CakeResume 找人才
进阶搜寻
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
曾任
Lead of Country Product Manager @Asus 華碩電腦股份有限公司2022 ~ 2023
・
Business Development / Product Manager / Product Marketing/ Strategy Manager
一個月內
待业中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
國立陽明交通大學(National Yang Ming Chiao Tung University)
・
Bachelor of management , Management of Transportation and LogisticsSupply Chain Regional Leader @Capital Lead LLP Asia Pacific - VNAT - DHL Supply Chain2020 ~ 现在
・
Logistic and Supply Chain Manager / Logistic and Supply Chain Project Manager
一個月內
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
LinkedIn Learning
・
Business Improvement - Project Management
Regional Key Account Manager SaaS & - West India @Work Store Limited2023 ~ 现在
・
Area sales manager & Regional sales manager Key Account Manager
兩個月內
a 1.5x revenue growth in 6 months through successful cross-selling of new CapEx products within existing accounts * Awarded Star Performer in the Annual Business reviewFebruaryPresent Regional Key Account Manager SaaS - West India Work Store Limited * Orchestrated onboarding, retention and renewal, upselling, and cross-selling strategies to drive Monthly and Quarterly revenue growth in strategic Key Accounts within the West Region * Supported the regional head in his key functionalities and managing 25 Strategic Key Accounts. * Responsible for Business growth in 3 categories, ie. Office Supplies, Corporate gifting and Vendor Management program. * Cultivated...
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
ITM Group of Institutions
・
Marketing
Business Development or Key Account Management or Client Acquisition or bundled in.
超過一年
Vishwas Business Veteran with 10+ yrs in New Business Development - with diverse experience/s across "Banking", "Travel Tech", "Logistics" & "ITES". On other side of the coin - I am a Dreamer, Storyteller, Insatiable Learner, Quora Addict, Believer in Karma, ex-guzzler of kaapi, hater of nonversation... Business Development or Key Account Management or Client Acquisition or bundled in. Ahmedabad, IN [email protected]
正在积极求职中
全职 / 暂不考虑远端工作
15 年以上
Gujarat University
・
Computer Applications
Devolopment Assistant Manager @Jardine Restaurant Group2023 ~ 现在
・
系統分析師
一個月內
system processes, empathized with users by considering various scenarios from their perspective. - Anticipated challenges users may encounter and proposed suitable system process designs, eliminating cumbersome tasks. Experiences Assistant Manager • Jardine Restaurant Group AprilPresent Led team for effective collaboration. Specialized in requirements gathering, system analysis, process design, and vendor management. Oversaw vendor requirements and ensured diligent development supervision. Designed system architectures for operational efficiency. Senior Software Engineer • Jardine Restaurant Group MarchApril 2023 Maintained and optimized existing project and customer experience systems. Facilitated the reintegration of outsourced systems, resolving critical issues with limited resources.
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
10 到 15 年
Providence University
・
資訊管理學系
曾任
Program Manager (Contract) @Roundabout Ltd.2023 ~ 2023
・
PM
一個月內
the events and provide Christmas meals. Holding Meetings: Host weekly meetings to track project progress. And make adjustments according to the project implementation status to reduce project risks. Account Execut ive • Just-Make IMC. MarchMarch 2022 | Taipei, TW Specialize in comprehensive project planning, media and PR management, and CSR initiatives. As an account executive, I am responsible for project management, strategic planning, customer and media relationship management, and vendor management. Notable achievements included: Project Management: Focused on B2C projects, serving as project leader for multiple international brands. Driving over 10 press conferences, product
待业中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
4 到 6 年
