Pravallika Uppala

MS Computer Science | Data Analyst

Pravallika Uppala

Education

University of Alabama at Birmingham
MS in Computer Science (Jan 2023 – Apr 2024)
GPA: 3.5/4



Geethanjali College of Engineering and Technology
B.Tech in Computer Science Engineering (Jul 2016 – Sep 2020)
GPA: 8.5/10

Skills

Programming Languages

Python

R

C




Data Visualization & BI

Tableau

Power BI

Excel




Machine Learning & AI

CNN

RNN

Deep Learning

NLP

Generative AI




Databases

SQL

MySQL

PostgreSQL

MongoDB




Frameworks & Libraries

TensorFlow

Keras

PyTorch

Scikit-learn




Tools & Technologies

Git

GitHub

GIS Software

Annotation Tools




Other Skills

ETL/ELT Workflows

Automation




Experience

Data Analyst Intern, AKC Systems (Aug 2024 – Present)
• Conducted data analysis for retail and e-commerce clients, improving demand forecasting and inventory optimization. • Designed and automated ETL processes for handling large-scale transaction data, ensuring data integrity and consistency. • Built interactive dashboards in Tableau and Power BI to visualize customer purchase behavior and sales trends.



Assistant System Engineer, Tata Consultancy Services (Jan 2021 – Dec 2022)
• Worked on a Citi Bank project, handling banking and financial data analysis to support business intelligence reporting. • Handled the execution of daily batch jobs for a Citi Bank project, ensuring they were completed on time and with accuracy. Monitored job queues and used tools to identify potential errors or bottlenecks. • Designed and optimized SQL queries to extract, transform, and analyze transactional banking data for fraud detection and compliance audits.

Projects

Sentiment Analysis on Amazon Product Reviews
View Project
Used support vector machine for sentiment prediction on Amazon product reviews.


Chatbot using Pretrained LLM (OpenAI's GPT)
View Project
Developed a Streamlit-based chatbot leveraging OpenAI’s GPT to interact with domain-specific knowledge from uploaded PDF files. Processed and chunked text using PyPDF2, generated embeddings via OpenAIEmbeddings, and stored them in FAISS for similarity search. Implemented a RetrievalQA chain to generate relevant responses.


Annotation of COCO Dataset using CNN
View Project
Used convolutional neural networks to automate COCO dataset annotation.


Certifications

Generative AI for Beginners - View


An Introduction to GIS & QGIS - View

Contact

Email: uppalapravallika09@gmail.com


GitHub: github/Pravallika1234uppala