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RAJIVGANDHI

TECHNICAL UNIVERSITY

B.TECH IN COMPUTER SCIENCE

2017-2021 Indore, MP

CGPA: 7.96 / 10

SHREE VAISHNAV

ACADEMY SCHOOL

Indore, MP

HSC CBSE 65%

SSC CBSE CGPA: 6.8/10

COURSEWORK

UNDERGRADUATE

DBMS

OOP

Data Structures and Algorithm

SKILLS

PROGRAMMING LANGUAGES

Familiar:

C • C++ • Java

Proficient:

• Python

CMS:

WordPress

CERTIFICATIONS AND

ACHIEVEMENTS

NPTEL -Programming in Java by IIT

Kharagpur

COURSERA -Programming Fundamentals

by Duke University Credential ID

CE6FZSZWNZF4

GOOGLE -Science Fair Idea Recognition

Certificate

ALGOSQUAD -Co-Founded SAIT’s First

ever Technical Club

GOOGLE ACTION DEVELOPER-

Successfully Published Action on Google

Assistance app store

VOLUNTEERWORK

Google Developer Group

Facebook Developer Circle

EXPERIENCE

DGWPVTLTD. DATA SCIENCE INTERN

Dec 2020- Mar-2021

• Worked as a Data Science Intern

• Deals with Data Pre-processing, Data Cleaning, Feature Engineering, Visualization of Data using Matplotlib

• Find insights using plotting techniques

MICROSOFT STUDENT PARTNER

SEP 2019 - Present

• Beta - Completed the requirements for alpha 2 and hosted an event for other students, it unlocks event support and resource benefit.

• Alpha-2 - Completed Microsoft learn path on Azure fundamental, it unlocks Azure credits with Visual Studio Enterprise subscription benefits.

• Alpha-1- Started with initial milestone aplha-1. SPAWN POINT WORDPRESS DEVELOPER

JAN 2019 – JUN 2019 (6-mos) Indore, MP

• Worked on the Insurance aggregator project, customize themes and pages according to clients requirements.

• Did installation and deployment on server

PROJECTS

MYPIXLR

JUN 2021

• MyPixlr is a simple Image editing tool created using Modern Computer vision.

• We have used Python and OpenCV Library to perform following tasks-

-Image Blending

-Detect Object/person in surveillance Video

-Blur Photo

ANALYSIS AND FORECASTING OF STOCK PRICES USING

MACHINE LEARNING TECHNIQUE EXECUTION PHASE

JUN 2020 – Present

• Trying to predict stock prices through visualization.

• Builded data sets through TFANN, which is used to implement and test the model followed by training the models using historical tickers.

• Achieved a 30% accuracy in predicting stock prices. EMPLOYEE MANAGEMENT SYSTEM

JUN 2019 – NOV 2019

• Employee Management System is a web application. It is build using Python-based free and open-source web framework called Django.

• In EMS user can add, modify, delete,view Employee’s data.

• Technologies used: Python/Django for back-end and sqllite as a default Database

• Architecture followed: MVT

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