The University of Sheffield
・
Marketing Management Pratice
Sr. Sales Engineer @MULTITECH HYDRO SYSTEMS, Channel Partner For Grundfos- India2016 ~ 2018
・
兩個月內
execute sales strategies to meet or exceed sales targets and revenue goals. • Identify and evaluate new business opportunities, including market analysis, competitor research, and customer needs assessment. • Build and maintain strong relationships with key clients, distributors, and industry influencers to drive sales and promote brand loyalty. • Product vendor management in major clients and consultants. • Arranging seminars and workshops to educate the clients about the latest technology and innovations. • Lead and motivate the sales team, providing guidance, training, and performance evaluations to ensure high performance and continuous improvement. • Prepare and present sales reports, forecasts, and
就职中
・
目前会考虑了解新的机会
全职 / 暂不考虑远端工作
4 到 6 年
Petrocon Institute of Piping Engineering, Mangalore, India
・
Piping Engg. Auto CADD,
Chief Operating Officer @Shanfari Aluminum Co LLC2023 ~ 现在
・
三個月內
Saran Victor Chief Operating Officer Muscat, Oman A seasoned Chief Operating Officer boasting 8+ years of experience specialized in commercial façade operations. An exemplary record of consistently exceeding performance targets in high-value projects. Demonstrated expertise in boosting efficiency while keeping costs within budget. Exceptionally skilled in Sales, Estimation, Purchasing & Vendor Management, and Project Management. Enhanced by strong relationship-building skills and a Civil Engineering degree. Aiming to use my dedication, experience, and hands-on skills to make a substantial impact on your team. Work Experience Chief Operating Officer • Shanfari Aluminum Co LLC
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
6 到 10 年
Udaya School of Engineerings
・
Civil EngineeringApple Magic KB NPI Electronic Supplier Quality Engineer Lead @HON HAI Technology Group2022 ~ 现在
・
Section Manager
一個月內
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
4 到 6 年
Nation Sun Yat-sen University (NSYSU)
・
E-Commercial
Purchasing Staff @PT. Zefa Valindo Jaya2023 ~ 现在
・
Procurement Specialist
兩個月內
bagian logistik untuk pencatatan barang masuk. 9. Mediasi dengan bagian keuangan untuk pembayaran barang / jasa. Procurement Staff • PT. Multikreasi Prima Energi MaretDesemberMembuat dan menganalisa RAB meliputi BOQ/BOM/MTO untuk mengetahui kebutuhan barang/jasa dalam Project. 2. Mencari dan mengevaluasi vendor/supplier. 3. Menyiapkan dan melakukan proses pengadaan/pembelian barang dan jasa dari PR menjadi PO/Kontrak/SPK. 4. Menganalisa kebutuhan/pengeluaran Project 5. Membangun, mengelola & menjaga hubungan kerja sama dengan vendor (vendor management). 6. Mengelola dan mendata
就职中
全职 / 对远端工作有兴趣
4 到 6 年
Ahli K3 Umum
・
AK3 Umum最轻量、快速的招募方案，数百家企业的选择
搜寻简历，主动联系求职者，提升招募效率。
- 浏览所有搜寻结果
- 每日可无限次数开启陌生对话
- 搜尋僅開放付費企業檢視的简历
- 检视使用者信箱 & 电话
搜寻技巧
1
Search a precise keyword combination
senior backend php
2
Use quotes to search for an exact phrase
"business development"
3
Use the minus sign to eliminate results containing certain words
UI designer -UX
职场能力评价定义
专业技能
该领域中具备哪些专业能力（例如熟悉 SEO 操作，且会使用相关工具）。
问题解决能力
能洞察、分析问题，并拟定方案有效解决问题。
变通能力
遇到突发事件能冷静应对，并随时调整专案、客户、技术的相对优先序。
沟通能力
有效传达个人想法，且愿意倾听他人意见并给予反馈。
时间管理能力
了解工作项目的优先顺序，有效运用时间，准时完成工作内容。
团队合作能力
具有向心力与团队责任感，愿意倾听他人意见并主动沟通协调。
领导力
专注于团队发展，有效引领团队采取行动，达成共同目标。
超過一年
Software Engineer Intern
Zscaler Softech India Private Limited
・
2021 ~ 现在
专业背景
目前状态
就学中
求职阶段
专业
后端开发人员
产业
软件
工作年资
小於 1 年
管理经历
技能
语言能力
English
・
专业
Hindi
・
母语或双语
求职偏好
希望获得的职位
Software Development Engineer
预期工作模式
兼职
期望的工作地点
Bangalore, Karnataka, India
远端工作意愿
对远端工作有兴趣
接案服务
否
学历
学校
PES University
主修科系
B.Tech Computer Science and Engineering
Work Experience
Software Engineer Intern, May 2020 ~ Jul 2020
Zscaler Softech India Private Limited|
Achievements/Tasks
- Worked in Security team that applies security policies on data like Data Loss Prevention, URL classification using ML techniques and Cloud Sandboxing.
