{"m1":[],"m2":["resume_head","resume_name","resume_base_info","resume_skill","resume_hobby"],"m3":["resume_job","resume_edu","resume_internship","resume_work","resume_project","resume_honor","resume_summary","resume_portfolio","resume_school_info"],"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_m3 .resume_item dt a.alifont{background:${color};}
.resume_main[data_color] .resume_m3 .resume_item dt span.resume_item_title_span{color:${color}; border-color:${color};}
.resume_main[data_color] .resume_m2 .resume_item dl dt span.resume_item_title_span{color: ${color};}
.resume_main[data_color] .default_html svg path{fill: ${color};}
["sex","age","nation","education","marriageStatus","politicalStatus","city","jobYear","mobile","email"]
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基本信息
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錘子簡歷
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錘子簡歷
具備豐富的反欺詐-風(fēng)控算法經(jīng)驗,致力于打造安全可靠的金融系統(tǒng)。
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教育背景
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2015.09-2019.06
廣州大學(xué)
計算機科學(xué)與技術(shù)-本科
成績績點:3.8,主修課程:數(shù)據(jù)結(jié)構(gòu)、算法設(shè)計與分析等
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工作經(jīng)驗
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2019.07-至今
廣州大鯨信息科技有限公司
反欺詐-風(fēng)控算法工程師
- 負責(zé)構(gòu)建反欺詐模型,通過大數(shù)據(jù)分析和機器學(xué)習(xí)算法提高系統(tǒng)準(zhǔn)確性。
- 參與制定風(fēng)險評估策略,實時監(jiān)測交易活動,及時發(fā)現(xiàn)并應(yīng)對潛在的風(fēng)險。
- 與跨部門團隊密切合作,優(yōu)化算法模型,提高系統(tǒng)性能。
- 參與制定公司風(fēng)險管理政策,為業(yè)務(wù)決策提供可靠的數(shù)據(jù)支持。
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項目經(jīng)驗
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2020.02-2021.05
反欺詐模型升級
算法工程師
- 通過引入深度學(xué)習(xí)技術(shù),提高模型對于復(fù)雜交易模式的識別能力。
- 設(shè)計并實施基于圖神經(jīng)網(wǎng)絡(luò)的風(fēng)險評估模型,取得15%的欺詐檢測率提升。
- 優(yōu)化模型訓(xùn)練算法,降低計算成本,提高實時性。
- 與產(chǎn)品團隊協(xié)作,將升級后的模型成功應(yīng)用于線上環(huán)境。
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榮譽獎項
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- 公司年度優(yōu)秀員工獎
- 參與團隊獲得廣州信息科技大賽一等獎
- 發(fā)表論文《基于深度學(xué)習(xí)的反欺詐算法在金融領(lǐng)域的應(yīng)用》
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自我評價
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具備扎實的計算機科學(xué)背景和豐富的反欺詐-風(fēng)控算法實戰(zhàn)經(jīng)驗,對金融領(lǐng)域有深刻的理解。具備團隊協(xié)作能力,能夠迅速適應(yīng)高壓工作環(huán)境,對新技術(shù)有強烈的學(xué)習(xí)興趣。以創(chuàng)新思維和責(zé)任心為驅(qū)動,致力于在反欺詐領(lǐng)域做出更多的貢獻。
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作品展示
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+(支持jpg/png格式,單張圖片不超過2M,最多支持添加8張圖片)