Abhilash Dikshit

Real time object detection using yolov9 and supervision

Showcases real-time object detection using YOLOv9 model in Raspberry Pi, coupled with Supervision for annotating detected objects on security camera feeds. The system generates real-time logs in nested JSON format, detailing object counts with respective timestamps, and implements a priority system to flag objects based on predefined criteria.

Transit Poverty: Leveraging AI to Transform Transportation

Implemented YOLO v9 (You Only Look Once) to count incoming traffic for intersections in real-time and predict the arrival time based on vehicle speed to control traffic signal using V2X technology.

TransLink, Deloitte ThinkTECH Hackathon 2023

Won 1st prize in a competition among various universities like UBC, SFU and NEU on TransLink's smart transportation challenges.

Movie Recommender System

Developed a user-friendly movie recommendation system using Python's LightFM library, combining collaborative filtering and hybrid techniques. Engineered features, trained models, and deployed the system as an intuitive web application for personalized movie suggestions.

Resume Building Analytics Using AI
(Sponsered By CoverQuick)

Leveraged Python for data analysis, cleansing, and visualization, enabling data-driven insights in a comprehensive report. Employed Tableau for dynamic visualizations, optimizing cover letter and resume creation.

Airbnb New York Analysis

Cleaned and visualized a large Airbnb dataset, conducted hypothesis testing and statistical analysis using R language, and built interactive Tableau dashboards to grasp complex data insights effortlessly, and for actionable insights.

MySQL Design and Implementation

Designed and implemented a MySQL database system based on the requirements outlined in the provided reports: ERD Report, Week 2 Report, and Week 3 Report. This involved creating the database schema, defining relationships, and ensuring data integrity.

Online Payment Fraud Detection

Developed an advanced Online Payment Fraud Detection system, meticulously cleaning and visualizing extensive datasets. Leveraged Python for hypothesis testing and created actionable insights through Tableau dashboards.

Churn modelling In Finance Sector

Analyzed customer churn in the banking industry. Using R, conducted comprehensive data cleaning and visualization, performed hypothesis testing and statistical analysis providing valuable insights into customer retention strategies.

Choosing the Right Statistical Test: A Guide for Researchers

Top 50 SQL Interview Questions For Data Analyst/Scientist Role

Top 20 Tableau Interview Questions for Data Analyst/Scientist Role