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πŸ’« About Me:

Results-driven Data Science Professional currently working as a Financial market intern at Future First. Completed Master’s degree in Data Science. Proficient in Python, with expertise in statistical analysis, data manipulation, and predictive modeling. Skilled in communicating insights and collaborating with stakeholders to drive data-informed decisions.

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πŸ’» Tech Stack:

Python Java R AWS Anaconda Apache Spark Apache Hadoop Apache Kafka Apache Hive FastAPI Flask JWT OpenCV Apache Apache Airflow Postgres MySQL MicrosoftSQLServer Adobe Adobe Acrobat Reader Figma Canva Keras Matplotlib mlflow NumPy Pandas Plotly PyTorch scikit-learn Scipy TensorFlow GitHub Git Docker Power Bi Postman Jira

πŸ“Š GitHub Stats:




Muskan Khare's Projects

health-data-analysis-and-prediction-unraveling-obesity-trends icon health-data-analysis-and-prediction-unraveling-obesity-trends

This GitHub repository contains the code and documentation for the DM course project focusing on EDA and Regression Analysis. The project aims to provide a comprehensive analysis of the dataset assigned to the team, along with building and evaluating regression models using an end-to-end Machine Learning pipeline.

icc_world_cup_2023_prediction-t12 icon icc_world_cup_2023_prediction-t12

ICC World Cup 2023 Predictions: Unleash the power of Machine Learning to foresee cricket match outcomes. Analyze team performance and player stats for strategic insights. Your go-to resource at the intersection of sports and cutting-edge analytics.

market-basket-analysis-of-retail-stores icon market-basket-analysis-of-retail-stores

The main goal of this problem statement is to analyse the market basket, from large volumes of transactional data efficiently in lesser time than traditional database handling tools and libraries, and provide insights into the relationships between the products.

network_intrusion_detection_datamining icon network_intrusion_detection_datamining

This GitHub repository is dedicated to a data mining course project focusing on network intrusion detection using machine learning techniques. It provides resources and datasets for building and evaluating ML models to enhance network security. Ideal for students and researchers in the field of cybersecurity and data mining.

quora-question-answering-model icon quora-question-answering-model

The objective is to create an AI system capable of understanding and generating accurate responses to a variety of user queries, mimicking a human-like interaction.

student-mental-health-data-analysis icon student-mental-health-data-analysis

Nowadays students are suffering from various mental health issues due to some academic and non-academic reasons. This analysis is performed in order to study different factors affecting students’ mental health. The conclusions from data analysis performed also shows the awareness among students regarding their mental status.

vac-credit-risk-modeling icon vac-credit-risk-modeling

Develop a risk-based strategy to identify creditworthy customers for fresh loans using machine learning on the German credit dataset.

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