Gagandeep Singh is a computer science graduate seeking opportunities in data science and machine learning. He has experience with tools like OpenCV, TensorFlow, Pandas and certifications from Coursera in computer vision, data visualization and machine learning. Gagandeep completed an AI and ML internship where he worked on CNNs, regression, clustering and has personal projects in plant classification, web development and fake news detection using techniques like word embeddings. He is proficient in Python, C++ and web skills with interests in coding competitions and soccer.

1. Name : GAGANDEEP SINGH Email: Gagan707@outlook.com
Linkedin : linkedin.com/in/gagandeep-singh-109a8a153 Mobile No : +91-700-909-3819
Github : github.com/gagandeep7 Address : Jalandhar, Punjab
Academic Educa on :
CT Group of Ins tu ons,Jalandhar ,Punjab : B.Tech(Computer Science Engg) 2017-2021*
Percentage : 82%
Jalandhar Public School : 12th
(CBSE) 2017
Percentage: 88%
Jalandhar Public School : 10th
(CBSE) 2015
CGPA : 7.6
Cer fica ons:
▪ University of Michigan, Pillow, tesseract and opencv : (August 2019),Coursera
This course was instructed by the University of Michigan. I have learned tools like opencv, tesseract and
pillow to do image manipula on and text recogni on
▪ Understand and Visualizing data with Python : (October 2019),Coursera
This course was instructed by University of Michigan.I have learned libraries like pandas for data
manipula on, seaborn for visualizing and sta s cal concepts for understanding the raw data.
▪ Machine Learning , Stanford University: (December 2019),Coursera
I have Learned Fundamentals of Machine Learning and working of ML algorithms
Work Experience:
▪ ExpertsHub, Delhi NCR ( ML –AI Internship ) : Jun.2019-Jul.2019
This internship was conducted by Expertshub in Delhi. Here the mentors were Mr.Biplab and Mr.
Karthick who are working ac vely in the field. I have worked there on cu ng edge technologies of
Machine Learning and AI. Some of the tools and algorithms I worked on were – CNN (Convolu on
Neural Network), Google Colab, Linear Regression, Logis c Regression and SVM.
Technical Skills:
▪ Data Science: Numpy ,Pandas , Matplotlib , OpenCv , Keras , Scipy
▪ Programming Languages: Python , C++, Javascript
▪ Web Development : HTML/CSS, Bootsrap4, Flexbox ,Gri ,Jquery Node.Js,Express.Js,SQL
▪ Efficiency in Basics Data Structures and Algorithms.
Projects :
▪ Plant Seed Classifica on (Kaggle): A CNN based classifier for the Plant Seedlings Classification using
tensorflow The classifier classifies the images into 12 plant species .
▪ Museum Of Candy : A Responsive webpage created using Bootstrap4 and CSS.
▪ Color Game : A Javascript based applica on predict the given color using RGB random values
▪ Fake News Detec on (Kaggle): A NLP based detec on of the fake news using LSTM and Word2vec
using keras and scikit learn.
Awards and Honors :
▪ Ptu Youth Fes val ( Quiz ) : Our team won Gold medal at Zonal and Bronze at Inter Zonal of Youth Fest
▪ Festember (Code Relay): In this event two people have to code different problems . Our team got 1st
Interests and Hobbies:
▪ Par cipa on in coding events, Reading,Soccer