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.
<p>Imported and manipulated data using Pandas and NumPy.<br>
Performed data preprocessing tasks such as handling missing values and converting data types.<br>
Conducted exploratory data analysis (EDA) to understand the dataset and identify key trends and patterns.<br>
Scaled numerical features using the Standard Scaler.<br>
Ensured that data was appropriately scaled for machine learning models.<br>
Used logistic regression for classification.<br>
Evaluated the performance of machine learning models using various evaluation metrics.<br>
Used Power BI for data visualizations, dashboards, and insights.</p>
<p>Scraped job data from Naukri.com using Python libraries including Selenium and BeautifulSoup4.<br>
Performed exploratory data analysis (EDA) to clean the dataset, addressing null values and missing data.<br>
Used Power BI for data visualizations, dashboards, and insights.</p>
<p>Collected data from Tata 1mg using Python libraries.<br>
Consolidated data in Excel from various sources.<br>
Preprocessed and cleaned the data.<br>
Created Power BI visualizations for insights.</p>
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