@datascibykashi: For my 𝒔𝒆𝒄𝒐𝒏𝒅 𝒕𝒂𝒔𝒌 during the internship at 𝐃𝐚𝐭𝐚 𝐙𝐞𝐧𝐢𝐱 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧, I worked on a project titled: 📊 𝐔𝐧𝐞𝐦𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 𝐑𝐚𝐭𝐞 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐚𝐧𝐝 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐨𝐧 (𝟐𝟎𝟎𝟎–𝟐𝟎𝟐𝟑) ✨ 𝐒𝐜𝐨𝐩𝐞 𝐨𝐟 𝐖𝐨𝐫𝐤: ✔️ 𝐃𝐚𝐭𝐚 𝐄𝐱𝐩𝐥𝐨𝐫𝐚𝐭𝐢𝐨𝐧 on socio-economic & environmental datasets (2000–2023) ✔️ 𝐏𝐫𝐞𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 – handling missing values, scaling, feature engineering ✔️ 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧𝐬 – line plots, scatter plots, heatmaps, boxplots & event analysis ✔️ 𝐅𝐞𝐚𝐭𝐮𝐫𝐞 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 including:   🔹 GDP Growth per Capita   🔹 Social Spending per Capita   🔹 Interaction terms (GDP × Inflation, Disasters × Poverty, Debt/GDP ratio) ✔️ 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 with 𝐋𝐚𝐬𝐬𝐨 𝐑𝐞𝐠𝐫𝐞𝐬𝐬𝐢𝐨𝐧   📌 𝐑² 𝐒𝐜𝐨𝐫𝐞: 𝟎.𝟗𝟐𝟑𝟐   📌 𝐌𝐒𝐄: 𝟎.𝟎𝟏𝟎𝟔 ✔️ 𝐂𝐫𝐨𝐬𝐬-𝐕𝐚𝐥𝐢𝐝𝐚𝐭𝐢𝐨𝐧 with Repeated K-Fold (noting dataset-size instability) ✔️ 𝐊𝐞𝐲 𝐅𝐢𝐧𝐝𝐢𝐧𝐠: GDP Growth & Agriculture Growth strongly influence unemployment ⚡ 𝐊𝐞𝐲 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 & 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠𝐬: 🔹 Unemployment ↓ when GDP & Agriculture Growth ↑ 🔹 Climate disasters ↗ unemployment (mild correlation) 🔹 Feature engineering boosted model performance 🔹 Dataset size impacts stability & generalization 📌 This task enhanced my expertise in 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐝𝐚𝐭𝐚 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬, 𝐯𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧, 𝐚𝐧𝐝 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠, while giving me practical exposure to real-world socio-economic data. Looking forward to more challenges & learning opportunities at 𝐃𝐚𝐭𝐚 𝐙𝐞𝐧𝐢𝐱 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧 🚀 #️⃣ #𝐃𝐚𝐭𝐚𝐒𝐜𝐢𝐞𝐧𝐜𝐞 #𝐌𝐚𝐜𝐡𝐢𝐧𝐞𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 #𝐈𝐧𝐭𝐞𝐫𝐧𝐬𝐡𝐢𝐩 #𝐏𝐲𝐭𝐡𝐨𝐧 #𝐃𝐚𝐭𝐚𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 #𝐔𝐧𝐞𝐦𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 #𝐋𝐚𝐬𝐬𝐨𝐑𝐞𝐠𝐫𝐞𝐬𝐬𝐢𝐨𝐧 #𝐃𝐚𝐭𝐚𝐙𝐞𝐧𝐢𝐱𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧

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Saturday 06 September 2025 04:33:36 GMT