CakeResume 找人才

進階搜尋
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
India
Avatar of the user.
Avatar of the user.
Sr. Java Developer @Synechron Technologies Pvt Ltd
2020 ~ 現在
Sr. Java Developer
一年內
Spring MVC
Spring Integration
Multithreading
全職 / 對遠端工作有興趣
4 到 6 年
GTU UNIVERSITY Gujarat
Computer Engineering
Avatar of Diptarup Das.
離線
Avatar of Diptarup Das.
離線
Site In Charge @Wipro Limited
2013 ~ 2013
Data Scientist
超過一年
Algorithms, Data Visualization by Matplotlib, Seaborn, ggplot2 • Creating various dashboards and reports using Tableau, Qlikview / Qliksense, Excel, SQL • Experience in Healthcare, Telecom, Financial Analytics, Demand Forecasting and IT service analytics • SQL Database Administration & Management and IT Service Operations Business and Data Modelling with Workflow creation Skills Machine Learning Classification Algorithm : Logistics Regression, K-NN, Decision Tree, Random Forest, SVM Regression Algorithms : Linear Regression, Decision Trees, Random Forest Clustering Techniques : K-Means, Hierarchical Statistical Analysis EDA, Inferential Statistics, Hypothesis Testing, Probability, Sampling Techniques. Libraries : Statistics, Numpy, Pandas Data Visualization & Dashboarding Libraries: seaborn, matplotlib, ggplot2 Tools: Tableau, Qlik, SQL, Excel
Machine Learning with stats models and scikit-learn
Machine Learning
Statistical Analysis
就職中
全職 / 對遠端工作有興趣
4 到 6 年
VIT University
Master of Technology
Avatar of Rashmi Keshavappa.
Avatar of Rashmi Keshavappa.
Consultant @Deloitte Digital
2016 ~ 2019
Senior Consultant
超過一年
SeptemberPresent, Bangalore | SeptemberAugIndianapolis, USA Client: Global Pharmaceutical Company || Project: Class 2 SAMD iOS application Involved in end to end design and development of an integrated solution and experience, having a communication mechanism with connected devices – Blood Glucose Monitor(BGM) and Basaglar Dose(BD). The app integrates with a Titration Algorithm to recommend real time insulin dose for PwD by taking into account the captured blood glucose readings. Played an onsite technical architect role for the project, being a SPOC for any technical solutions for client and a 50 member offshore team. Involved in technical design and architecture
Project Development
Great Team Player
Development and Implementation
就職中
全職 / 暫不考慮遠端工作
6 到 10 年
Sri Venkateshwara College of Engineering
Bachelors of Electronics and Communication

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
如果結果不夠多,再逐一刪除較不重要的關鍵字
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
免費方案僅能搜尋公開履歷。
升級至進階方案,即可瀏覽所有搜尋結果(包含數萬筆覽僅在 CakeResume 平台上公開的履歷)。

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
Senior Analyst
Philips Ltd.
2019 ~ 現在
Bangalore, Karnataka, India
專業背景
目前狀態
就職中
求職階段
專業
產業
家庭護理服務
工作年資
6 到 10 年工作經驗(4 到 6 年相關工作經驗)
管理經歷
技能
Machine Learning with stats models and scikit-learn
Machine Learning
Statistical Analysis
Python for Data Science and Analysis
SQL
Data Visualization
Tableau
QlikView
QlikSense
EDA
Matplotlib
Seaborn
語言能力
求職偏好
希望獲得的職位
Data Scientist
預期工作模式
全職
期望的工作地點
遠端工作意願
對遠端工作有興趣
接案服務
學歷
學校
VIT University
主修科系
Master of Technology
列印
Poila9oft366wysgj64u

Diptarup Das

 Data Scientist 
Mobile : +91 7666177447 / +91 9051997188 
In : https://www.linkedin.com/in/diptarup-das-0a42a2a2/ 

• Over 7.5+ years of experience in delivering end to end Data Science Project from Ideation to Evaluation and Model Deployment involving complete Data Science Lifecycle. 

