Harsha Marathe

Dedicated and adaptable professional with a proactive attitude and the ability to learn quickly. Strong work ethic and effective communication skills. Eager to contribute to a dynamic team and support organizational goals.

1)Superstore-Campaign Project: The superstore wants to predict the likelihood of the customer giving a positive response and wants to identify the different factors which affect the customer’s response. You need to analyze the data provided to identify these factors and then build a prediction model to predict the probability of a customer will give a positive response., Data Loading, EDA, Data Visualization, Data Preprocessing, feature selection, Feature Engineering, Model Building, Model deployment., One challenge I encountered during data analysis involved converting a date column & extracting age and year information from it. To address this, I utilized Python’s datetime library to convert the date column into a datetime object. Then, I calculated age and year by subtracting the birth date from the current date. This enabled accurate age and year extraction, facilitating deeper insights into demographic trends within the data., git@github.com:HarshaMarathe/Superstore-Project.git 

2)Sales Dashboard Using Power BI,: To contribute to the success of a business by utilizing data analysis techniques, specifically focusing on time series analysis, to provide valuable insights and accurate sales forecasting., The objectives can be broken down into the following components. 1. Dashboard Creation: Identify the KPI's, design & an intuition and visually appealing dashboard, add interactive visualizations and filtering allow users to explore the data at various levels of granularity. 2. Data Analysis: Provide valuable insights to business entities regarding the effectiveness of their sales strategies through visualization and charts. 3. Sales Forecasting: Leverage historic data and apply time series generate sales forecasts for next 15 days. 4. Actionable insights and Recommendations: End goal is to insights and actionable information that can drive strategic decision support the supermarket's goals for growth, efficiency, satisfaction., git@github.com:HarshaMarathe/-Power-BI-Dashboard-for-superstore-sales.git

3)Coffee shop Sales Dashboard in MS-Excel: The main objective of this project is to analyze retail sales data to get meaningful actionable insights that wuill enhance the performance of coffee shop.

• Data science Intern certificate
• Data analyst intern certificate