Data Science enthusiast skilled in data analytics, machine learning, statistics. Ability to work with Python, ML, Data Science. I wish to work in the challenging and rewarding career with lot of professional growth in a globally competitive working environment, to face a challenging position where I can share and enrich my knowledge and effectively contribute my skills and discharge my ability for the growth of company.
1. Dealt with HP Applications like HP Service Manager, HP Asset Manager and HP Asset Validation
2. Worked with emails and automation tickets troubleshooting them or escalating them to appropriate team for further action.
3. Worked on the ticketing tool HPSM (HP Service Manager) of all the instances AMS1, APJ, EMEA1 and EMEA2 as we provide access to them and we are the first level support.
4. Provided floor support and mentored new agents during their nesting period.
5. Contributed to the overall availability and reliability of service delivered to the client, ensuring that Service Level agreements (SLA) are met.
6. Created daily and weekly reports for the desk.
7. Attend Collaboration calls and provide updates to the Service desk in case of any new process update or to improve service of the desk. 8. Maintaining the quality of satisfaction of customers and users based on the proper functioning of the process .
Data cleaning, EDA, Visualization, Handling ML based projects
Data Science (09/2022 - 09/2022) Management of lifestyle diseases in hospitalized patients has a significant bearing on outcome, in terms of both morbidity and mortality. The main object for this problem is to predict whether a patient is likely to be readmitted to hospital based on the previous details of the patient .
-Applied Random Forest Algorithm using Python to predict whether the patient has to readmit or not.
Data Science (09/2022 - 09/2022) Management of lifestyle diseases in hospitalized patients has a significant bearing on outcome, in terms of both morbidity and mortality. The main object for this problem is to predict whether a patient is likely to be readmitted to hospital based on the previous details of the patient .
-Applied Random Forest Algorithm using Python to predict whether the patient has to readmit or not.