IT Professional with 1 year of experience . Currently Pursuing Post Graduation in Data Science and Artificial Intelligence at Loyalist College. Extensive experience in developing visually appealing Dashboards using Power BI, Tableau. Expertise in defining Business Logic and implementing SLA's and KPI's using Power BI and Tableau. Excellent interpersonal, communication, problem solving and presentation skills.
Smart Exercise Monitoring System Application using Machine Learning. Nov, 2019 – Arp, 2020 (St.Xavier's College)
Tech stack: HTML, CSS, JavaScript, Firebase, TensorFlow, Mobile Net. St. Xavier’s college
A robust system to identify users, track their exercise in real time, recommend activities based on their experience, and assist users in maintaining excellent posture without distractions. The project’s basic idea was to utilize a video of someone completing an exercise as input, process the video, and then inform the user if they are performing the exercise correctly.
Medical Insurance Fraud Detection Using Big Data Analytics. Jan, 2018 – Apr, 2018 (St.Xavier's College)
Tech Stack: Python (Pandas, NumPy, Matplotlib),SQL, Feature Engineering.
An innovative data science model to predict fraud in the medical insurance industry by utilizing real-time analysis and categorization. The government may use this instrument to address healthcare costs, combat fraud, and establish industry confidence, all of which will benefit patients, pharmacies, and doctor.