• Expert knowledge in Exploratory Data Analysis / Statistical Analysis of raw data, Hypothesis Testing, Machine Learning Algorithms, Data Visualization by Matplotlib, Seaborn, ggplot2 

• Creating various dashboards and reports using Tableau, Qlikview / Qliksense, Excel, SQL 

• Experience in Healthcare, Telecom, Financial Analytics, Demand Forecasting and IT service analytics • SQL Database Administration & Management and IT Service Operations Business and Data Modelling with Workflow creation  

Skills


Machine Learning

Classification Algorithm: Logistics Regression, K-NN, Decision Tree, Random Forest, SVM 

Regression Algorithms: Linear Regression, Decision Trees, Random Forest

Clustering Techniques: K-Means, Hierarchical


Statistical Analysis

EDA, Inferential Statistics, Hypothesis Testing, Probability, Sampling Techniques.

Libraries: Statistics, Numpy, Pandas


Data Visualization & Dashboarding

Libraries: seaborn, matplotlib, ggplot2

Tools: Tableau, Qlik, SQL, Excel


Functional

Agile Scrum, ITIL



Work Experience

Jun 2019 ~ Present Philips Ltd., Bangalore, IN; Senior Analyst

• Built Analytical Product for cardio vascular disease detection for respiratory care system. Deployed the flow: Data Ingestion > Data Validation > Exploratory Data Analysis > Analytical Data Set Creation > Statistical Model Refresh > Model Evaluation & Prediction > Optimization 

• Building multiclass classification models with Random Forest, SVM & Decision Tree to detect quality of MRI, CT scan machines. 

• Use Linear regression to predict the sales figures across various healthcare devices. 

• Creating visualization through Matplotlib, Seaborn. 

• Making interactive dashboards with Tableau for different set of stakeholders. 

• Data Representation / Forecast in various forms from different sources. 

• Prepared & deployed the models as UI where anyone can plug and play with any of the algorithms and can deploy to see the Accuracy. 

Skills/Libraries Used: Python, Machine Learning Models - Random Forest, Decision Tree, SVM, Time Series Forecasting, Classification Models, Scikit learn, Numpy, Pandas, Matplotlib, Seaborn, Tableau. 

Sep 2016 – May 2019 Wipro Limited, Eindhoven, Den Haag, NL; Senior Project Engineer

• Built models by Logistic Regression, Random Forest, Decision Tree to predict customer retention for a telecom client.
• Used Linear Regression model to predict the sales of various connection packages.
• Made clustering techniques to find the group / segment of customers for unstructured datasets.
• Data analysis through data visualization, dashboard & reporting for KPI creation, Reports of POs / Vendors / Products/ Asset Data based on various measurements using Qlikview, Qliksense, Excel, Tableau, SQL from various sources like RDBMS, Excel, Flat file, SAP, etc.
• Transform business feature into solutions with advanced visualization techniques to help with data-driven decision-making and management reporting.
• Modernized data streamlining processes, resulting redundancy reduction.
• Complete understanding of ETL (Extract, Transform and Load) and Data modelling, NF using Tableau Prep, SSIS.
• Writing SQL queries to various stages of data and to integrate with BI tools.
• Worked in Product & IT Service analytics.
• Following & practicing scrum principle strictly on every delivery and work in an extremely Agile environment with continuous user interaction

• Frequent meeting with client and operation team for continuous requirement, business criticality and further improvements.
• Ability to handle multiple tasks and adapt to a constantly changing environment
Skills/Libraries Used: Python, Machine Learning Models - Random Forest, Decision Tree, Logistic Regression, Linear Regression, Scikit learn, Matplotlib, Seaborn, Tableau, Qlik, SQL, SSIS, Tableau Prep

Sep 2013 ~ Sep 2016 Wipro Limited, Mumbai, Kolkata, IN; Implementation Specialist

