"Welcome to my data analytics projects portfolio! Here, you'll find a collection of my data-driven endeavors showcasing the power of analytics in uncovering insights, solving problems, and driving decision-making. From exploratory data analysis to predictive modeling and beyond, each project offers a glimpse into my passion for transforming raw data into actionable insights. Feel free to explore, learn, and be inspired by the stories hidden within the numbers. Let's embark on a journey of discovery through the world of data analytics together!"
Telecom Customer Churn Analysis & Prediction
Project Information
Telecom Churn Prediction is a machine learning project that focuses on predicting customer churn in the telecom industry. Churn prediction is important for telecom companies because it helps them to retain their customers and reduce customer acquisition costs.
Skills Practiced
Data Analysis and Cleansing, Data Wrangling, Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, Prescriptive Analytics, Machine Learning Modeling, Visualization with Power BI
(Power BI, Power Query, Python, Pandas, Numpy, Microsoft Fabric, Delta Tables, Lakehouse, Apache Spark, Matplotlib, Sklearn, Logistic Regression)
Healthcare Analysis & Prediction
Project Information
The purpose of this project is to use data analysis to gain insights into the healthcare field, with a focus on specific facilities, treatments, and diseases. By studying patterns of diseases and predicting future occurrences, we can inform prevention and treatment strategies. The aim is to provide actionable insights that can help improve healthcare services, inform policy decisions, and enhance patient care, leading to better patient outcomes and an improved overall health system performance.
Skills Practiced
Data Analysis and Cleansing, Data Wrangling, Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, Prescriptive Analytics, Machine Learning Modeling, Visualization with Power BI
(Power BI, Power Query, Python, Pandas, Numpy, Matplotlib, Sklearn, Logistic Regression)
Human Resources Analysis
Project Information
This project turns raw data into actionable insights, offering a comprehensive view of key HR metrics and workforce trends. Dive deep into data and make informed decisions with our interactive visuals. Experience the power of data with this HR Analytics Power BI Project!
Skills Practiced
Data Analysis and Cleansing, Machine Learning Modeling, Visualization with Power BI, What-if Analysis with Power BI
(Power BI, Power Query, Python)
Hypothesis Testing in Healthcare
Project Information
The "Hypothesis Testing in Healthcare" project centers around the rigorous evaluation of drug safety through hypothesis testing methodologies. With a primary focus on scrutinizing adverse effects and demographic factors encountered during drug trials, this endeavor aims to offer critical insights vital for informed decision-making in the healthcare domain.
Skills Practiced
Data Analysis and Cleansing, Data Wrangling, Statistical Analysis, Exploratory Data Analytics, Hypothesis Testing, Data Visualization
(Python, Pandas, Matplotlib, Seaborn, ScipyStats, StatModels, Jupyter Notebooks, VS Code)
International Debt Statistics
Project Information
In this comprehensive analysis of international debt statistics sourced from The World Bank, we've uncovered valuable insights into the global economic landscape. By exploring various dimensions of debt accumulation, from total debt amounts to specific debt indicators and country-level debt profiles, we've gained a nuanced understanding of the challenges and opportunities facing nations worldwide.
Skills Practiced
Data Analysis and Cleansing, Data Wrangling, Statistical Analysis, Exploratory Data Analytics, Data Visualization
(Python, Pandas, PandaSql, SQL, Jupyter Notebooks, VS Code)
ETL Process with SSIS
Project Information
This project has provided a comprehensive overview of building an ETL pipeline using SSIS (SQL Server Integration Services). Through the Extract, Transform, and Load process, we have demonstrated the essential steps involved in transferring data from a flat file source to a relational database.
Skills Practiced
Data Wrangling, Data Extraction, Data Transformation, Data Ingestion, Data Cleansing, Data Pipelines
( SSIS (SQL Server Integration Services), Visual Studio, SQL Server Management Studio, Jupyter Notebooks)
Analyzing Students Mental Health
Project Information
This project is a comprehensive exploration into the mental health of international students, delving into how their experiences in a foreign academic environment impact their well-being. Through the analysis of extensive data using advanced SQL queries and visualizations, we uncover the nuanced effects of cultural adaptation, social connectedness, and the length of stay on students’ mental health.
Skills Practiced
Data Analysis and Cleansing, Data Wrangling, Statistical Analysis, Exploratory Data Analytics, Data Visualization
(Python, Pandas, PandaSql, SQL, Jupyter Notebooks, VS Code)
Time Series Forecasting with Python
Project Information
This project revolves around the construction and application of the ARIMA model, a statistical beacon for time series analysis. ARIMA, an acronym for AutoRegressive Integrated Moving Average, is renowned for its proficiency in capturing and forecasting inherent patterns in temporal data.
Skills Practiced
Data Analysis and Cleansing, Data Wrangling, Statistical Analysis, Exploratory Data Analytics, Data Visualization, Predictive Modeling, Machine Learning
(Python, Pandas, Matplotlib, Statmodels, Sklearn, Numpy, Jupyter Notebooks, VS Code)
