Skilled multitasker with superior work ethic and good teamwork, problem-solving and organizational skills. Willing to take on any task to help team. Reliable and dedicated team player with hardworking and resourceful approach.
Overview
1
1
Certification
Work History
Intern
09.2022 - 02.2023
DATA SCIENCE WITH PYTHON
09.2022 - 02.2023
Supervisor Name: Amar Vajjhala
In this internship I have worked on Machine learning, Data Exploration, Data visualization and big data technologies
I have done a Classification project which mainly focuses on use of Machine Learning algorithms to categorize data points into predefined classes
The classification project that we have done includes healthcare and marketing
The healthcare project involves machine learning and data science techniques to categorize health related data into predefined classes
Engineered real time assessments such as disease diagnose, patient risk, fraud detection using machine learning algorithms and python programming
Applied advanced statistical and analytical techniques to derive actionable insights, refining data-driven strategies for continued healthcare detection
Education
Masters in computer science -
Northwest Missouri State University
02.2024
Bachelors in engineering -
Osmania University
01.2022
Skills
Linux
MacOS
Windows
Python
Java
C
SQL
MySQL
HTML
CSS
Bootstrap
Microsoft Excel
Microsoft PowerPoint
Image Processing
Tina
AutoCAD
Certification
HTML and CSS: Building a single webpage, https://www.coursera.org/account/accomplishments/verify/TD43PPG3XTV2
Introduction to Internet of Things and Embedded Systems, https://www.coursera.org/account/accomplishments/verify/EYM6X4MQPPYT
Projects
Obstacle Avoiding Robot, 03/2019, 04/2019, By leading a team of five members and by utilizing Arduino software to build a smart robot which is used to recognize the obstacle by giving a buzzer signal. And the advanced version of this project we have done is by using machine learning concepts to recognize the face of the person. Designed and implemented an innovative robot to which we have added other parts such as motor, ultra sonic sensor and connected to mobile via Bluetooth to control it with the mobile. For face detection of a particular person, we have uploaded around 1000 images of the person in different angles, so as to recognize him easily. Smart Shopping Trolley using IOT, 03/2022, 04/2022, Proficiently gathered information about how the billing process goes on in the shopping malls and came up with an idea of this project. Our project mainly works on the IOT platform and RFID reader. Aim of the project is to reduce the crowd at the billing section. Developed a prototype where we have used ATmega328 microcontroller, LCD, Zigbee transmitter and receiver. After purchasing a product, the RFID reader of the prototype scans the product tag. The product price and the name will be displayed on the LCD screen and at the same time the price information will be updated at the billing section with the help of the Zigbee transmitter and receiver. The advanced version that I have done is the payment of the product can be paid without any waiting in the line at the shopping.