Vaishnavi Uppula
Denton,Texas
Summary
Motivated and technically adept Computer Science Professional with a strong foundation in C, Python, and Java, alongside hands-on experience in developing innovative solutions through hackathon projects and professional expertise as a Programmer Analyst at Cognizant. Proficient in designing, implementing, and optimizing software applications and data-driven systems. Passionate about solving complex problems and leveraging technical expertise to contribute to organizational success. Recognized for creativity and collaboration in high-pressure environments, driving impactful results.
Overview
2
2
years of professional experience
1
1
Certification
Work History
Programmer Analyst
Cognizant
Hyderabad, Telangana
04.2021 - 11.2022
- Analyzed complex data sets to identify patterns and deliver innovative solutions, enhancing operational efficiency.
- Collaborated with cross-functional teams to design and implement scalable data processing pipelines.
- Optimized system performance by refining existing processes and enhancing query efficiency.
- Developed and presented comprehensive dashboards and reports using SQL, Python, and Tableau.
Internship
Cognizant
Hyderabad, Telangana
01.2021 - 03.2021
- Developed predictive models to address business challenges using statistical and machine learning techniques.
- Performed exploratory data analysis (EDA) and visualized insights to aid in strategic decision-making processes.
- Automated data collection and preprocessing workflows to enhance efficiency.
Education
Master of Science - Computer Science
University of North Texas
Denton, TX12-2024
Bachelor of Technology - Computer Science And Engineering
Sreenidhi Institute of Science And Technology
Hyderabad06-2022
Skills
- Programming Languages: Python, SQL, R, Java, C, C
- Data Analytics & Visualization: Tableau, Power BI, Matplotlib, Seaborn
- Machine Learning: Scikit-learn, TensorFlow, Keras
- Databases: MySQL, PostgreSQL, MongoDB
- Tools & Platforms: AWS, Azure, Hadoop, Spark, Git
Projects
Sales Forecasting Using Machine Learning
- Built a regression model to predict monthly sales for retail chains using Python and Scikit-learn.
- Conducted data cleaning, feature engineering, and hyperparameter tuning to enhance model accuracy.
- Delivered insights to optimize inventory management and improve revenue forecasting.
Hackathon Project
AI-Powered Personal Finance Assistant
- Created a financial management tool using Python and machine learning algorithms.
- Enabled users to track expenses, set budgets, and receive personalized financial advice.
Certification
- Microsoft Power BI Data Analyst Associate
- AWS Certified Machine Learning
- Python HackerRank
Timeline
Programmer Analyst
Cognizant
04.2021 - 11.2022
Internship
Cognizant
01.2021 - 03.2021
Master of Science - Computer Science
University of North Texas
Bachelor of Technology - Computer Science And Engineering
Sreenidhi Institute of Science And Technology
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