Handling a team of 14 L1 VDI support (Azure and GCP) service desk engineers.Managing and Optimizing principles such as skill-based routing, shrinkage.Taking 1st round of screening interviews for new applicants.Providing appropriate product support to new hires and helping them while OJT.Running the Bridges throughout involving all relevant Resolver groups, coordinators andstakeholders.Maintaining team’s daily tracker, pending report, aging tickets, SLA report on Powerbi etc. andtaking appropriate action on the same.Initiating daily team huddle and develop ideas to make project work better.Log all Incident details, allocating categorization and prioritization codes.Own all Incidents throughout the lifecycle.Introduces key ITIL disciplines and practical project management techniques to ensure effectiveend to end incident management and resolve it within SLA.Organizing shift schedules for team members and Monitoring attendance, tardiness and time offConducting performance reviews and sharing feedback with both upper management and teammembers.Adhering to company policies and health, safety and employment standards.

Help organize IT resources in accordance with business needs and priorities.• Real time monitoring of Incidents on PowerBI dashboard for proactive resolution.• Real time user Mobility device monitoring on dashboard.• Real time monitoring of Product Information Management (PIM) of Global User Inventory.• Encourage environment for self service via Virtual Assistant support, NLP chatbot.• L1 Support to all Data Centre Activities.• Responsible for Asset and Infrastructure Change Management processes within all Data Centers.• Maintains documentation, inventory sheets and diagrams.• Knowledge on Change and Incident management process.

Analyzed the dataset of Indian crop Production from the year 1997 to 2015 to find important insights highlighting key indicators that influence Crop Production. Used Google Collab for imputation and analyzed data used python libraries like Pandas, Matplotlib and Seaborn Upload Dataset on Microsoft PowerBI and used some charts like Area Chart, Column Chart, Waterfall chart and Map chart to get important insights on Production yield, States, Seasons and Zonal key insights.

Data Collection-Web scrap Flight data through leading websites like Clear trip, Yatra, MakeMyTrip, goibibo with Python Selenium package Data Analysis- Data cleaning on Scraped data, Ad hoc data analysis like how airfare changes frequently, trend of price goes up-down over time, best time to buy ticket on low fares, Which flight is cheaper and KPI which affects fare prices. Machine Learning Model Build- Data Cleaning, EDA , Data Preprocessing, Visualization- heat map, bar plot, Scatter Plot, cat plot, Linear regression, Random Forest, AdaBoost Regression, Hyper Tuning.

-Providing 1st Level Technical Support to end-users. - Maintenance of computer hardware systems and system assembly.-Microsoft outlook configuration, backup, troubleshooting. - Installation of Data card Like Tata photon+ And Reliance Net connect etc - Installation & Configuration of Network printers & Scanner and its basic level of troubleshooting. - Managing & Monitoring LAN Network.-Installation of Antivirus, Patches & Updates from Backend side & frontend both. -Experience in installation of Windows, configuration, Technical troubleshooting, operating systems, Microsoft application software and peripherals, Windows 95/98, 2000, XP.-Worked on PROMETRIC PROJECT (online exam of NBE’2014)