•Implementing a ITSM tool site by site
•Practicing ITIL V3 and implementing Service operation Incident, Request, Problem module, Service Transition a module individually in ITSM tool
•Managed a team of 5 for implementation project in different accounts.
•Setting and configuring SQL server, instances and their administrative models.
•Automation of Data Import & package deployment with SSIS
•Created SQL triggers, scripts, jobs, planned and performed database backup and restore procedures
•Created and migrated databases, and implemented Admin and End user and Support Staff modules
•Creating SQL database to include objects and users, managing access and providing integrity constraints
•High Availability and Disaster Recovery Management Mirroring, Replication, Always On, Log Shipping
•Performance Monitoring and Indexing Clustered, Non Clustered
•Managing complete IT Operation with 100% compliance Incident Management, Request Fulfillment, Problem
•Management and Transition Change Management, SACM in ServiceNow
•Direct client handling and attending all CR and new changes meeting for a smooth and prior deliverable
•Conjuring Single Sign On Feature

Mar 2013 ~ Sep 2013 Wipro Limited, Mumbai, IN; Site In Charge

• Identified, analysed, and resolved service failures (incidents)/requests related to IT assets.
• Handled a team of 10 for IT operation.
• Configured and fixed issues related to Lotus Notes Email Client
• Maintaining IT Operation as per ITIL V3 practice
• Writing (DDL, DML) queries, job, Maintenance plans in SQL server
• Configured network printers
• Provided users with operating systems, applications, and updates using System Center Configuration Manager (SCCM), and deployed antivirus updates
• Managed the SLAs agreed upon to ensure data security
• Setup Wi-Fi and video conference

Education

Master of Technology (IT), VIT University,  2017

Bachelor of Computer Applications, Maulana Abul Kalam Azad University of Technology, 

Certification

Tableau Desktop Specialist, Certified Scrum Master, Fundamentals of Credit from CFI, ITIL V3, ITIL 4 Fundamentals, Blockchain Essentials from IBM, CloudU fundamentals from Rackspace University, Administering SQL Server 2012 and Querying SQL Server 2012 from Microsoft Virtual Academy

履歷
個人檔案
Poila9oft366wysgj64u

Diptarup Das

 Data Scientist 
Mobile : +91 7666177447 / +91 9051997188 
In : https://www.linkedin.com/in/diptarup-das-0a42a2a2/ 

• Over 7.5+ years of experience in delivering end to end Data Science Project from Ideation to Evaluation and Model Deployment involving complete Data Science Lifecycle. 

• Expert knowledge in Exploratory Data Analysis / Statistical Analysis of raw data, Hypothesis Testing, Machine Learning Algorithms, Data Visualization by Matplotlib, Seaborn, ggplot2 

• Creating various dashboards and reports using Tableau, Qlikview / Qliksense, Excel, SQL 

• Experience in Healthcare, Telecom, Financial Analytics, Demand Forecasting and IT service analytics • SQL Database Administration & Management and IT Service Operations Business and Data Modelling with Workflow creation  

Skills


Machine Learning

Classification Algorithm: Logistics Regression, K-NN, Decision Tree, Random Forest, SVM 

Regression Algorithms: Linear Regression, Decision Trees, Random Forest

Clustering Techniques: K-Means, Hierarchical


Statistical Analysis

EDA, Inferential Statistics, Hypothesis Testing, Probability, Sampling Techniques.

Libraries: Statistics, Numpy, Pandas


Data Visualization & Dashboarding

Libraries: seaborn, matplotlib, ggplot2

Tools: Tableau, Qlik, SQL, Excel


Functional

Agile Scrum, ITIL



Work Experience

Jun 2019 ~ Present Philips Ltd., Bangalore, IN; Senior Analyst

• Built Analytical Product for cardio vascular disease detection for respiratory care system. Deployed the flow: Data Ingestion > Data Validation > Exploratory Data Analysis > Analytical Data Set Creation > Statistical Model Refresh > Model Evaluation & Prediction > Optimization 

• Building multiclass classification models with Random Forest, SVM & Decision Tree to detect quality of MRI, CT scan machines. 

• Use Linear regression to predict the sales figures across various healthcare devices. 

• Creating visualization through Matplotlib, Seaborn. 

• Making interactive dashboards with Tableau for different set of stakeholders. 

• Data Representation / Forecast in various forms from different sources. 

