{"m1":["resume_head","resume_name"],"m2":["resume_base_info","resume_skill","resume_hobby","resume_summary"],"m3":["resume_job","resume_edu","resume_work","resume_honor","resume_internship","resume_project","resume_portfolio"],"m4":[]}
.resume_main[data_color] .skill_item .skill_slider span::before{background-color:${color};}
.resume_main[data_color] .skill_slider s i{background-color:${relative_skill_color};}
.resume_main[data_color] .skill_style_01.skill_item .skill_slider s {border-color:${relative_skill_color};}
.resume_main[data_color] .skill_style_01.skill_item .skill_slider s i{background-color:${relative_skill_color};}
.resume_main[data_color] .skill_style_04.skill_item .skill_slider[data_level="average"] i,.resume_main[data_color] .skill_style_07.skill_item .skill_slider[data_level="average"] i{box-shadow:24px 0 0 ${relative_skill_color}, 48px 0 0 #ccc, 72px 0 0 #ccc, 96px 0 0 #ccc, 120px 0 0 #ccc;}
.resume_main[data_color] .skill_style_04.skill_item .skill_slider[data_level="good"] i,.resume_main[data_color] .skill_style_07.skill_item .skill_slider[data_level="good"] i{box-shadow:24px 0 0 ${relative_skill_color}, 48px 0 0 ${relative_skill_color}, 72px 0 0 #ccc, 96px 0 0 #ccc, 120px 0 0 #ccc;}
.resume_main[data_color] .skill_style_04.skill_item .skill_slider[data_level="advanced"] i,.resume_main[data_color] .skill_style_07.skill_item .skill_slider[data_level="advanced"] i{box-shadow:24px 0 0 ${relative_skill_color}, 48px 0 0 ${relative_skill_color}, 72px 0 0 ${relative_skill_color}, 96px 0 0 #ccc, 120px 0 0 #ccc;}
.resume_main[data_color] .skill_style_04.skill_item .skill_slider[data_level="expert"] i,.resume_main[data_color] .skill_style_07.skill_item .skill_slider[data_level="expert"] i{box-shadow:24px 0 0 ${relative_skill_color}, 48px 0 0 ${relative_skill_color}, 72px 0 0 ${relative_skill_color}, 96px 0 0 ${relative_skill_color}, 120px 0 0 #ccc;}
.resume_main[data_color] .skill_style_08.skill_item .skill_slider[data_level="average"] i{box-shadow:9px 0 0 ${relative_skill_color}, 18px 0 0 ${relative_skill_color}, 27px 0 0 ${relative_skill_color}, 36px 0 0 ${relative_skill_color}, 45px 0 0 ${relative_skill_color},54px 0 0 #ccc,63px 0 0 #ccc,72px 0 0 #ccc,81px 0 0 #ccc;}
.resume_main[data_color] .skill_style_08.skill_item .skill_slider[data_level="good"] i{box-shadow:9px 0 0 ${relative_skill_color}, 18px 0 0 ${relative_skill_color}, 27px 0 0 ${relative_skill_color}, 36px 0 0 ${relative_skill_color}, 45px 0 0 ${relative_skill_color},54px 0 0 ${relative_skill_color},63px 0 0 #ccc,72px 0 0 #ccc,81px 0 0 #ccc;}
.resume_main[data_color] .skill_style_08.skill_item .skill_slider[data_level="advanced"] i{box-shadow:9px 0 0 ${relative_skill_color}, 18px 0 0 ${relative_skill_color}, 27px 0 0 ${relative_skill_color}, 36px 0 0 ${relative_skill_color}, 45px 0 0 ${relative_skill_color},54px 0 0 ${relative_skill_color},63px 0 0 ${relative_skill_color},72px 0 0 #ccc,81px 0 0 #ccc;}
.resume_main[data_color] .skill_style_08.skill_item .skill_slider[data_level="expert"] i{box-shadow:9px 0 0 ${relative_skill_color}, 18px 0 0 ${relative_skill_color}, 27px 0 0 ${relative_skill_color}, 36px 0 0 ${relative_skill_color}, 45px 0 0 ${relative_skill_color},54px 0 0 ${relative_skill_color},63px 0 0 ${relative_skill_color},72px 0 0 ${relative_skill_color},81px 0 0 #ccc;}
.resume_main[data_color] .hobby_item .hobby_item_con .hobby_item_list a.alifont{border-color:${relative_hobby_color};color:${relative_hobby_color}; }
/* ������ */
.resume_main[data_color] .resume_cover .cover_html svg [data-svg="fill"] {fill:${color};}
