• 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
Classification Algorithm: Logistics Regression, K-NN, Decision Tree, Random Forest, SVM
Regression Algorithms: Linear Regression, Decision Trees, Random Forest
Clustering Techniques: K-Means, Hierarchical
EDA, Inferential Statistics, Hypothesis Testing, Probability, Sampling Techniques.
Libraries: Statistics, Numpy, Pandas
Libraries: seaborn, matplotlib, ggplot2
Tools: Tableau, Qlik, SQL, Excel
Agile Scrum, ITIL
• 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.
• 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
•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
• 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
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
• 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
Classification Algorithm: Logistics Regression, K-NN, Decision Tree, Random Forest, SVM
Regression Algorithms: Linear Regression, Decision Trees, Random Forest
Clustering Techniques: K-Means, Hierarchical
EDA, Inferential Statistics, Hypothesis Testing, Probability, Sampling Techniques.
Libraries: Statistics, Numpy, Pandas
Libraries: seaborn, matplotlib, ggplot2
Tools: Tableau, Qlik, SQL, Excel
Agile Scrum, ITIL
• 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.
• 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
•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
• 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
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