{"m1":[],"m2":[],"m3":["resume_head","resume_name","resume_base_info","resume_job","resume_edu","resume_skill","resume_work","resume_internship","resume_honor","resume_project","resume_portfolio","resume_school_info","resume_hobby","resume_summary"],"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:${color}}
.resume_main[data_color] .name_item .name-con .name{color:${color};}
.resume_main[data_color] .resume_m1,.resume_main[data_color] .resume_item dl dt a.alifont{background-color:${color};}
.resume_main[data_color] .resume_item dl dt span.resume_item_title_span{color:${color};border-bottom-color:${color};}
.resume_main[data_color] .resume_content:after{background-color:${color};}
["sex","age","nation","education","marriageStatus","politicalStatus","city","jobYear","mobile","email"]
-
?
基本信息
-
-
?
姓名
-
錘子簡歷
夢想每個人都有,但不是每個人都有勇氣去堅信,我有!
-
教育背景
-
2014.09 - 2018.06
錘子簡歷大學
計算機與信息技術
GPA:3.72/4(專業(yè)前10%)
GRE:324
-
工作經(jīng)驗
-
2019年12月 - 至今
錘子簡歷信息有限公司
機器學習算法研究員
- 負責學習sas數(shù)據(jù)分析步驟,使用大數(shù)據(jù)平臺進行海量數(shù)據(jù)挖掘工作。
- 加強模型理解能力,嘗試使用深度學習模型提升業(yè)務指標。
- 定期對進行特征重要性分析代碼編寫訓練模型進行數(shù)據(jù)離散化操作。
采用目標檢測、對象識別、深度學習等分析,手段提取視頻圖像中的目標對象及運動軌跡。
- 進一步提取目標的高層結構化屬性特征包括目標類別,屬性等細粒度特征。
2018年3月 - 2019年12月
錘子簡歷科技有限公司
機器學習算法研究員
- 負責公司項目大數(shù)據(jù)應用部機器學習建模組,完成平臺搭建,impala數(shù)據(jù)庫遷移的工作。
- 負責SQL、SAS、Python業(yè)務邏輯數(shù)據(jù)進行編程,特征工程代碼編寫,研讀論文,復現(xiàn)代碼,選擇合適的機器學習模型并改進。
- 定期對用戶評分卡、信用卡睡眠戶預測、客戶信用評級模型開發(fā)SMOTE算法構建均衡數(shù)據(jù)提升模型學習能力,決策分箱操作
。
- 使用GBDT構造新特征,比較GBDT+LRGBDT+FM模型融合效果,模型可視化、特征重要性分析、撰寫建模論文。
-
項目經(jīng)驗
-
2021年3月 - 2021年11月
項目工程
機器學習算法研究員
- 主要對于視頻圖像中的人物進行檢測,如果可進行人臉檢測就行人臉識別從而分析出人物的具體身份工作。
- 負責測試軟件檢測到人臉就根據(jù)可提檢測到的人對各種結構化特征屬性信息,包括衣服屬性裙子顏色、款式等進行識別。
- 定期對項目中本人作為項目的負責人主要負責團隊的溝通以及視頻結構化中的行人檢測。
- 使用reid相關算法的研發(fā)與優(yōu)化,在盡可能低的資源消耗的前提下,實現(xiàn)快速精確的行人檢測與跟蹤。
- 為進一步的屬性結構化分析提供精確的目標對象。
-
自我評價
-
本人有電工進網(wǎng)作業(yè)許可證,對待工作踏實,認真,并且極富工作和團隊精神,因此在工作和生活中結交了許多朋友,具有良好的適應性和熟練的溝通技巧。綜合素質佳,能夠吃苦耐勞,忠誠穩(wěn)重堅守誠信正直原則,感謝您在百忙之中閱覽我的簡歷,靜候佳音!
-
作品展示
-
+(支持jpg/png格式,單張圖片不超過2M,最多支持添加8張圖片)