.resume_main[data_color] .resume_cover .cover_html svg [data-svg="stroke"] {stroke:${color};}
.resume_main[data_color] .resume_letter .letter_html svg [data-svg="fill"] {fill:${color};}
.resume_main[data_color] .resume_letter .letter_html svg [data-svg="stroke"] {stroke:${color};}
.resume_main[data_color] .resume_letter .letter_html svg [data-fill="fill"] {fill:${color};}
.resume_main[data_color] .resume_cover[data-type="07"] .resume_cover_avatar{border-color: ${color};}
.resume_main[data_color] .resume_cover[data-type="07"] .resume_cover_content{background:${color}}
.resume_main[data_color] .resume_cover[data-type="07"] .cover_item_list a.alifont{color: ${color};}
.resume_main[data_color] .resume_cover[data-type="08"] .resume_cover_content::after{background:${color}}
.resume_main[data_color] .resume_cover[data-type="09"] .resume_cover_content{background:${color}}
.resume_main[data_color] .resume_cover[data-type="09"] .cover_item_list a.alifont{color: ${color};}
.resume_main[data_color] .resume_cover[data-type="10"]{background-color:${color}}
.resume_main[data_color] .resume_cover[data-type="11"] .resume_cover_content{background-color:${color}}
.resume_main[data_color] .resume_cover[data-type="14"]{background-color:${color}}
.resume_main[data_color] .resume_cover[data-type="15"]{background-color:${color}}
.resume_main[data_color] .resume_cover[data-type="19"] .resume_cover_word::before{background-color:${color}}
.resume_main[data_color] .resume_cover[data-type="20"]{background-color:${color}}
.resume_main[data_color] .resume_letter[data-type="06"]{background-color:${color}}
.resume_main[data_color] .resume_letter[data-type="12"]{background-color:${color}}
.resume_main[data_color] .resume_m2 .resume_item dt a.alifont{color:${color};}
.resume_main[data_color] .resume_item dt a.alifont{background:${color};}
.resume_main[data_color] .resume_item dt span.resume_item_title_span{color:${color}; border-color:${color};}
.resume_main[data_color] .resume_item dt a.alifont{background:${color};}
["marriageStatus","age","sex","nation","politicalStatus","education","city","jobYear","mobile","email"]
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基本信息
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姓名
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锤子简历
一切不以数据为依据、不以落地为目的的运营都是自嗨!
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教育背景
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2016.09 - 2020.06
广州锤子简历大学
金融学
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工作经历
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2018.06 - 2020.04
锤子简历信贷有限公司
数据分析师
信贷项目针对小微企业法人提供信用贷款,利用征信、行内数据和第三方机构数据,搭建智能审批&风控系统,高效审核授信并监控信贷风险。- 设计部署贷前评级、反欺诈和贷后预警模型,向研发部门提供相关需求文档;
- 针对信贷的不同时期特点,实施监控,对信贷产品进行解读、诊断,提出优化建议,并测算优化方案;
- 设计部署BI平台和月报系统,自动化生成阶段运营报告;
- 搭建用户画像系统,精细化客户分群,为后续的营销提供支持。
2017.05 - 2018.05
锤子简历咨询有限公司
数据分析师
- 对行内数据、征信数据和第三方数据进行清洗,设计和检验映射清洗规则,为量化信贷系统提供数据支持;
- 联调测试信贷模型,确保系统运行正常。
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个人技能
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- 熟练使用SQL语言
- 熟练使用Python进行数据清洗、建模,掌握pandas、numpy、sklearn等进行机器学习建模及模型优化
- 熟练使用R语言,以及正则表达式相关技能,完成数据清洗、特征工程和机器学习建模,以及模型调参优化
- 掌握R和Python数据可视化技能
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自我评价
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学习能力强:迅速完成工作专业知识学习并独立制定整套流程体系应用于生产,信息、数据支撑零差错。思维缜密,善于创新突破:从产品、客户、运营、服务等多维度率先提出数项创新管理举措,辅以逻辑清晰的数据分析支撑,实现运营成效量质齐升。勤奋踏实,严谨耐心,性格乐观,具备一定抗压能力;善于以积极向上的心态与人沟通交流,有很强的感染力、说服力。
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作品展示
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+(支持jpg/png格式,单张图片不超过2M,最多支持添加8张图片)