Dedicated and detail-oriented Data Analyst with a solid background in data manipulation, visualization, statistical analysis, and machine learning. Proficient in translating data into actionable insights to support infor…
Dedicated and detail-oriented Data Analyst with a solid background in data manipulation, visualization, statistical analysis, and machine learning. Proficient in translating data into actionable insights to support informed decision-making. Experienced in applying machine learning techniques for predictive modeling, classification, and clustering to extract deeper insights from data.
Imported and manipulated data using Pandas and NumPy.
Performed data preprocessing tasks such as handling missing values and converting data types.
Conducted exploratory data analysis (EDA) to understand the dataset and identify key trends and patterns.
Scaled numerical features using the Standard Scaler.
Ensured that data was appropriately scaled for machine learning models.
Used logistic regression for classification.
Evaluated the performance of machine learning models using various evaluation metrics.
Used Power BI for data visualizations, dashboards, and insights.
Scraped job data from Naukri.com using Python libraries including Selenium and BeautifulSoup4.
Performed exploratory data analysis (EDA) to clean the dataset, addressing null values and missing data.
Used Power BI for data visualizations, dashboards, and insights.
Collected data from Tata 1mg using Python libraries.
Consolidated data in Excel from various sources.
Preprocessed and cleaned the data.
Created Power BI visualizations for insights.
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