SHIVAM KUMAR SINGH
admrou@r.postjobfree.com
https://www.linkedin.com/in/shivam-singh-54909714a
https://github.com/singhshivam215
Carrer Objective :
: An independent and self motivated graduate in Computer Science & Engineering Passionate about learning new things and excited to implement my skill and knowledge in real time problems. Technical Skill Experience :
Programming Languages : Python, JAVA and C
Good knowledge in OOPs, SDLC,Data structures and Algorithms
Databases : MySQL, MongoDB
Platforms : Anaconda, Jupyter Notebook, PyCharm, Spyder,Eclips, Github
Skilled in libraries such as Sklearn, Numpy, Pandas, Matplotlib and Seaborn for Data Visualization.
Cloud Platform : Heroku
Supervised and Unsupervised machine learning algorithms…. Education :
Graduation in B.Tech from Dr.A.P.J.Abdul Kalam Technical University Uttar Pradesh ( UPTU ) in 2020 83 %
Highschool from U.P. Board in 2014 86.67 %
Intermediate from U.P. Board in 2016. 82.2 %
Work Experience :
Completed 1 month Internship from The Sparks Foundation in Data Science & Analytics.
(sep2020-oct2020)
Link: https://github.com/singhshivam215/The_Sparks_foundation_GRIP
Desrription: Resolved Exploratory Data Analysis on different datasets using machine learning algorithms and model building of case study
Project Experience Summary :
Project title : Stock Market Prediction
Technology: Python, Machine Learning,Sklearn, Streamlit Brief description: Developed project is about Predicting Stock Market model is trained using Machine Learning Algorithm aim of the project is to predict the Stock market values.
Project title : Twitter Sentiment Analysis
Technology: Python, Machine-Learning,tweepy,nltk
Brief description: This project is about analysis of sentiment of Tweets using NLP Technique. Training :
Attend 40 days training on “PYTHON” at “Naresh IT Hyderabad ”
Attend 40 days training on “PYTHON” at “Naresh IT Hyderabad ”
Attended 2 Month training on “Machine Learning Using Python” at “CETPA InfoTech Pvt.Ltd. ” Personal Information :
Date of Birth : 5th April 1999
Address : Noida