Lasya Priya
lasyakonduru
Turning data into decisions 🚀 | AWS Certified Data Analytics Specialist | Predictive Modeling, Visualization Ninja, and Machine Learning Enthusiast | Exploring
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Repos
25
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3
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1
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Python
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Top Repositories
This project analyzes e-commerce order fulfillment using Advanced SQL Techniques and Python-based visualization to uncover insights on sales trends, customer segmentation, shipping cost optimization, and payment preferences.
This project is a Power BI dashboard for automating returns reconciliation, analyzing late returns, quantity mismatches, and supplier performance using simulated data. Enables faster audits with visual insights into claim discrepancies and return policy violations.
🎯 Personal Portfolio Web App built with Streamlit Showcasing my skills, projects, education, certifications, and experience through an interactive and responsive UI — powered by Python, Plotly, and Lottie animations.
Social Media Automation
The goal of this project is to build a classification model that can predict passenger satisfaction (Satisfied / Neutral or Dissatisfied) based on a variety of features, including flight distance, service ratings, delay durations, and demographic data.
Repositories
25No description provided.
🎯 Personal Portfolio Web App built with Streamlit Showcasing my skills, projects, education, certifications, and experience through an interactive and responsive UI — powered by Python, Plotly, and Lottie animations.
Social Media Automation
This project analyzes e-commerce order fulfillment using Advanced SQL Techniques and Python-based visualization to uncover insights on sales trends, customer segmentation, shipping cost optimization, and payment preferences.
The goal of this project is to build a classification model that can predict passenger satisfaction (Satisfied / Neutral or Dissatisfied) based on a variety of features, including flight distance, service ratings, delay durations, and demographic data.
This project focuses on developing an AI agent using a Large Language Model (LLM) — specifically LLaMA-2 — to assist in predictive analytics.
No description provided.
A personal portfolio website built using Next.js, React, and Tailwind CSS to showcase projects, skills, and work experience. Actively maintained with regular updates and improvements.
This project is a Power BI dashboard for automating returns reconciliation, analyzing late returns, quantity mismatches, and supplier performance using simulated data. Enables faster audits with visual insights into claim discrepancies and return policy violations.
LifeCheck is a smart health assistant that helps users assess their health risks, predict conditions, and make informed decisions about their well-being.
A powerful and user-friendly tool for analyzing sentiments in text and datasets. This app leverages advanced sentiment analysis techniques to provide real-time insights, helping users classify text as Positive, Negative, or Neutral, and visualize sentiment trends for better decision-making.
This project implements sentiment analysis on restaurant reviews using TextBlob and VADER to classify customer feedback as positive or negative. By comparing model performances, it identifies the most effective approach for sentiment evaluation, offering actionable insights to enhance customer experience and optimize business strategies.
Analysis of sales performance and operational efficiency in a superstore using AWS Athena and QuickSight
Feedforward Neural Network for Churn Prediction
This project focuses on multi-class image classification using CNNs with the CIFAR-10 dataset. It compares a baseline and an enhanced model to classify 10 categories, including trucks, for real-world applications like preventing deer-vehicle collisions. Includes architecture, training, and evaluation insights.
Decoding the Dynamics of Social Media Engagement and Article Popularity
No description provided.
This is a model building project of Bayesian Logistic Regression for Classification of Rice Varieties, which leads to an Analysis of Morphological Features in Cammeo and Osmancik
This To-do lists everything that the user wants to do, with the most important tasks at the top of the list, and the least important tasks at the bottom. And by prioritizing tasks the user can know what tasks need their immediate attention and what you can leave until later.
The website "Healthy You Blog" is an online platform dedicated to promoting wellness and a healthy lifestyle. It features a clean, user-friendly interface to engage visitors with health-related content.
Analyzing the factors that influence a customer's progression from merely browsing to actually making a purchase can provide actionable insights for enhancing the sales funnel, improving customer experience, and potentially increasing revenue.
Using the statistical data visualization tool Seaborn, we will investigate and find patterns within the Wisconsin Breast Cancer (Diagnostic) Data Set. This project will focus on exploratory data analysis (EDA) by utilizing visual representations to detect and comprehend inherent connections within the dataset.
Creating a chatbot, for a pizza store, is to improve the productivity of customer-facing teams and reduce the workload caused by live chat.
No description provided.
A robot powered training repository :robot: