Python Developer

Prashant Final Year (B.Tech) Shekhar

Computer Science Engineering

EducaƟon

JAYPEE INSTITUTE OF

INFORMATION TECHNOLOGY

July 2021 Noida, IN

B.TECH. IN CSE

CAMBRIAN PUBLIC SCHOOL

April 2017 Ranchi, IN

AISSCE, CBSE

Links

Profile : // prashant-shekhar

Github: // prashant-shekhar

LinkedIn: // toprashantshekhar

Medium: // toprashantshekhar

HackerRank: // prashant_shekhar

Youtube : // Prashant-Shekhar

Skills

Programming

•Python

•C++

•C

Database

•MySQL

ArƟficial Intelligence

•Machine Learning

•Deep Learning

•Exploratory Data Analysis(EDA)

Development & frameworks

•Django •JavaScript

•React •Redux

•HTML •CSS

•Github •Bootstrap

Courses

•OperaƟng System (OS)

•Database Management

•Computer Networks (CN)

•Neural Networks

Achievements

Organizer :

•InternaƟonal StreetPlay Event.

•College Fest Converge.

Prizes :

•1st Runner up for Best Actor.

•1st Runner up for Film Making.

Bengaluru, India

Mobile : +91-844*******

Email : *****************@*****.***

Projects

Fake News DetecƟon JçÄ ’ 2020

• Data CollecƟon, Cleaning and Processing. Data analysis and visualizaƟon using Plotly and Matplotlib.

• Used LSTM to classify if the news is Real or Fake. Kitchen Surveillance System AÖÙ® ’ 2020

• Object detecƟon and classificaƟon model is built using YOLOv4 on custom dataset to ensure hygiene and safety measures being taken during COVID-19 pandemic.

• To detect Person, FaceMask, HairMask and Kitchen Glovers to ensure food hygiene.

Computer Vision Foregather J Ä - M Ù «’ 2020

• ThisWebApplicaƟoncontainsmajorityofthecomputervision algorithms all together using Django.

• FuncƟonaliƟes such as Image SegmentaƟon, General Object DetecƟon, Custom Object DetecƟon, Object ClassificaƟon, Image Processing, Noise ReducƟon with Auto encoders. Skin Cancer DetecƟon with CollaboraƟve Clustering. S Öã – O ã’ 2019

• Dataset pre-processing and linking the .csv file with its corres- ponding images.

• Applied CollaboraƟve Clustering to the images to extract out its feature and trained a mixed model containing MLP and ConvoluƟon Neural Network.

Experience

ELitmus EvaluaƟon Pvt Ltd Full Stack Developer Intern E-Mail Validator. D ’ 2020-F ’ 2021

• Developed Ruby on Rails ApplicaƟon.

• Used React and Redux for UI and State Management.

• Integrated an opƟon to validate bulk of emails in a csv file. Naaniz Seller Services Pvt. Ltd. Machine Learning Intern Lead Machine Learning team. JUN-AUG’ 2020

Kitchen surveillance system

• Data is scraped using FastAI from google images.

• Dataset is labelled using Labellmg.

• Object detecƟon and classificaƟon model is built using YOLOv4 on custom dataset to ensure hygiene and safety measures being taken during COVID-19 pandemic.

Training

Machine Learning Training : Coding Elements M ù-Jç ù’ 2019

•Underwent 10 weeks training on developing different machine learning models. This involved both Supervised and Unsupervised models.

•Along with that, I worked on Neural Networks, ConvoluƟonal Networks for Computer Vision and recurrent networks for Natural Language Processing.

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