• Prepared & deployed the models as UI where anyone can plug and play with any of the algorithms and can deploy to see the Accuracy. 

Skills/Libraries Used: Python, Machine Learning Models - Random Forest, Decision Tree, SVM, Time Series Forecasting, Classification Models, Scikit learn, Numpy, Pandas, Matplotlib, Seaborn, Tableau. 

Sep 2016 – May 2019 Wipro Limited, Eindhoven, Den Haag, NL; Senior Project Engineer

• Built models by Logistic Regression, Random Forest, Decision Tree to predict customer retention for a telecom client.
• Used Linear Regression model to predict the sales of various connection packages.
• Made clustering techniques to find the group / segment of customers for unstructured datasets.
• Data analysis through data visualization, dashboard & reporting for KPI creation, Reports of POs / Vendors / Products/ Asset Data based on various measurements using Qlikview, Qliksense, Excel, Tableau, SQL from various sources like RDBMS, Excel, Flat file, SAP, etc.
• Transform business feature into solutions with advanced visualization techniques to help with data-driven decision-making and management reporting.
• Modernized data streamlining processes, resulting redundancy reduction.
• Complete understanding of ETL (Extract, Transform and Load) and Data modelling, NF using Tableau Prep, SSIS.
• Writing SQL queries to various stages of data and to integrate with BI tools.
• Worked in Product & IT Service analytics.
• Following & practicing scrum principle strictly on every delivery and work in an extremely Agile environment with continuous user interaction

• Frequent meeting with client and operation team for continuous requirement, business criticality and further improvements.
• Ability to handle multiple tasks and adapt to a constantly changing environment
Skills/Libraries Used: Python, Machine Learning Models - Random Forest, Decision Tree, Logistic Regression, Linear Regression, Scikit learn, Matplotlib, Seaborn, Tableau, Qlik, SQL, SSIS, Tableau Prep

Sep 2013 ~ Sep 2016 Wipro Limited, Mumbai, Kolkata, IN; Implementation Specialist

•Implementing a ITSM tool site by site
•Practicing ITIL V3 and implementing Service operation Incident, Request, Problem module, Service Transition a module individually in ITSM tool
•Managed a team of 5 for implementation project in different accounts.
•Setting and configuring SQL server, instances and their administrative models.
•Automation of Data Import & package deployment with SSIS
•Created SQL triggers, scripts, jobs, planned and performed database backup and restore procedures
•Created and migrated databases, and implemented Admin and End user and Support Staff modules
•Creating SQL database to include objects and users, managing access and providing integrity constraints
•High Availability and Disaster Recovery Management Mirroring, Replication, Always On, Log Shipping
•Performance Monitoring and Indexing Clustered, Non Clustered
•Managing complete IT Operation with 100% compliance Incident Management, Request Fulfillment, Problem
•Management and Transition Change Management, SACM in ServiceNow
•Direct client handling and attending all CR and new changes meeting for a smooth and prior deliverable
•Conjuring Single Sign On Feature

Mar 2013 ~ Sep 2013 Wipro Limited, Mumbai, IN; Site In Charge

• Identified, analysed, and resolved service failures (incidents)/requests related to IT assets.
• Handled a team of 10 for IT operation.
• Configured and fixed issues related to Lotus Notes Email Client
• Maintaining IT Operation as per ITIL V3 practice
• Writing (DDL, DML) queries, job, Maintenance plans in SQL server
• Configured network printers
• Provided users with operating systems, applications, and updates using System Center Configuration Manager (SCCM), and deployed antivirus updates
• Managed the SLAs agreed upon to ensure data security
• Setup Wi-Fi and video conference

Education

Master of Technology (IT), VIT University,  2017

Bachelor of Computer Applications, Maulana Abul Kalam Azad University of Technology, 

Certification

Tableau Desktop Specialist, Certified Scrum Master, Fundamentals of Credit from CFI, ITIL V3, ITIL 4 Fundamentals, Blockchain Essentials from IBM, CloudU fundamentals from Rackspace University, Administering SQL Server 2012 and Querying SQL Server 2012 from Microsoft Virtual Academy