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Apoorva

Srivastava

M.Tech JNU – CSE

727-***-****, 700-***-****

apoorvasri03

admlwr@r.postjobfree.com

https://www.linkedin.com/in/

apoorva-srivastava-

027286186/

To work in an interactive and challenging environment that demands leadership abilities and gives me

opportunities to utilize and enhance my technical and managerial knowledge CAREER

EDUCATION PROJECTS

2021

2019

2014

2012

JNU New Delhi

UIET-CSJMU

SSIC, Kanpur

SPIC, Kanpur

M.Tech CSE – 7 CGPA

B.Tech CSE – 6.24 CPI

SSE - 79.00%

HSE – 83.00%

PERSONAL

RESEARCH AREA

SKILLS

Java/C++

Data Structure & Algorithm Python, ML and Cyber Security LANGUAGE HOBBIES

Hindi English

• 5 Star Badge– Problem

Solving in hackerrank

• 3 Star Badge – leetcode

• Played Cricket in College

Cluster Level

Noida, India

.

Blood Bank Management System

A website using (HTML,CSS, MYSQL) where the user can log-in into their account and can get or modify the info about persons who are donating blood and update the quantity of blood in bank. Price of each group is given and more.

Design And Simulation of CPU Architecture Using logisim The Goal of the problem is which Machine leaning models will perform better. Machine learning models are used on NSL KDD data set which give values and then detect model is good for these attacks and using Hyperparameter tuning to improve the performence of the models and optimize these models. Machine learning Models for Intrusion Detection in IoT It is complete design of Hardwired Unit. In which different operations are run different register(AR, DR, IR,TR, AC AND MANY MORE), Gates(AND, OR NOT,NOR AND MANY MORE) AND FLIPFLOP( JK, SR

,D,F ) are used. Clocks are used. Tool use for Design and run in LOGISIM then work on xml file check the change on xml file after each clock. For design this we need different Flip-flop ALU of 2,4,8 bits . Prevention of Over Fitting using Regularization in Models Regression and Classification both are used in machine learning to predict the outcome based on the relationship between variables obtained from the dataset. When the data points are more there is a problem of overfitting. Regulariztion is use to prevent form overfitting . OS & CN & DBMS

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