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Vikram Sharma

I am a Passionate
Programmer and a Pythonist

An Experienced Software Development and Machine Learning Engineer currently working as an SDE at Philips, 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 M.Tech. in Computer Science and Engineering with a CGPA of 8.56.

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About Me

Hello, I'm Vikram Sharma

I am a Software Development Engineer I at Philips with an Integrated B.Tech and M.Tech Degree in Computer Science and Engineering from Lovely Professional University, where I achieved a CGPA of 8.56. Hailing from Ajmer, Rajasthan, I am a dedicated, honest, and trustworthy professional who thrives in team environments. As a full-stack developer, I specialize in Python and web technologies like React.js. My interests lie in DevOps, Machine Learning, Artificial Intelligence, and data wrangling and analysis, driving my passion for innovative technology solutions.

My Skills

I am workaholic not alcoholic and Work is Worship for me.

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Web Development

I know HTML, CSS, JS, React Js, Python(For Server Scripting)

Programming

Programming Languages

Python, JAVA, C, C++ and knowledge of Data Structures

DBMS

DBMS

I know both MySQL and OracleDB

Devops

DevOps

I am Learning about Containerisation and Its Mangement via Kubernetes

Artificial Intelligence

AI

I have knowledge of Machine Learning, Feature Engineering Techniques, Natural Language Processing, Computer Vision and Currently working and learning Deep Learning

Social Media Marketing

Social Media Marketing

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

My Qualification

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)

My Certifications

Research Paper Presentation on 'Hybrid Approaches for Stock Price Prediction' at ICEECT 2024

Java Full Stack Training
By Cipher Schools

Machine Learning Advanced Certification Training

Review Paper Presentation on 'Covid-19 and Pneumonia Classification using ML' at ICCS 2022

Python3 Specialization

Object Oriented Programming with Java

Python-101 for Data Science by IBM

Data Analysis with Python By IBM

Crash Course on Python By Google

Data Manipulation with SQL

Machine Learning for all

Object Oriented Data Structures with C++

Introduction to Sustainability

My Experience

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.

Software Developer Engineer Intern
Philips

* 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.

Data Science and Business Analytics Intern
The Sparks Foundation

Applied and assessed AI/ML algorithms on dataset, optimizing performance.
Attained 95% accuracy through rigorous comparative analysis and cross-validation of diverse algorithms.

Arth Campus Ambassador at
Linux World Pvt. Ltd.

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.

Campus Ambassador at
Coding Club

Need to do activities and promote e-learning courses.
Function as a Link between Coding Club and their target audience with respect to courses.

Campus Ambassador at
Greenthusiast Foundation

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.

My Projects

Welcome to My Innovation Hub

VRL Headlines Login

VRL-Headlines

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.

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VRL Shopping

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

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Dr. CNN

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.

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VRL Novel Recommendation Engine

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

Human Pose Estimator

VRL Human Pose Estimator

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

VRL E-Learning Course Recommender Thumbnail

VRL E-Learning Course Recommender

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.

VRL Diamond Price Predictor Thumbnail

VRL Diamond Price Predictor

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 💵

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VRL Crops Classifier

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.






VRL Movie Recommender System

VRL Movie Recommender System

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.

IVA Message Security

IVA Message Security

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.






AMS- Alumni Management System

AMS
Alumni Management System

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.

My Publications

Welcome to My Research Hub

Hybrid Approaches for Stocks Price Prediction: A New Institutive Way of Neural Architecture Design
IEEE Logo
Authors: Vikram Sharma, Manik Rakhra, Vikrant Sharma, Tiyas Sarkar, Amanpreet Singh, Kapil Jairath Date: November 2024 Type: Research Paper
Stock price prediction is a critical aspect of financial decision-making for both individual investors and institutions. Traditional methods such as ARIMA and deep learning techniques like ANNs, LSTM, and GRU have demonstrated effectiveness in forecasting stock prices but suffer from inherent limitations... Read More
Hybrid Approaches for Stocks Prediction and Recommendation System
EDP Science Logo
Authors: Vikram Sharma, Manik Rakhra and Gauri Mathur Date: November 2023 Type: Review Paper
Hybrid approaches to stock prediction and recommendation are a critical area of research for individual investors and financial institutions. Traditional methods have limitations, leading to the emergence of hybrid models. This paper reviews current research on hybrid models, including... Read More
A Review on Classification of Covid-19 and Pneumonia Disease Using Machine Learning
Taylor & Francis
Authors: Vikram Sharma, Anurag Anand, Sushant Kumar, Pabitra Kumar Panda, Makul Mahajan Date: October 2023 Type: Book Chapter(Chapter 88)
Coronavirus is one of the severe diseases spreading over the globe. Due to this, the entire world was shut down for more than a year, which shows the level of risk it is imposing. The major target of this virus is... Read More

Contact Me

I am always open to work and Its always a pleasure in speaking to you.

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Call Me On

+91-8758984387

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E-Mail Me On

vikramsh2002@gmail.com

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WhatsApp Me

+91-8758984387