Public School Python

RISHABH RASTOGI

Academic Qualifications:

Course College/School % / CGPA

B.tech in

CSE (2017-

2021)

Jaypee institute of Information Technology Noida 7.1 Class XII (2017) D.A.V Public School Rajendra Nagar Sahibabad 93 Class X (2015) D.A.V Public School Rajendra Nagar Sahibabad 100 Technical Skills:

Languages: C, C++, Java, Python, Javascript

IT Constructs: DS and Algorithms, OOPS, OS and DBMS, Machine learning

Development tools: Microsoft Visual Studio, Spyder, Android Studio, Pycharm,

Data Science: Python with NumPy and Pandas, Neural Networks using Keras, Deep learning-CNN.

DB language: SQL, Mongodb(prior experience)

Internships:

Industrial Training Jaypee Institute of Information Technology, Noida (May 2020-july 2020):

Developed an Android chit-chat app for simple messaging using firebase authentication and real time database stored in firebase cloud user can send and receive messages and can add or update his profile

The Sparks Foundation Graduate Rotational internship program (jun 2021 – jul 2021):

Developed a basic website and android app for credit management in which user after registering and logging in can transfer credits to others users

Projects:

Emotional recognition through speech 01/2020-03/2020 this project uses convolutional neural network to recognize and detect emotion from speech trained on RAVDESS dataset,model can make prediction from pre-recorded sound file and categorize them into 7 emotions and python librosa library is also used to extract audio features and mathematical information from audio wav files making use of tools like matplotlib,librosa,opencv,keras. the performance analysis of models ie accuracy and log loss are also plotted with respect to epochs https://github.com/rishabhrastogi31/speech-emotion-recognition

Psyco-analysis using facial emotion recognition 8/2019-12/2019 trained a convolutional neural network to obtain emotions of a person and then plotted emotion variation with time doing a full scale analysis and data visualization the performance analysis of all the 4 models ie accuracy and log loss are also plotted with respect to epochs along with resulting emotions generating through opencv are plotted with time in form of bar graphs and scatter plots

https://github.com/rishabhrastogi31/face-expression-recog

student admission classifier based on MLP KERAS

adhwp2@r.postjobfree.com

+91 - 920-***-****

this project is a MLP neural network trained to predict weather a student will be admitted to university or not on the basis of GRE, GPA and RANK https://github.com/rishabhrastogi31/student-admission-classifier-based-on-MLP- KERAS#student-admission-classifier-based-on-mlp-keras Courses and Certificates:

1)Machine Learning with Python (IBM certified course on coursera) https://www.coursera.org/account/accomplishments/verify/5UQ383TP3WHA

Data Analysis with python (IBM certified course on coursera) https://www.coursera.org/account/accomplishments/verify/6QQH4MGBHXXF

Introduction to Deep learning and Neural Networks with keras(IBM AL school of engineering from coursera)

https://www.coursera.org/account/accomplishments/verify/MQCPMDP9QG57

How Google does machine learning

https://www.coursera.org/account/accomplishments/verify/XXAL3H3HPK4U

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