Pinned Repositories
cs50-pset1
cs50-pset2
cs50-pset3
cs50-pset4
Ego-splitting-Framework-from-Non-Overlapping-to-Overlapping-Clusters
Created Ego-Network Analysis Framework in C++, R, and Python, emphasizing overlapping clusters. Features CSV parsing, node adjacency, and connected component analysis. Systematic approach for persona graph construction elevates network analysis in domains like social network analysis.
HRAnalytics
"Within the realm of HR analytics, adeptly employed Power Query for thorough data processing. Utilized DAX to meticulously formulate efficient KPIs, expeditiously generating attendance insights. Streamlined data loading, presenting dynamic graphs for nuanced analysis of Work from Home %, Sick Leave %, and Presence %.
Membership-Inference-Attack
Developed a privacy attack assessing individual data usage in model training. Implemented diverse shadow models (XGBoost, Random Forest, Linear Regression, Perceptron, AdaBoost, SVM, Hist Gradient Boosting) to evaluate data privacy in machine learning. Proficient in data manipulation and comprehensive data privacy assessment methodologies.
PwCPowerBI
Completed PwC certification projects showcase my expertise in data visualization and strategic insights. Leveraging Power Query, I optimized data loading. DAX calculations were enhanced, reducing report processing time.
Rain-Prediction-DataAnalytics
Analyzed a 23-feature dataset, targeting 'RainTomorrow' for weather insights. Conducted thorough data gathering, preprocessing, and feature selection. Evaluated diverse models (Logistic Regression, Random Forest, Decision Trees, K-means, K-nearest neighbors, Hierarchical clustering) and employed technical metrics for in-depth performance analysis.
TokyoOlympicDataAnalytics-Azure
Ingested Tokyo Olympic data into Azure Data Lake using Azure Data Factory. Enhanced data quality with Apache Spark on Azure Databricks. Optimized SQL queries on Synapse Analytics, reducing execution time. Developed engaging Power BI dashboards, boosting user engagement creating KPI's with DAX.
sairajindroju's Repositories
sairajindroju/Rain-Prediction-DataAnalytics
Analyzed a 23-feature dataset, targeting 'RainTomorrow' for weather insights. Conducted thorough data gathering, preprocessing, and feature selection. Evaluated diverse models (Logistic Regression, Random Forest, Decision Trees, K-means, K-nearest neighbors, Hierarchical clustering) and employed technical metrics for in-depth performance analysis.
sairajindroju/TokyoOlympicDataAnalytics-Azure
Ingested Tokyo Olympic data into Azure Data Lake using Azure Data Factory. Enhanced data quality with Apache Spark on Azure Databricks. Optimized SQL queries on Synapse Analytics, reducing execution time. Developed engaging Power BI dashboards, boosting user engagement creating KPI's with DAX.
sairajindroju/cs50-pset1
sairajindroju/cs50-pset2
sairajindroju/cs50-pset3
sairajindroju/cs50-pset4
sairajindroju/Ego-splitting-Framework-from-Non-Overlapping-to-Overlapping-Clusters
Created Ego-Network Analysis Framework in C++, R, and Python, emphasizing overlapping clusters. Features CSV parsing, node adjacency, and connected component analysis. Systematic approach for persona graph construction elevates network analysis in domains like social network analysis.
sairajindroju/HRAnalytics
"Within the realm of HR analytics, adeptly employed Power Query for thorough data processing. Utilized DAX to meticulously formulate efficient KPIs, expeditiously generating attendance insights. Streamlined data loading, presenting dynamic graphs for nuanced analysis of Work from Home %, Sick Leave %, and Presence %.
sairajindroju/Membership-Inference-Attack
Developed a privacy attack assessing individual data usage in model training. Implemented diverse shadow models (XGBoost, Random Forest, Linear Regression, Perceptron, AdaBoost, SVM, Hist Gradient Boosting) to evaluate data privacy in machine learning. Proficient in data manipulation and comprehensive data privacy assessment methodologies.
sairajindroju/PwCPowerBI
Completed PwC certification projects showcase my expertise in data visualization and strategic insights. Leveraging Power Query, I optimized data loading. DAX calculations were enhanced, reducing report processing time.
sairajindroju/cs50-pset5
sairajindroju/sairajindroju.github.io
sairajindroju/SeedBasedDeano
sairajindroju/smart-attendance-using-machine-learning
sairajindroju/StockPricePrediction