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Summary
Skills
Software
Work History
Education
Languages
Personal Projects
Interests
Generic
Aleksandra Ristic

Aleksandra Ristic

Shreveport,LA

Links:

LinkedIn: https://www.linkedin.com/in/aaleksandraristic/

GitHub: https://github.com/aaleksandraristic

Summary

Passionate about data science and committed to achieving excellence, I am driven by my strong interest in machine learning, statistical analysis, and data management. Recognized for academic achievement and leadership, I leverage my analytical skills to solve complex problems and drive innovative solutions. Eager to expand my knowledge, I am known for my quick learning ability and thrive in both independent and collaborative team environments. I am dedicated to applying data-driven insights to make a meaningful impact in dynamic and forward-thinking organizations.

Skills

  • Python Programming
  • SQL Queries
  • Machine Learning & AI
  • Database Development
  • Data Cleaning & Preprocessing
  • Tableau & PowerBI
  • Statistical Analysis
  • Advanced MS Excel
  • Git & GitHub
  • Team Leadership & Project Management

Software

Programming: Python

Statistical Analysis: SPSS, NumPy, pandas

Machine Learning: Scikit-Learn, TensorFlow, PyTorch, Keras

Data Visualization: Tableau, Power BI, Matplotlib, Plotly

Version Control: Git

Excel: Advanced functions for data analysis

SQL: MySQL, SQL Server

Database Design: Schema design, normalization, indexing

Data Modeling: ER Win/Studio, Lucidchart, EdrawMax, UML

Work History

Research Assistant, Data Science

Louisiana State University Shreveport
Shreveport, LA
01.2023 - 05.2024
  • Implemented supervised and unsupervised learning algorithms (random forest, KNN, SVM, logistic regression) in Python for predictive analytics projects.
  • Conducted exploratory analysis on large datasets employing SQL and Python libraries.
  • Evaluated model performance with metrics including accuracy, precision, F1 score, and AUC.
  • Optimized model parameters using grid search, random search, and Bayesian optimization.
  • Explored AI and ML applications in healthcare and finance domains.
  • Demonstrated strong problem-solving skills in resolving technical challenges

Project Manager, Data Analytics

LSU Shreveport
Shreveport, LA
01.2023 - 05.2024
  • Managed cross-functional teams, prioritizing project goals and ensuring on-time delivery.
  • Led weekly meetings (Scrum) to discuss progress, address challenges, and plan future activities.
  • Prepared detailed reports summarizing trends and insights, offering actionable insights.
  • Developed logical and physical database models using ERwin and Lucid Data Modeler.
  • Implemented security measures (authentication, authorization, encryption, access control) and developed database objects (stored procedures, triggers, tables, views, functions) using T-SQL.
  • Demonstrated proficiency in utilizing SPSS, Excel PowerPivot, and SQL to conduct advanced analytics and manipulate large structured and unstructured datasets.

Education

Master of Science - Computer Science

Louisiana State University Shreveport
Shreveport, LA
05.2024

Bachelor of Digital Economics - Information Systems in Economy

UNION University
Belgrade, Serbia
06.2022

Languages

English
Full Professional
Serbian
Native/ Bilingual

Personal Projects

The Analysis of Student Development Data | June 2023 - August 2023 | LSU Shreveport
- Data Collection, Cleaning & Preprocessing (Excel, Macros, Pivot Tables, VBA)
- Database Design & Development (MS Access, SQL Queries)
- Data Integration, Analysis & Visualization (PowerBI, SPSS)
- Project Management & Non-Technical Communication
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SQL Database - Student Admissions Portal (SAP) | June 2023 - August 2023 | LSU Shreveport
- Database Design & Development (SQL Queries, Stored Procedures, Triggers)
- Front-End and Back-End Connectivity
- Security Plan Development (User Authentication)
- Team Leadership & Project Management
______________________________________________________________________


ML Predictive Models - GA Time Series Prediction | Aug 2023 - Dec 2023 | LSU Shreveport
- Data Collection, Cleaning & Preprocessing (Python, Excel)
- Data Visualization (Plotly, Matplotlib, Pandas)
- Machine Learning Predictive Model Development, Fine-Tuning & Evaluation
- Project Management
______________________________________________________________________


Capstone Project - MealTime Android App | Aug 2023 - May 2024 | LSU Shreveport
- Team Leadership & Project Management
- Agile Methodologies (Scrum)
- GitHub Issues & Progress Management (Git, GitHub)
- Database Development (SQLite)

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** Please check my GitHub profile for more details: https://github.com/aaleksandraristic

Interests

Data Analytics

Machine Learning Algorithms

Reinforcement Learning

Supervised and Unsupervised Learning

Database Development & Management

Predictive Analysis

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Aleksandra Ristic