Monitoring System Machine Learning, Natural Language Processing, Data Analysis
Led the development of a text mining system for online review detection, utilizing both semi-supervised and supervised models to combat manipulation. Employed advanced techniques on a hotel review dataset to enhance the integrity of online product reviews.
Customer Stress Prediction in Telecom Industry Machine Learning
Led a telecom project using predictive analytics and machine learning to predict customer stress, applying data-driven insights for improved customer satisfaction and proactive issue resolution.