A diligent computer science engineer with a demonstrated background in data science, work ethics is what defines me, Vipul Vaibhav, a final year student of The LNM Institute of Information Technology, Jaipur. I am looking for opportunities in data science and software development roles for a 6-month internship from January ’21 with FTE opportunity henceforth. I have a good grasp over Machine Learning and Deep Learning in Python, with dexterity in Natural Language Processing and Computer Vision and I am well-versed in data structures and algorithms in C++ as well.
Vipul Vaibhav
vipulv5247@gmail.com
+91-8009784441
Bachelor's in Technology (B.Tech) • 2017-2021
Majors in Computer Science & Engineering (CSE) with other subjects as Artificial Intelligence, DataBase Management Systems, Probability and Statistics, Computer Programming, Data Structures and Algorithms, Information Retrieval, Internet of Things Technologies, Computer Networks, Operating Systems, Image Processing etc.
Product Development Intern • May 2020 - July 2020
• Worked upon new features of the desktop app
using ElectronJS and modified the codebase to ensure the best
security practices were followed for the app.
• Created a JSON file for automatically
modifying JS file variables through it and worked with GitHub
Jr. Machine Learning Engineer • December 2019 - February 2020
•Worked on a social project called "SexEdPL-
Sex Education in Poland".
•Created relevant
datasets by scraping data related to SexEd in Poland from
various sources
•Made a NLP model of
Unsupervised Sentiment Analysis and a ML model to make
predictive analysis
Data Science and Analytics Intern • June 2019 - July 2019
• Led the development of a Machine Learning
model to make predictions for problems involving financial
markets.
• Closely analyzed the finance markets at
global level and various sectors related to them
Here are few of my skills:
En route to publish a paper on making a model to identify coronary heart disease based on the current health of a person. Deep Learning model is based on Type-2 Fuzzy Neural networks and Bayesian Optimization to classify the severity of the heart condition, and for high-risk people, currently making a sequence model to identify the dangerous ECG rate alert.
Deep Learning, Data Science, Fuzzy LogicUsing OpenCV and Tesseract OCR, the model Detected the credit card company based on the card number and stored the card details in a JSON file
Computer VisionSentiment analysis in NLP without using labels was done i.e. no pre-trained model was used. Idea of clustering and Word2Vec was used to predict the sentiment associated with the reviews in Omdena project
NLPUsing data mining and machine learning algorithm, this project uses various data visualization tools to help future app developers to decide upon various aspects of developments which could aid them in their success in the android market
Machine Learning, Data MiningProin gravida nibh vel velit auctor aliquet. Aenean sollicitudin, lorem quis bibendum auctor, nisi elit consequat ipsum, nec sagittis sem nibh id elit.
Branding, WebdesignProin gravida nibh vel velit auctor aliquet. Aenean sollicitudin, lorem quis bibendum auctor, nisi elit consequat ipsum, nec sagittis sem nibh id elit.
PhotographyProin gravida nibh vel velit auctor aliquet. Aenean sollicitudin, lorem quis bibendum auctor, nisi elit consequat ipsum, nec sagittis sem nibh id elit.
Branding, Illustration