1. Raja Ram Sharma
Researcher | Developer |community
Leader
rajaramsharma422@gmail.com
8077947908
New Delhi, India
pixomskynet.com
linkedin.com/in/waazid
github.com/rajaram-xd
EDUCATION
2017 – Present
Bachelors in Technology (CSE)
Galgotias University
CCPA - 7.58 (out of 10)
current in 4th semester
2014 – 2016
Intermediate
S.B.V Ramesh Nagar, New Delhi
CBSE, New Delhi - 74.20%
2012 – 2014
Matriculation
K.C. High School Patsa, Bihar
BSEB, Patna - 72%
PROJECTS
Movies Recommender System
build it with two different Deep Learning models. first model is
Deep Belief Networks, complex Boltzmann Machines . Then
second model is AutoEncoders, Work on a dataset that has
exactly the same features as the Netflix dataset : final
Recommender System will be able to predict the ratings of the
movies the customers didn’t watch. Accordingly, by ranking the
predictions from 5 down to 1, Deep Learning model will be able
to recommend which movies each user should watch.
Convolution Neural Networks for Image Recognition
Convolutional Neural Network that is able to detect various
objects images.Implemented Deep Learning model to recognize
a cat or a dog in a set of pictures. take a picture of cat or dog,
and this model predict which pet you have. We even tested it
out on my friend’s dog.
Churn's predict Model
Churn's prediction is a great asset in the business strategy for
the retention applying before the exit of customers. A real
model with python, applied on a bank environment. this model
gives us the customer is going or not to exit from the bank. it
includes keras backended with tensorflow library.
Fraud Detection
Unsupervised Deep Learning Models detecting fraud in credit
card applications. Created Deep Learning model for a bank on a
dataset that contains information of customers applying for a
credit card. This is the data that customers provided when
filling the application form. detected potential fraud within
these applications. who potentially cheated on their
applications.
Mobile Hospital Application -Team Work (01/2019)
A Team Work in Paytm Build For India at IIT Delhi. Create online
medical information via Android App for the tier2 and teir3 city
to find a right doctor and Hospital behind him also includes a
anonymous chatbot for the private problem.
SKILLS
Python Java C/C++ Android Studio
Deep Learning Tensorflow Keras Pytorch
Image-Processing anaconda
ACHIEVEMENTS
Paytm Build For India hackthon
EXTRA CURRICULAR ACTIVITIES
Microsoft Student Partner
Active community member at MSTC, Delhi NCR
team Member - Frontbench.xyz
A community working to enable empower enlighten those student who
does not access to right guidance and mentor-ship.
CERTIFICATES
Deep Learning A-Z™: Hands-On Artificial Neural
Networks
Udemy
The Complete Android Masterclass
Udemy
Paytm Build for India Hackthon
Paytm
CCNA Training
Network Bulls -Gurgaon, India
CapGemini Tech Challenge (10/2018)
CapGemini
Angular
Internshala
LANGUAGES
English
Full Professional Proficiency
Hindi
Full Professional Proficiency
French
Limited Working Proficiency
INTERESTS
startups swimming chess travelling
reading
Courses