Hi, I’m
SATHVIKA KURELLA
Front End Developer
Springfield,IL
Summary
Highly motivated and detailed-oriented candidate passionate about using data to improve business performance and customer experience. Skilled at leveraging data to develop actionable solutions to business challenges and utilizing data mining and data visualization to create meaningful insights. Excellent technical aptitude and knowledge of programming languages, data analytics and data visualization.
Overview
1
year of professional experience
4
years of post-secondary education
Work History
The Sparks Foundation
Data Science and Business Analytics Intern
6 2021 - 7 2021
Job overview
- Worked on social media data and analyzed customer feedback to transform the businesses that are currently impacted by social media
- Implemented NLP algorithms using Python and R-Language.
One Stop – IIT KANPUR
Machine Learning Intern
06.2021 - 08.2021
Job overview
- Work with the team in generating training data, model design, feature selection, system implementation, and evaluation
- Relevant knowledge of machine learning and data mining concepts with an understanding of supervised and unsupervised learning methods (such as Regression, Decision Tree, Collaborative Filtering, PCA, Clustering, etc.) Experience developing and debugging in Java on Unix and/or Linux
Techionary
Machine Learning Intern
07.2020 - 08.2020
Job overview
- Implemented preprocessing module to clean the data to train it on machine learning models
- Applied machine learning and/or graph analysis techniques for a variety of modeling and relevant problems
- Designed and built ensemble machine learning models for better predictions.
Education
University of Illinois At SpringfieldSpringfield, IL
Master of Science from Computer Science
Current
University Overview
Data Visualization, Machine Learning, Big data Analytics
Malla Reddy College of Engineering and Technology
Bachelor of Technology in Information Technology
01.2018 - 05.2022
University Overview
- Python, Java, My SQL, Android development, Machine Learning
- GPA: 3.73/4
Skills
Time Series
Regression Models
Dimensionality Reduction
Python
R-language
C
SQL
C
Java
NET
MATLAB
Microsoft Excel
Word
Powerpoint
Natural language Processing
Deep Learning
Data Visualization
Data Pre-processing
Data Mining
Certificates And Education
- AI for Everyone- Coursera
- Python Data Structures- Coursera
- Introduction to Big Data- Coursera
- Machine Learning with Big Data- Coursera
- Programming for Everybody ( Getting Started with Python)- Coursera
- Data Visualization with python- IBM
Leadership And Volunteer Experience
- T-HUB student SPOC, Organized different events to get familiar with startups. Interacted with various industrial people and discussed innovative ideas and worked on them.
- Student-body Coordinator in the Aavishkar event, Directed the planning and organizing team for contests and workshops for students. Organized the technical fest of MRCET-Aavishkar
Awards
Best student SPOC award of the year – THUB
Projects
Cyber Bullying Detection Using Machine Learning, Team Leader, Developed a Naïve Bayes classifier to automatically classify bullying words from Social media platforms. Worked on Naïve Bayes and Logistic Regression to predict the Abusive words and hide them. Different classifiers are examined and the results are compared, which confirm the efficacy of the proposed method. Obstacle Avoidance Using IoT, Team Leader, Used ultrasonic sensor to develop obstacle avoiding robot which can move without any collision by sensing obstacles. The robot would change its course to a relatively open path by making autonomous decisions. Techniques of value education to agriculture (Smart India Hackathon), Built a website that helps farmers and SHGs to perform agro-marketing using python, java, MongoDB, SQL, Machine Learning, HTML, CSS, Bootstrap, and Javascript. Implemented an advance search feature for searching records on various criteria. Spam Message Detection, Used Machine learning algorithms to filter the spam messages. Trained on multiple Machine Learning algorithms and compared their accuracies and found the best accuracy of 93% with random Forest
Timeline
Machine Learning Intern
One Stop – IIT KANPUR
06.2021 - 08.2021
Machine Learning Intern
Techionary
07.2020 - 08.2020
Malla Reddy College of Engineering and Technology
Bachelor of Technology in Information Technology
01.2018 - 05.2022
Data Science and Business Analytics Intern
The Sparks Foundation
6 2021 - 7 2021
University of Illinois At Springfield
Master of Science from Computer Science
Current