π A passionate data enthusiast, building a strong background in data science and analytics.
π I have completed my latest project on predicting lead conversions for an edtech company using Logistic Regression, achieving an Accuracy - Precision - Recall of 80%
GitHub link.
π I am currently learning Machine Learning, Power BI
π¨ Ask me about Python, EDA, SQL queries, Excel.
π€Ή I love solving complex problems and continuously improving my skills through hands-on projects and collaboration.
π Connect with me at LinkedIn
π―
Focusing
Data enthusiast | Excel, SQL, Python | Continuous learner | Let's analyze together!
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Binary-Classification-of-Insurance-Cross-Selling
Binary-Classification-of-Insurance-Cross-Selling PublicPredicting customer insurance uptake using a Decision Tree model.
Jupyter Notebook
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Car_price_prediction
Car_price_prediction PublicPrediction Car prices using a Linear Regression model
Jupyter Notebook
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Titanic_Survival_Predictor
Titanic_Survival_Predictor PublicPredicting Titanic Survivors using a Logistic Regression model
Jupyter Notebook
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Predictive_Lead_Scoring_for_Edtech
Predictive_Lead_Scoring_for_Edtech PublicPredicting lead conversion rates using a Logistic Regression model for an EdTech company.
Jupyter Notebook
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If the problem persists, check the GitHub status page or contact support.
If the problem persists, check the GitHub status page or contact support.