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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
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
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 ~ 現在
・
Logistic and Supply Chain Manager / Logistic and Supply Chain Project Manager
一個月內
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
LinkedIn Learning
・
Business Improvement - Project Management
Regional Key Account Manager SaaS & - West India @Work Store Limited2023 ~ 現在
・
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...
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
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]
正在積極求職中
全職 / 暫不考慮遠端工作
15 年以上
Gujarat University
・
Computer Applications
Devolopment Assistant Manager @Jardine Restaurant Group2023 ~ 現在
・
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.
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
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
待業中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
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
就職中
・
目前會考慮了解新的機會
全職 / 暫不考慮遠端工作
4 到 6 年
Petrocon Institute of Piping Engineering, Mangalore, India
・
Piping Engg. Auto CADD,
Chief Operating Officer @Shanfari Aluminum Co LLC2023 ~ 現在
・
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
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
6 到 10 年
Udaya School of Engineerings
・
Civil EngineeringApple Magic KB NPI Electronic Supplier Quality Engineer Lead @HON HAI Technology Group2022 ~ 現在
・
Section Manager
一個月內
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
4 到 6 年
Nation Sun Yat-sen University (NSYSU)
・
E-Commercial
Purchasing Staff @PT. Zefa Valindo Jaya2023 ~ 現在
・
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
就職中
全職 / 對遠端工作有興趣
4 到 6 年
Ahli K3 Umum
・
AK3 Umum最輕量、快速的招募方案，數百家企業的選擇
搜尋履歷，主動聯繫求職者，提升招募效率。
- 瀏覽所有搜尋結果
- 每日可無限次數開啟陌生對話
- 搜尋僅開放付費企業檢視的履歷
- 檢視使用者信箱 & 電話
搜尋技巧
1
嘗試搜尋最精準的關鍵字組合
資深 後端 php laravel
2
將須完全符合的字詞放在雙引號中
"社群行銷"
3
在不想搜尋到的字詞前面加上減號，如果想濾掉中文字，需搭配雙引號使用 (-"人資")
UI designer -UX
職場能力評價定義
專業技能
該領域中具備哪些專業能力（例如熟悉 SEO 操作，且會使用相關工具）。
問題解決能力
能洞察、分析問題，並擬定方案有效解決問題。
變通能力
遇到突發事件能冷靜應對，並隨時調整專案、客戶、技術的相對優先序。
溝通能力
有效傳達個人想法，且願意傾聽他人意見並給予反饋。
時間管理能力
了解工作項目的優先順序，有效運用時間，準時完成工作內容。
團隊合作能力
具有向心力與團隊責任感，願意傾聽他人意見並主動溝通協調。
領導力
專注於團隊發展，有效引領團隊採取行動，達成共同目標。
超過一年
Software Engineer Intern
Zscaler Softech India Private Limited
・
2021 ~ 現在
專業背景
目前狀態
就學中
求職階段
專業
後端開發人員
產業
軟體
工作年資
小於 1 年
管理經歷
技能
語言能力
English
・
專業
Hindi
・
母語或雙語
求職偏好
希望獲得的職位
Software Development Engineer
預期工作模式
兼職
期望的工作地點
Bangalore, Karnataka, India
遠端工作意願
對遠端工作有興趣
接案服務
否
學歷
學校
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.