malivinayak/hr_analayzer

HR_Analayzer

😀ℍ𝕖𝕝𝕝𝕠 𝔼𝕧𝕖𝕣𝕪𝕠𝕟𝕖😀,

😊I am delighted to share that, I deployed🎉 𝑚𝑦 𝑓𝑖𝑟𝑠𝑡 project as a website. I've always thought that deployment is a very difficult process and I can't make it. But now after my first deployment, everything seems easy.

🚀𝗣𝗿𝗼𝗷𝗲𝗰𝘁 : 𝗛𝗥 𝗔𝗻𝗮𝗹𝘆𝘇𝗲𝗿 HR Analyzer is data analytics mini project created using logistic regression.

💯𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: ✴ 🎀 𝐈𝐟 𝐲𝐨𝐮 𝐰𝐚𝐧𝐭 𝐭𝐨 𝐝𝐨 𝐬𝐨𝐦𝐞𝐭𝐡𝐢𝐧𝐠 𝐭𝐡𝐞𝐧 𝐝𝐨𝐧'𝐭 𝐭𝐡𝐢𝐧𝐤 𝐚𝐧𝐝 𝐜𝐫𝐞𝐚𝐭𝐞 𝐮𝐧𝐧𝐞𝐜𝐞𝐬𝐬𝐚𝐫𝐲 𝐜𝐡𝐚𝐨𝐬, 𝐣𝐮𝐬𝐭 𝐠𝐨 𝐟𝐨𝐫 𝐢𝐭. 🎀 ✴

🤔𝐏𝐫𝐨𝐛𝐥𝐞𝐦 𝐒𝐭𝐚𝐭𝐞𝐦𝐞𝐧𝐭: A client is a large MNC and they have 9 broad verticals across the organization. One of the problem client is facing is around identifying the right people for promotion and prepare them in time. Currently the process, they are following is lengthy and hectic, this leads to delay in transition to their new roles. Hence, company needs our help in identifying the eligible candidates at a particular checkpoint so that they can expedite the entire promotion cycle. They have provided multiple attributes around Employee's past and current performance along with demographics. Now, The 𝘁𝗮𝘀𝗸 is to predict whether a potential promote at checkpoint in the test set will be promoted or not after the evaluation process.

💡𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻: https://lnkd.in/dJEDMAsH

📃𝐃𝐚𝐭𝐚𝐬𝐞𝐭 𝐃𝐞𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐨𝐧📃 𝒏𝒂𝒎𝒆 - Name of employee
𝒅𝒆𝒑𝒂𝒓𝒕𝒎𝒆𝒏𝒕 - Department of employee
𝒓𝒆𝒈𝒊𝒐𝒏 - Region of employment
𝒆𝒅𝒖𝒄𝒂𝒕𝒊𝒐𝒏 - Education Level
𝒈𝒆𝒏𝒅𝒆𝒓 - Gender of Employee
𝒓𝒆𝒄𝒓𝒖𝒊𝒕𝒎𝒆𝒏𝒕 𝒄𝒉𝒂𝒏𝒏𝒆𝒍- Channel of recruitment
𝒏𝒐 𝒐𝒇 𝒕𝒓𝒂𝒊𝒏𝒊𝒏𝒈𝒔 - no of other trainings completed in previous year on soft skills, technical skills etc.
𝒂𝒈𝒆 - Age of Employee
𝒑𝒓𝒆𝒗𝒊𝒐𝒖𝒔 𝒚𝒆𝒂𝒓 𝒓𝒂𝒕𝒊𝒏𝒈 - Employee Rating for the previous year
𝒍𝒆𝒏𝒈𝒕𝒉 𝒐𝒇 𝒔𝒆𝒓𝒗𝒊𝒄𝒆 - Length of service in years
𝑲𝑷𝑰𝒔 𝒎𝒆𝒕 >80% - if Percent of KPIs >80% then 1 else 0
𝒂𝒘𝒂𝒓𝒅𝒔 𝒘𝒐𝒏? - if awards won during previous year then 1 else 0
𝒂𝒗𝒈 𝒕𝒓𝒂𝒊𝒏𝒊𝒏𝒈 𝒔𝒄𝒐𝒓𝒆 - Average score in current training evaluations

👨‍💻𝑻𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒊𝒆𝒔/𝑳𝒂𝒏𝒈𝒖𝒂𝒈𝒆𝒔: Python, Flask, Logistic Regression, Data Analytics, HTML, CSS, Git, Heroku, etcc

📚𝑳𝒊𝒃𝒓𝒂𝒓𝒊𝒆𝒔 𝒇𝒐𝒓 𝒂𝒏𝒂𝒍𝒚𝒔𝒊𝒔 𝒂𝒏𝒅 𝑴𝑳: numpy, pandas, scipy.stats, seaborn, matplotlib, sklearn, etc

🖥️𝑫𝒆𝒑𝒍𝒐𝒚𝒆𝒅 𝒐𝒏 : Heroku