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Bandarvineetha

unit price: 120.00 CNY ≈ 16.80USD
in stock: 120
seller: Bandarvineetha , ID 116863


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**VINEETHA BANDAR**
(361) 742-1673 | bandarvineetha@gmail.com | https://www.linkedin.com/in/vineetha-bandar

### **EDUCATION**
**Texas A&M University, Kingsville, Texas**
*Master of Science in Computer Science* | Jan 2023 - May 2024 | GPA: 3.75/4
**Coursework:** Analysis & Algorithms, Cloud Computing, Operating Systems, Database Systems, Computer Networks, Compiler Design, Parallel Computing, AI

**Jawaharlal Nehru Technological University, Hyderabad, India**
*Bachelor of Technology in Computer Science* | Aug 2017 - Jul 2021 | CGPA: 8.1/10
**Coursework:** C, C++, Java, Python, Machine Learning, Computer Networks, Database Systems, Software Engineering, Math

### **TECHNICAL SKILLS**
- **Languages:** Python, Java, SQL, HTML/CSS, JavaScript, NoSQL
- **Frameworks & Platforms:** RDBMS, MySQL, MS SQL, Azure, AWS (Redshift, EC2, S3), ETL, Cassandra, MongoDB, Apache Airflow, PySpark, Databricks, Hadoop
- **CI/CD & Testing:** GitHub, Postman
- **Tools:** Informatica, Visual Studio, Excel, Linux, JIRA

### **WORK EXPERIENCE**
**Data Engineer | Accenture | Hyderabad, India** | Sep 2021 - Dec 2022
- Engineered ETL workflows using Informatica and SQL for data extraction, transformation, and loading.
- Optimized performance via data partitioning, tuning, and distributed processing strategies.
- Developed stored procedures, triggers, and views to support OLTP databases.
- Orchestrated cloud-based data integration and created Power BI dashboards for KPIs.

**Application Development Intern | Inmovidu Tech | Hyderabad, India** | Apr 2021 - Jul 2021
- Led ML-based diabetes prediction app development, achieving high accuracy through feature engineering.
- Collaborated cross-functionally to design a user-friendly interface and iterated based on feedback.

### **PROJECTS**
**Olympic Data Analysis & Prediction** | Aug 2023 - Dec 2023
- Built end-to-end pipeline using Azure, Databricks, and Apache Spark; visualized insights via Power BI.

**Streaming Analytics** | Aug 2022 - Dec 2022
- Analyzed real-time media data with AWS Kinesis, Glue, S3, and Athena; deployed ML recommendations.

**Language Recognition System** | Aug 2020 - Nov 2020
- Developed deep learning models for text-based language recognition, optimizing neural networks.

### **CERTIFICATIONS**
- Programming, Data Structures & Algorithms (Python) – NPTEL
- AWS Cloud Practitioner Essentials
- AWS Cloud Technical Essentials

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