- My work revolved around understanding, improvising and contributing to several components of CASB(Cloud Access Security Broker) like refactoring some code components, automating information scrapping from vendor websites and supporting daily difference functionality, enhancing some scripts and writing preprocessing script to handle additional vendor data.
- Also added C code for small features like structure flattening for efficient processing of data and fetching and displaying data from predefined X-Macro in particular format.
- Tools and technologies used - Python scripting, C programming, Web Scraping, Object-Oriented Design, FreeBSD OS, Selenium WebDriver
Research Intern, Jun 2019 ~ Jul 2019
CDSAML, PES University|
Achievements/Tasks
- Scene Description using Densecap-Hybrid-Hierarchical RNN| - Generated image description in the form of coherent paragraphs using Densecap CNN for Dense Captioning and Hierarchical RNN on a subset of Visual Genome dataset consisting of around 20k images.
- Was able to perform as good as state-of-art in terms of Meteor score which is inclined towards human-like sentences.
- Tools and Technologies used - Python, TensorFlow, Deep Learning, Jupyter Notebook, Ubuntu
Education
B.Tech Computer Science and Engineering, 2017~2021
PES University, Bangalore - 9.42 / 10 CGPA
Courses: Cloud Computing, Data Analytics, Machine Learning, Web Technology
Intermediate, 2015 ~ 2017
Mata Kasturi Devi Public School, New Delhi - 90.8%
Matriculation, 2011 ~ 2015
St. Francis Xavier School, Hisar, Haryana - 10/10 CGPA
Skills
Industry Skills
Data Analytics
Data Structures and Algorithms
Problem Solving
Object Oriented Design
Database Management System
Programming & Web
Programming Languages:
C, C++, Python, SQL
Web Technology:
HTML, CSS, Javascript, PHP, AJAX, RESTful APIs
Others
Tools & Technologies:
Linux, Git
Spoken Languages:
English, Hindi
Projects
Code Semantic Detector|
- A Machine Learning based system to detect semantics/high-level function of code in the form of semantic label.
- Made to run on self-generated dataset of 500 programs across 25 labels from 8 DS/Algorithm categories.
- Approached in static and dynamic way giving accuracies of 98% and 80% respectively.
- Implemented using Python, TensorFlow, JQuery, Flask, Neural Networks, AST path mining, Universal Approximation Theorem, Naive Bayes Classifier.
RideShare on AmazonAWS|
- A scalable, distributed, fault-tolerant, highly-available, containerized and micro-services based ridesharing service deployed on AWS EC2.
- Implemented using Flask, Docker, Rabbit-MQ, Zookeeper, MySQL and RESTful APIs.
Farm-To-Fork|
- An ecommerce website for direct selling of farm goods by farmers to consumers involving Machine Learning techniques for suggestion and recommendation.
- Implemented using Jquery, Flask, MySQL, RESTful APIs and performed Unit, System and Performance tests.
Malware Detection on Microsoft’s Malware dataset|
- Predicting whether a Window’s machine will soon be hit with a malware using a Light Gradient Boosting Machine model.
- Obtained an AUC of 0.6712 and was scored 0.682 on Kaggle Submission.
- Implemented using Python, TensorFlow, Google Colaboratory.
Achievements
Currently hold Global Rank 36 on InterviewBit
Currently hold Institute Rank 3 out of 2130 on GeeksForGeeks
Stood at 4126/11,750 in Google Kick Start Round D 2020
Awarded Prof. CNR Rao Merit Scholarship in first 6 semesters for being in Top 20% of current CSE Batch at PES University
Extra Curricular
Attended Google’s Developer Student Club PESU (DSC PESU) Cloud Study Jam | QWIKLABS Profile|
Held at PES University, Bangalore on 20 July 2019
Participated in Microsoft’s MSHACK Hackathon|
Held at Microsoft IDC, Bangalore on 19-20 January 2019
Good Samaritans - Android Mobile app that lets users in distress seek help from other willing users in the vicinity.
