https://github.com/sayed-ashfaq/creditcard_frauddetection_nn

Built my first Neural Network model that detects the fraud alerts in any transaction done by the users.

deep-learning finance fraud-detection keras-tensorflow neural-networks tensorflow

Last synced: 18 Apr 2026

https://github.com/sayed-ashfaq/customer-churn-prediction

This project predicts customer churn (whether a customer will leave the service or not) using machine learning models. The model is deployed using Flask, allowing users to upload a CSV file and get predictions.

Last synced: 24 Apr 2026

https://github.com/sayed-ashfaq/questions_generator

Wanna Test your knowledge on specific topic, Here's the solution - Select topic and level of difficulty. Wallah, Test your understanding by answering the questions.

Last synced: 17 Aug 2025

https://github.com/sayed-ashfaq/scaler-clustering

Clustering Learners for more personalized treatment

Last synced: 17 Aug 2025

https://github.com/sayed-ashfaq/flashcards-generator

Create Flash cards based on topics and difficulty level

Last synced: 17 Aug 2025

https://github.com/sayed-ashfaq/loantap_logistic_regression

Fully functional Logistic Regression model that predicts whether a person can pay off the loan or not based on this history and profile.

Last synced: 17 Aug 2025

https://github.com/sayed-ashfaq/youtuberag-app

A powerful GenAI application that summarizes YouTube videos and answers questions based on video content using LLMs, embeddings, and semantic search. Built using LangChain, Gemini Pro, ChromaDB, and deployed with Flask.

Last synced: 31 Aug 2025

https://github.com/sayed-ashfaq/rag_ete

Industry level End to End RAP application

Last synced: 17 Aug 2025

https://github.com/sayed-ashfaq/netflix_datacleaning

Netflix data analysis highlights significant null values, requiring cleaning and visualization to uncover viewer trends and regional insights. Improving data quality, personalizing recommendations, and targeting untapped markets can drive growth and profitability.

matplotlib-pyplot numpy-library pandas-library python seaborn-plots

Last synced: 25 Aug 2025

https://github.com/sayed-ashfaq/sayed-ashfaq

Personal Achievements

Last synced: 24 Jan 2026

https://github.com/sayed-ashfaq/ecomm-mcp-prod-assistant

Last synced: 03 Sep 2025

https://github.com/sayed-ashfaq/iss_tracker

This is a ISS tracker that will track the International Space Station and when it reaches near your location coordinates when it is dark then it will send a mail to inform to look up. if you have a telescope then you can see it.

api json

Last synced: 25 Apr 2026

https://github.com/sayed-ashfaq/stock-alert

This project is a Python-based application that monitors the stock price of a specified company. If a significant change in stock price is detected, the system fetches the latest news articles about the company and sends an alert via WhatsApp.

Last synced: 25 Mar 2025

https://github.com/sayed-ashfaq/target-sql

In this project, I analyzed Target company's data using SQL in BigQuery, focusing on data extraction, manipulation, and performing various analytical queries to derive insights.

aggregation bigquery cte joins sql

Last synced: 09 Apr 2025

https://github.com/sayed-ashfaq/aerofit-datavisualization

This project focuses on extracting insights through data visualization and probability methods, including Bayes' theorem and conditional probability, to analyze sales trends and uncover key patterns for actionable insights.

Last synced: 30 Jan 2026

https://github.com/sayed-ashfaq/tableaudashboard-sales-customer

I designed interactive Tableau dashboards with navigation, parameters, and clickable charts. Key features include KPIs, bar charts, and trend charts for sales and customer insights, enabling dynamic and actionable visualizations.

bar-charts kpi tableau-dashboards tableau-public trend-line-chart

Last synced: 28 Feb 2026

https://github.com/sayed-ashfaq/yulu-hypothesistesting

In this project, I analyzed Yulu bikes' usage patterns by performing data visualization and applying various hypothesis testing methods. This included statistical tests, chi-square tests, variance testing, QQ plots, and checking for normal distribution to uncover insights related to customer usage and behavior.

anova-test chisquare-test hypothesis-testing pandas-dataframe python scipy-stats seaborn ttest

Last synced: 17 Apr 2026

https://github.com/sayed-ashfaq/walmart_dataanalysis

This project focuses on extracting insights from raw data through various analyses, including exploring distributions, visualizing data with plots, and calculating measures of central tendency. The goal is to uncover meaningful patterns and trends within the dataset.

boxplot-visualization matplotlib-pyplot normal-distribution numpy-library pandas-dataframe python seaborn

Last synced: 18 Apr 2026

https://github.com/sayed-ashfaq/delhivery-dataanalysis

In this project, I conducted basic analysis, feature engineering, normalization, and outlier handling, along with statistical and non-parametric testing to extract insights.

feature-engineering normalization outlier-detection pandas python scikit-learn statistcal-tests statistical-analysis

Last synced: 30 Apr 2026

https://github.com/sayed-ashfaq/aviation-accidents-eda

This project analyzes aviation accident data to identify trends, contributing factors, and patterns that impact flight safety. The goal is to derive insights that can help improve aviation safety and reduce the likelihood of accidents.

Last synced: 22 Apr 2026

https://github.com/sayed-ashfaq/document-rag-app

Document Portal is an AI-powered RAG app for PDFs, enabling users to analyze, chat, and compare documents with logging, custom exceptions, and session management for reliable, production-ready workflows.

langchain python rag-chatbot

Last synced: 02 May 2026

https://github.com/sayed-ashfaq/stocksnapai

RAG app that helps to analyze the stock, news, kpi's and reports

Last synced: 04 Oct 2025