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