Abhishek Singh

Hey, My name is Abhishek Singh

A Data Scientist with almost three years of experience in Pharmaceutical and Architectural domain. Created AI Search Engine for Architects which reduce their work from a day to just a minute. Forecasted how long pharmaceutical companies should run their advertisements and what should be financial investment in various channel (social media, banners, television, calls, meetings, etc.). to run the advertisements so that the advertising is most effective.

About Me As a data scientist, I'm basically a detective who's really good at solving mysteries...except my mysteries involve finding insights in data rather than figuring out who stole the cookie from the cookie jar.

Get to know me!

I am a data scientist with almost 3 years of experience in the pharma and architect domains. My expertise includes statistical analysis, programming, and data visualization, and I excel in leveraging data to drive informed decision-making. I am skilled in machine learning algorithms and predictive modeling, which allows me to uncover valuable insights and trends from complex datasets.

Contact

My Skills

Python
Keras
TensorFlow
PyTorch
SQL
Mongo DB
Computer Vision
NLP
Docker
MLOps
Machine Learning
Deep Learning

Projects

Snapchat Filter Using OpenCV

OpenCV, a popular computer vision library, can be used to create custom Snapchat filters by detecting and tracking facial features such as eyes, nose, and mouth, and applying digital effects or masks in real-time.

Github

Deep Sort Tracking Using YOLOv3

DeepSORT (Deep Simple Online Realtime Tracking) is an algorithm used for object tracking in videos, and when combined with YOLOv3 (You Only Look Once version 3) object detector, it can accurately track objects in real-time by detecting their position, speed, and trajectory with high precision and low latency. This combination is widely used in applications like traffic monitoring, surveillance, and autonomous vehicles to provide reliable tracking information.

Github

Sign Language Generation Using Yolov5

Sign language generation using YOLO v5 involves training a deep learning model on sign language gestures and detecting them using object detection algorithms. The detected gestures can then be translated into sign language using natural language processing techniques to provide a real-time communication solution for the hearing impaired.

Github

Movie Recommender System

A movie recommender system is a computer program that suggests movies to users based on their preferences and viewing history. It uses machine learning algorithms to analyze patterns in user data and provide personalized movie recommendations.

Github

Contact If you're interested in collaborating on a project or discussing my work, please feel free to contact me at isingh.abhishek10@gmail.com.