An Experienced Machine Learning Engineer with a focus on Python, Machine Learning, Kubernetes, Data Analytics, and DBMS/SQL Skilled in Rest API Development, and Java Full-Stack development. Holds multiple Certificates in these skills. Created more than 9 projects in various fields such as Healthcare, Finance, Entertainment, and Ed. Tech, and holds an Integrated B.Tech. and MTech. in Computer Science and Engineering with a current CCPA of 8.26.
I am currently pursuing Integrated B.tech + M.tech in Computer Science and Engineering from Lovely Professional University. I hail from Ajmer, Rajasthan. I am a hard worker, a team player, an honest and trustworthy guy. I am a Web developer, Pythonist. Some other technology I know is Containerisation and its management via Kubernetes. My some areas of interest are DevOps, ML, AI, Data Wrangling, and Analysis.
I am workaholic not alcoholic and Work is Worship for me.
I know HTML, CSS, JS, React Js, Python(For Server Scripting)
Python, JAVA, C, C++ and knowledge of Data Structures
I know both MySQL and OracleDB
I am Learning about Containerisation and Its Mangement via Kubernetes
I have knowledge of Machine Learning, Feature Engineering Techniques, Natural Language Processing, Computer Vision and Currently working and learning Deep Learning
I have also experienced in this field as Work under several Reputed Organization like Linux World Pvt Ltd , Coding Club , etc as a Campus Ambassadaor where I use social media efficiently to do there promotions
Completed an Integrated B.Tech. and M.Tech. in Computer Science and Engineering from Lovely Professional University,
with a CGPA of 8.56
(2019-2024)
Completed 12th grade at All Saints Sr. Sec. School with an 87.8% overall score,
and topped in Information Practices with a 98/100.
(2018-2019)
Starting as a Campus Ambassador and intern in data science and business analytics,
I progressed through an SDE internship at Philips to my current role as an SDE-I,
showcasing a diverse journey across technical and non-technical domains.
* Spearheaded the successful migration of Philips' platform to React.js, optimizing user experience and enhancing scalability.
* Led the development of innovative dashboards using Qlik Sense, enabling data-driven decision-making and streamlining operations.
* Collaborated with cross-functional teams to implement Rest API solutions, facilitating seamless integration and enhancing product functionality.
* Successfully Designed and Implemented a versatile end-to-end ETL data pipeline using Python, enabling seamless data sharing across multiple APIs.
Applied and assessed AI/ML algorithms on dataset, optimizing performance.
Attained 95% accuracy through rigorous comparative analysis and cross-validation of diverse algorithms.
This was a Great Internship since I am working under World Record Holder Mr. Vimal Daga.
The aim of the company is to provide the right education to youth.
My responsibility here is conveying the information about this live course named Arth through Social Media Marketing.
Need to do activities and promote e-learning courses.
Function as a Link between Coding Club and their target audience with respect to courses.
Main duty is to increase awareness of people towards environment by interesting activities and it
is an NGO that works for environment.
Need to do activities and promote green events.
This comes under some task which I did for not for me but for others.
Welcome to My Innovation Hub
A web application built with React to provide a dynamic and responsive user interface.
Utilizes a News API to fetch and display the top headlines of the day, ensuring up-to-date information.
The application updates its data every reload through continuous API calls, keeping the news feed current.
It is Online Shopping System based on Microservices and MVC architecture created in java using spring boot.
In this architecture various RestApi are runing in order to flow the data.
The Data is Stored in MongoDB
It is a WebApp integrated with a CNN architecture(Custom Designed) that takes an Xray Image of Lungs and then classifies them as Covid Positive, Viral Pneumonia, Bacterial Pneumonia, or Normal Lungs and also gives the confidence. It has an accuracy of 93% in the Training and 88% in testing.
It is a WebApp integrated with a NLP based associator that shows Trendy Books as well as collabrative based Recommendation via Rating analysis and many more features
It is a WebApp integrated with a Computer Vision Based Classifier and Estimator. It classifies from 5 popular yoga poses or a Default Pose. It can be use via any pose image, live streams via web cam and videos
It is a WebApp integrated with a NLP based associator Created on the top of Coursera Courses Data. It helps the Learners to choose the course as per need by filterations as well as Recommendation.
It is a WebApp integrated with a Regressor created by following the Machine Learning Pipeline i.e., from Data Preprocessing till model evaluation trained on the top of dataset having more than 9 thousand data ietms. It is very helpful to diamond merchants who faces issue by analyzing the price on the basis of different diamond features like their shape, size, colour, etc. It can make their work easy they just need to insert their diamond quality and it will predict the price in USD 💵
It is a projects that follows the Deep Learning Pipeline. The Exploratory Data Analysis is carried out then a Artificial Neural Network is Trained on the top of more than 2000 data ietms and having 7 unique features. It can suggest the best crop according to soil nutrition values and climate of a certain location. It has 22 Crops Into it.
It is a WebApp integrated with a NLP based associator and it works on content-content Recommendation that
means it shows the movies recommendation based on previous type of content watched.
It follows
a ML + NLP pipeline inorder to give the suggestions.
It acts humanish as
it asks user what movie they watched previously then suggest them similar movies just like a friend.
It is python gui based project build on the Top of Stegnography i.e., data can be hided within a image or pickle
file.
In This I have used by custom encryption algorithm for pickle it has 4 different layers of encryption
while for images it has 2 layers encryption.
It majorly used 1-key or Pin base encryption.
It is a static website on the Alumni Management System of Lovely Professional University based on HTML,CSS and Javascript. It has been deployed over GitHub. It has multiple pages like Sign In, Home, Profile, About, Gallery is like a virtual tour of LPU. Its goal is to connect the alumni of LPUs with the students and also provide other cultural information about LPU.
I am always open to work and Its always a pleasure in speaking to you.
+91-8758984387
vikramsh2002@gmail.com
+91-8758984387