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Data Scientist

Location:
Jaipur, Rajasthan, India
Posted:
July 07, 2020

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Resume:

Parikshit

******************@*****.*** +91-869******* Jaipur, India

EDUCATION

Manipal University Jaipur

B. TECH IN COMPUTER SCIENCE

Expected June,2020 Jaipur, India

CGPA: 8.1(upto 7th semester)

Vidya Bharti Public School

Grad.: May 2016 Sikar, India

CLASS 12: 87.4 PERCENTAGE

CLASS 10: CGPA 9.8

SKILLS

SCRIPTING LANGUAGE

Python

PROGRAMMING LANGUAGE

C • C++

QUERY LANGUAGE

SQL

LIBRARIES PROFICIENT

Numpy • Pandas • Matplotlib • OpenCV

• Tensorflow • PyTorch • Keras • Flask

• GCP

TOOLS

Git • Linux • Jupyter Notebook

LINKS

LinkedIn:// parikshit-agarwal-

60a729173

Github:// Parikshit22

CodeChef:// parikshit40

MOOC UNDERTAKEN

• Data Science Master Course (Achived

Certificate of Excellence); Coding

Blocks

• Data Structures and Algorithms

Specialization; Coursera

• REST APIs with Flask; Udemy

• AI for Medicine; Coursera

• Tableau; Edureka

• Finance and capital markets;

Khan Academy

COMMUNITY

• Active NGO Member, Selfless for

careless; Sikar, Rajasthan

• Class Repersentative for

consecutively 3 years at MUJ

• Member; MHRD’s Innovation Cell

INTERESTS

• Reading Novel

• Badminton & Cricket & Gymming

EXPERIENCE

Vidooly Media Tech. DATA SCIENCE INTERN

Dec 2020 - Till Date (Noida, Uttar Pradesh In-Office + Remote)

• Working on Youtube content suggestion about different categories and also enhancing brand safety by deploying different NLP techniquies. CDS Department, IISC Bangalore UNDERGRADUATE INTERN May 2019 - June 2019 (Bengaluru On-Campus)

• Worked on 2D Semantic Segmentation using UNet architecture adding Dense Blocks and Dilated Spatial Pyramid Pooling. and VNet for 3D segmentation.

Department of CSE, IIT Kanpur SUMMER SCHOOL

May 2018 - June 2018 (Kanpur On-Campus)

• Learned concepts of machine learning, neural networks, Approching real world problem by applying Regression, Classification and Neural nets. Completed a project on Housing Price Prediction by using ML Pipeline. RECENT PROJECTS

FOODMUCH COLLEGE DINER FOOTFALL PREDICTION

• Developed a machine learning regressor model to predict the average footfall of a college diner, taking into account various parameters such as Holiday, Day of the Week, Month, Weather, Exam-time etc.

• Git-Repository:-https://github.com/Parikshit22/messproject U-NET SCAN FINDING & MEASURING LUNGS IN CT SCAN

• Developed a model for processing 2D Semantic Segmentation for Mask data, which involved encoding and decoding of a scan image. Used Fully Convolution network as U-net architecture with dilated spatial pyramid pooling.

• Git-Repository:-https://github.com/Parikshit22/UNet-using-Dense-Layer WEBCAPTION IMAGE CAPTIONING & FLASK DEPLOYMENT

• Gerenrating caption on Image Using Pre-Trained RESNET and RNN model combinely using Keras Funtional API.

• Git-Repository:-https://github.com/Parikshit22/Image-Captioning-Training- FlaskDeployment

AUTOREVIEW PRODUCT REVIEW CLASSIFICATION USING BERT

• Predicted Review in 102 language using BERT model trained on Amazon Product Dataset in English Using TPU for faster Training.

• Git Repository:-https://github.com/Parikshit22/Bert-TPU-multilingual-sentiment- analysis

IMAGEN GENERATING IMAGES USING GANs

• Genrating the fake samples of digits learned from the input images of digit using GANs.

• Git Repository: https://github.com/Parikshit22/Generating-Images-Using- GANs



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