Work Experience
Software Engineer Intern, May 2020 ~ Jul 2020
Zscaler Softech India Private Limited|
Achievements/Tasks
- Worked in Security team that applies security policies on data like Data Loss Prevention, URL classification using ML techniques and Cloud Sandboxing.
- My work revolved around understanding, improvising and contributing to several components of CASB(Cloud Access Security Broker) like refactoring some code components, automating information scrapping from vendor websites and supporting daily difference functionality, enhancing some scripts and writing preprocessing script to handle additional vendor data.
- Also added C code for small features like structure flattening for efficient processing of data and fetching and displaying data from predefined X-Macro in particular format.
- Tools and technologies used - Python scripting, C programming, Web Scraping, Object-Oriented Design, FreeBSD OS, Selenium WebDriver
Research Intern, Jun 2019 ~ Jul 2019
CDSAML, PES University|
Achievements/Tasks
- Scene Description using Densecap-Hybrid-Hierarchical RNN| - Generated image description in the form of coherent paragraphs using Densecap CNN for Dense Captioning and Hierarchical RNN on a subset of Visual Genome dataset consisting of around 20k images.
- Was able to perform as good as state-of-art in terms of Meteor score which is inclined towards human-like sentences.
- Tools and Technologies used - Python, TensorFlow, Deep Learning, Jupyter Notebook, Ubuntu
Education
B.Tech Computer Science and Engineering, 2017~2021
PES University, Bangalore - 9.42 / 10 CGPA
Courses: Cloud Computing, Data Analytics, Machine Learning, Web Technology
Intermediate, 2015 ~ 2017
Mata Kasturi Devi Public School, New Delhi - 90.8%
Matriculation, 2011 ~ 2015
St. Francis Xavier School, Hisar, Haryana - 10/10 CGPA
Skills
Industry Skills
Data Analytics
Data Structures and Algorithms
Problem Solving
Object Oriented Design
Database Management System
Programming & Web
Programming Languages:
C, C++, Python, SQL
Web Technology:
HTML, CSS, Javascript, PHP, AJAX, RESTful APIs
Others
Tools & Technologies:
Linux, Git
Spoken Languages:
English, Hindi
Projects
Code Semantic Detector|
- A Machine Learning based system to detect semantics/high-level function of code in the form of semantic label.
- Made to run on self-generated dataset of 500 programs across 25 labels from 8 DS/Algorithm categories.
- Approached in static and dynamic way giving accuracies of 98% and 80% respectively.
- Implemented using Python, TensorFlow, JQuery, Flask, Neural Networks, AST path mining, Universal Approximation Theorem, Naive Bayes Classifier.
RideShare on AmazonAWS|
- A scalable, distributed, fault-tolerant, highly-available, containerized and micro-services based ridesharing service deployed on AWS EC2.
- Implemented using Flask, Docker, Rabbit-MQ, Zookeeper, MySQL and RESTful APIs.
Farm-To-Fork|
- An ecommerce website for direct selling of farm goods by farmers to consumers involving Machine Learning techniques for suggestion and recommendation.
- Implemented using Jquery, Flask, MySQL, RESTful APIs and performed Unit, System and Performance tests.
Malware Detection on Microsoft’s Malware dataset|
- Predicting whether a Window’s machine will soon be hit with a malware using a Light Gradient Boosting Machine model.
- Obtained an AUC of 0.6712 and was scored 0.682 on Kaggle Submission.
- Implemented using Python, TensorFlow, Google Colaboratory.
Achievements
Currently hold Global Rank 36 on InterviewBit
Currently hold Institute Rank 3 out of 2130 on GeeksForGeeks
Stood at 4126/11,750 in Google Kick Start Round D 2020
Awarded Prof. CNR Rao Merit Scholarship in first 6 semesters for being in Top 20% of current CSE Batch at PES University
Extra Curricular
Attended Google’s Developer Student Club PESU (DSC PESU) Cloud Study Jam | QWIKLABS Profile|
Held at PES University, Bangalore on 20 July 2019
Participated in Microsoft’s MSHACK Hackathon|
Held at Microsoft IDC, Bangalore on 19-20 January 2019
Good Samaritans - Android Mobile app that lets users in distress seek help from other willing users in the vicinity.