Data Analysis Machine Learning

VINUSHA GALI

***********@*****.*** https://www.linkedin.com/in/vinusha-gv/ +1-682-****-***

SUMMARY

A detail-oriented Computer Science graduate specializing in data analysis, I bring a passion for extracting insights from complex datasets. With a solid foundation in programming and web development, coupled with a strong commitment to continuous learning, I aim to leverage my skills to contribute to data-driven decision-making and drive organizational success.

EDUCATION

Master’s in Computer and Information Science, The University of Texas at Arlington

Aug 2022 – Dec 2023

Bachelor’s in Computer Science and Engineering, R.M.K Engineering College

Aug 2018 – May 2022

SKILLS

Programming

Python, Java, C#, C++, Typescript

Web Development

HTML, CSS, Bootstrap, JavaScript, PHP, .Net, Springboot, Node.js, REST APIs

Data Visualization

Matplotlib, Tableau, AWS Quicksight, PowerBI, Microsoft PowerPoint

Data Analysis

Microsoft Excel, SAS, Google Analytics

Database and Servers

MySQL, Apache Tomcat, Epic Clarity, MongoDB, Oracle

Statistical Analysis

Hypothesis Testing, Regression Analysis, Clustering

Automation

Luigi, Cron

Version Control

GitHub, Bitbucket

Tools

Junit, Jira, Selenium, Hibernate

Machine Learning

TensorFlow, Keras

Data Migration

ETL Tools, Data Modeling, Database Management

Cloud

AWS, Azure, Docker, Kubernetes

EXPERIENCE

Uniq Technologies Chennai, India

May 2021 – May 2022

Role: Data Analyst Intern

Responsibilities:

Collecting and aggregating data from diverse sources using SQL, Python, and APIs.

Employing advanced data mining techniques to extract valuable insights.

Interpreting complex datasets to identify patterns and trends.

Generated comprehensive reports and visualizations using tools like Tableau and Matplotlib and developed dashboards using PowerBI.

Utilizing specialist tools such as Pandas and NumPy for data analysis.

Setting up automated processes for efficient data handling.

Savvy Knowledge Solutions Pvt Ltd Chennai, India

Dec 2020 – Apr 2021

Role: Cloud Data Engineer Intern

Responsibilities:

Collaborated with senior engineers to develop and maintain data pipelines, utilizing AWS Cloud Services.

Assist in data processing tasks such as ETL processes to prepare data for analysis and reporting.

Contributed to the configuration and management of cloud-based data storage solutions, ensuring data Security.

Involved in monitoring to ensure the reliability and performance of data pipelines and infrastructure components.

PROJECTS

Image Classifier for Leaf Diseases

Apr 2023

Designed and implemented an image classification system to detect various mango leaf diseases using machine learning techniques.

Conducted experiments with multiple classifiers, including Naive Bayes, K-Nearest Neighbors, Support Vector Machine (SVM), and Convolutional Neural Networks (CNN).

Utilized preprocessing, hyperparameter tuning, and grid search to optimize model performance.

Demonstrated strong problem-solving and data analysis skills in the field of computer vision and image classification.

Facial Expression Recognition

March 2023

Developed an image classification model for facial expression recognition using Convolutional Neural Networks (CNNs), TensorFlow, and Keras.

Utilized data preprocessing techniques and experimented with hyperparameters to improve the accuracy of the model.

Additionally, implemented features for real-time data augmentation and performance evaluation.

Person Re-Identification using OpenCV

May 2022

Proposed a system that is an efficient privacy-preserving person re-identification system using haar cascade Algorithm for outsourced surveillance films.

Developed and Implemented complex computer vision algorithms using OpenCV.

Integrated machine learning models, enhancing its ability to recognize individuals under various conditions.

Online Product Recommendation System

Dec 2021

Proposed a recommendation technique utilizing the fast diffusion and information sharing capability of a large customer network.

Implemented a GRS based on opinion dynamics that considers these relationships using a smart weights matrix to drive the process.

Designed and Implemented an intuitive and responsive web interface using Java.

CERTIFICATIONS AND BADGES

Python Essentials by edX

Python for Data Science by IBM

Getting Started with AWS Machine Learning by Coursera

Cloud computing Basics by Coursera

Learn to Earn Cloud Challenges by Google Cloud

Contact this candidate