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Narendra  Choudhary

Narendra Choudhary

Data Scientist & Analyst | Python | M L | ,EXCEL, SQL | Dash

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Cover image for Netflix movie data visualization ,
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Netflix movie data visualization , This project focuses on analyzing the Netflix dataset using Python and Jupyter Notebook to discover meaningful insights and trends. The main objective was to perform Exploratory Data Analysis (EDA) and understand patterns in Netflix movies and TV shows. The project involved data cleaning, preprocessing, handling missing values, and preparing the dataset for analysis. Different aspects of Netflix content were explored, including content types, genres, release year trends, ratings, and overall distribution. Skills and deliverables Data analysis Data cleaning Data processing Data visualization Python Jupyter Notebook pandas NumPy SQL
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Cover image for House Price Prediction is a machine learning model that esti...
House Price Prediction is a machine learning model that estimates house prices using features like area, bedrooms, bathrooms, age, and location score. It provides fast and accurate property price predictions Skills and deliverables Machine Learning Model Jupyter notebook Python Linear Regression Python Scikit-Learn Matplotlib Libraries like Pandas,NumPy,Matplotlib,Seaborn ,Scikit-learn...
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Cover image for The AI Sales Prediction and
The AI Sales Prediction and Business Dashboard project uses Machine Learning to analyze historical sales data and predict future sales. It also provides interactive dashboards to visualize sales trends, profit, category-wise performance, and regional analysis. This project helps businesses make data-driven decisions and improve overall performance Skills and deliverables Machine Learning Business Analysis Data Cleaning Data Visualization Exploratory Data Analysis Data processing
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Cover image for Developed an interactive sales analytics
Developed an interactive sales analytics dashboard in Microsoft Excel to transform raw sales data into meaningful business insights. Utilized Pivot Tables, Pivot Charts, advanced Excel formulas, slicers, and conditional formatting to analyze sales performance across products, regions, customers, and time periods. Identified key trends, top-performing categories, revenue growth opportunities, and profit metrics, enabling data-driven decision-making through a clear and user-friendly dashboard. Skills and deliverables Microsoft Excel Data Analysis Data Cleaning Data Processing Dashboard Slicer Pivot charts
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