Swetha
Problem Solver, Innovative
D.NO-***, Suraksha paradise
phase-2, Ongole.
admdcj@r.postjobfree.com
EDUCATION
Degree/
Grade
Institution/
University
Year of
passing
Score
B. Tech, CSE Acharya
Nagarjuna
University
2020 9.33(cgpa)
Intermediate Sri Chaitanya
Bharathi junior
college
2016 94.8%
SSC Bhashyam
High School
2014 9.7(cgpa)
EXPERIENCE
IBM, Hyderabad — Internship
MAY 2019 - JUNE 2019
Project name : Energy audit for household consumption
Language used: Machine Learning using python
PROJECTS
Project Name — Cause of death analysis
The purpose of this project is to make the process easy of identifying causes of death easily through the hospital applications. In this we mainly concentrate on the death rate of patients who are admitted in the hospitals due to various health issues. Hospitals are keeping patient records in a computer database and by collecting the information from hospitals we can easily analyze the cause of deaths. To analyze this, we have used machine learning algorithms so that health and life insurance companies can make informed decisions on what prices to set for different kinds of insurance and coverage. AWARDS
Received a certification of
participation for Technical
Hackathon organized by
Smart Bridge collaborated
with IBM.
Received NPTEL Online
Certification on Introduction
to Internet of Things with a
score of 88% Conducted by
IIT Kharagpur.
Received First prize in poster
presentation competition
held on luminous 2k20 fest.
Received First prize in Quiz
competition held by Bapatla
Women’s Engineering
College on the eve of
Engineer’s day.
Received Second prize in
Technical Quiz held at
Bapatla Engineering
College.
Received Second prize in
Essay Writing Competition
held by Bapatla Women’s
Engineering College on the
eve of NSS Day.
CO-CURRICULAR ACTIVITIES
Received blood donation
appreciation certificate by
INDIAN RED CROSS
SOCIETY BLOOD BANK.
Received a certificate for
participation for participating
in RALLY FOR RIVERS.
Project Name — Energy Audit for households
Main aim of this project is to reduce the power consumption by knowing the areas where there is a lot of power consumption and to know by which electrical gadgets the power is consumed in larger amounts. To know this, we have used machine learning using python. We have used several libraries in python such as matplotlib, NumPy.
SKILLS
● Basics of java
● Basics of DBMS
● Python using machine learning
● C language
● Basics of html
conducted by ISHA
FOUNDATIONS.
Attended TEDXBEC talk at
Bapatla Engineering College
Bapatla.
LANGUAGES
English, Hindi, Telugu.