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Click here or scroll down to respond to this candidate Candidate's Name
(Street Address )293-0465| EMAIL AVAILABLE| https://LINKEDIN LINK AVAILABLE
Career Aspiration
Highly motivated recent graduate from the University of North Texas, eager to contribute to a collaborative
team environment and leverage strong learning and problem-solving skills. Seeking a position that allows
me to develop and grow in a fast-paced environment.
Professional Summary
6 Months of experience as a Data Scientist Intern with expertise in building and deploying
machine learning models. Skilled in data wrangling, analysis, and visualization using huge data to
solve complex problems and drive business insights.
Knowledge of using the Jira tool for project monitoring purposes.
Have expertise in Python programming, especially for Machine Learning to use frameworks such
as PyTorch, and TensorFlow.
Well-versed using libraries like NumPy, Pandas, Matplotlib, Seaborn, and Sci-kit Learn.
Expertise with Data Analytic tools including Tableau, PowerBI Desktop, and RapidMinder
Studios.
Good knowledge of cloud computing technology like Google Cloud Platform for cloud DataFlow
and BigQuery to analyze huge sets of Data.
More than 1.5 years of experience as an Application Developer especially on the iOS platform
with a strong knowledge of Java, C, React, ReactJS, Node.js, Spring, and API integrations.
Expertise in Symfony for the back end, RESTful APIs, and testing them using the Postman tool.
Hands-on experience with database management, especially SQL, Microsoft SQL Server, and
NoSQL.
High-level knowledge in leveraging Git for version control workflows, including branching
strategies, merging, and troubleshooting conflicts. Possesses working knowledge of SVN for code
repositories.
Proven ability to navigate all phases of the Software Development Life Cycle, ensuring high-
quality software delivery through analysis, design, development, testing, and implementation.
Familiarity with integrating native mobile functionalities like maps, location, analytics,
notifications, permissions, and camera features.
Exposure to utilizing Asana for ticket allocation, management, and collaboration for the
application and webpage development.
Experienced in leveraging modern development tools including IDEs such as Eclipse, Pycharm
Community, IntelliJ IDEA, VS Code, Xcode, Jupyter Notebook, and Maven for efficient software
creation.
Education
University of North Texas | Denton, TX May 2024
Master of Science Data Science GPA: 4.0
Sri Vasavi Engineering College | Tadepalligudem, India May 2020
Bachelor of Technology Electronics and Communication Engineering GPA: 3.26
Technical Skills
Software:
Data Visualization: Tableau, PowerBi Desktop
Machine Learning Frameworks: TensorFlow, Jupyter, Pytorch
Database: MySQL, Microsoft SQL Server Management studios, NoSQL
Development Tools: X Code, Android Studio, VisualStudio
General Productivity: Microsoft Office Suite (Excel)
Statistical Package for the Social Sciences (SPSS)
Version Control System: GIT, GIT hub, and SVN (SubVersion) for code repository management.
Cloud Platforms: Google Cloud Platform
Programming Languages: Python, Java, JavaScript, React Native (HTML, CSS), ReactJS, Vue.JS, SQL,
exploratory data analysis, Manipulation and Visualization, data mining/ mapping, Natural Language
Processing and Machine Learning
Data Analytics Algorithms: Linear Regression, Logistic Regression, K-Mean, KNN, Neural Network,
ETL
Deep Learning: Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN)
Monitoring Tools: Asana, Jira
Employment Experience
Cinergy Technology, Inc. | Edison, NJ January 2024 May 2024
Data Scientist Intern:
Collaborated with Cinergy Technology, a growing financial services company, to optimize its
financial transaction processing system.
Employed cleaning techniques to ensure the data was clean and utilized data visualization libraries
from Python such as Matplotlib, Seaborn, and ggplot.
Utilized time series and ratio analysis for the sake of data analysis, as well as utilized Power BI and
Tableau for deeper analysis and accurate visualizations.
Employed Supervised Machine learning techniques such as Random Forest and Support Vector
Machine for the fraud detection analysis along with Unsupervised ones such as K means clustering
for anomaly detection such as unusual spending patterns. As well as Linear regression to identify
the Cost optimization trends.
Goloksoft Global Pvt. Ltd. | Hyderabad, India January 2021 July 2022
Application Developer:
Expertise in iOS and Android mobile application and web development using Xcode and front-end
development tools such as JavaScript, ReactJS, Vue.JS, React Native, HTML, and CSS.
Worked with native components, APIs, and Integrations like Map box, Google Maps, Places API,
LocationAPI, GoogleAnalytics Firebase, PushNotifications, Run time permissions, and Camera
API. Experience with Back-End frameworks such as Symphony and RESTfulAPI creation and
integration.
Expertise with Database Management with SQL and Microsoft SQL server management studios
and the NoSQL.
Proficient in Git for version control, including branch management, merging, and conflict
resolution, and Familiarity with SVN (Subversion) for code repository management.
SOFT SKILLS
Problem-Solving and Curiosity: Exceptional problem-solving skills coupled with a strong
curiosity and passion for understanding, navigating the nuances of different business models, and
learning new things.
Communication Skills: Demonstrated ability to effectively collaborate and communicate complex
technical analyses to a diverse audience, including business executives.
Adaptability and Flexibility: Highly flexible to adjust and adapt to new environments and
changing circumstances. Demonstrates resilience and openness to new ideas or methods.
ACADEMIC PROJECTS
Enterprise Self-Service Portal April 2023 May 2023
Created a Database using SQL server management studio for Employee-related data and wrote
several queries for different operations.
The Employee Database Project sought a comprehensive and user-friendly database system for
managing employee information.
Employees can access and update their personal information, job history, and qualifications owing
to the project's effective design and implementation of a secure, scalable database. The project
demonstrates its considerable contribution to effective personnel information.
Human Activity Recognition and Classification using ML October 2022 December 2022
Implemented machine learning techniques for the creation of analytical models. It is a subfield of
artificial intelligence founded on the notion that machines can learn from data, see patterns, and
make judgments with little human assistance.
The basic activities can create constructive feedback for numerous disease monitoring systems.
Jupyter Notebook with Anaconda is the Integrated Development Environment (IDE) utilized for
this project. Python is the programming language used. The expert-generated features improve
performance. It demonstrates the significance of expertise in obtaining more effective models.
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