Quality Health Associates of North Dakota的动态

I'm excited to share that I got promoted at SUN and will relocate to Philadelphia to join the Trading & Risk team as a data scientist. After 2,000+ hours of coding, I've learned it's easy to mislead with data. Cherry-picking rows to add or drop, calculating misleading percentages, overemphasizing statistical significance, and misrepresenting visuals can create mathematically correct but practically misleading insights. Lying with data is easy; what's difficult is pairing the right questions with sound statistical methods. So here's a better approach: 1) define the problem, 2) reframe the problem through different perspectives (how does this problem look for different teams?), 3) construct a hypothesis, 4) select a method, 5) acknowledge the method's limitations and assumptions, 6) test results, and 7) decide to maintain or change your view based on the evidence. I'm happy to work for a company that promotes intellectual honesty and can't wait to give my all in my new role! ??

What inspired you to become a business analyst? ?? My passion for problem-solving and analyzing data, coupled with a desire to bridge the gap between business needs and technical solutions, inspired me to pursue a career as a business analyst. I thrive on understanding complex systems and using insights to drive strategic decisions.

I'm thrilled to share that I have completed my second task as data analyst at CODTECH IT SOLUTIONS Topic : Predictive modelling with linear regression Objective : The project aims to predict median house values based on median income using a simple linear regression model. The model is trained on the California Housing dataset, and its performance is evaluated using Mean Squared Error (MSE) and R-squared (R2) metrics.

Road mab to become a data analyst

On my way to becoming a Data Analyst!

I'm excited to share a new project I've been working on: an interactive HR Analytics Dashboard designed to provide insightful data visualizations for effective human resource management. Key Features: Attrition Analysis: By job role, age group, gender, and salary slab to identify turnover trends. Compensation Insights: Average monthly income and hourly rates by job role for salary benchmarking. Job Satisfaction: Levels across various roles to aid in employee engagement efforts. Departmental Breakdown: Detailed departmental analysis for targeted HR strategies. Business Travel Impact: Assessment of travel frequency on attrition rates. Benefits: Enhanced Decision-Making: Provides critical insights for strategic HR planning. Increased Efficiency: Streamlines analysis processes. Improved Employee Retention: Identifies key factors influencing turnover.

You notice this because of your own insecurities as an analyst. The imposter syndrome that strikes you when starting a new role is so evident, until you realise that everyone is on the same learning curve that you are in. ?? #DataAnalyticsJourney

I always say that a major difference between a senior and junior analyst is that the senior knows exactly what to research.

Embark on a transformative journey as I embark on my second Master's degree in Business Analytics! ?? Passionate about harnessing data to drive meaningful change, I'm eager to expand my expertise and pursue a career in this exciting field.