BLE Sync Cycle is a Go application designed to synchronize video playback with real-time cycling data from Bluetooth Low Energy (BLE) devices, such as cycling speed and cadence (CSC) sensors
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Updated
Jul 12, 2026 - Go
BLE Sync Cycle is a Go application designed to synchronize video playback with real-time cycling data from Bluetooth Low Energy (BLE) devices, such as cycling speed and cadence (CSC) sensors
Forage's JP Morgan Chase Software Engineering Virtual Experience
Quantium virtual internship program hosted by InsideSherpa
Quantium Virtual Experience Program hosted by Forage
This work done in virtual Experience of ANZ cyber security program. This internship is given by insidesharpa e-learning platform.
This is "Engineering: Undergraduate & Masters Asia virtual experience program" completed with Insidesherpa e-learning platform.
virtual experience framework.
This repository contains my solutions and projects developed as part of the Walmart USA Advanced Software Engineering Virtual Experience.
Deloitte's Virtual Experience (VE) Program offers students a platform to explore and develop skills in cyber technology, forensic investigations, data analytics, platform engineering, and coding. The program empowers participants to shape their own career paths and provides a glimpse into the exciting opportunities available at Deloitte.
Repository to document the work done during Goldman Sachs Virtual Experience
Forage's JP Morgan Chase Software Engineering Virtual Experience
Completed Tata iQ’s GenAI-Powered Data Analytics Virtual Experience Program — focused on EDA, predictive modeling, stakeholder communication, and AI-driven automation using GenAI tools.
Data analytics project from Deloitte Virtual Experience analyzing factory downtime and workplace equality using Tableau and Excel.
Artificial_Intelligence_Virtual_Experience
PwC PowerBI-Dashboard Experience from Forage.
Data science analysis of BA Terminal 3 lounge operations — modelled passenger eligibility across 3 tiers on 50k+ flight records. Revenue model projecting £262.8M annual profit with predictions within 3% of actual BA data. 6-panel Matplotlib/Seaborn dashboard + multi-sheet Excel reporting workbook.
Binary classification pipeline predicting flight booking completion on 50,000 customer records (0.62 recall · 15% class imbalance). 8 engineered features, SMOTE oversampling, Random Forest + XGBoost tuned via GridSearchCV. Booking origin = 34% feature importance. Projected 5–10% conversion lift.
This portfolio serves as a window into my professional endeavors, highlighting key achievements and showcasing my dedication to Cybersecurity.
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