CH.ESWAR SANDEEP

Mobile: +91-837*******

E-mail: adx2kv@r.postjobfree.com

OBJECTIVE

Seeking a progressive career to constantly upgrade myself to the highest level of learning and perform well in a challenging environment, which enables my personal and professional growth simultaneously. ACADEMIC QUALIFICATIONS:

College Name Course University/Board Year Of Passing CGPA/Percentage Institute of

Aeronautical

engineering,

Hyderabad

B.Tech

(E.C.E)

JNTUH

2017-2022 6.27 CGPA

Sri gayatri junior

College,

Hyderabad

Intermediate (M.P.C) Telangana state board of

Intermediate Education

2015-2017 82.5%

Rao’s my techno

School,

Siddipet

Secondary

School

Education

Board of Secondary

SchoolEducation,

Telangana

2014-2015 9.2 CGPA

WORK EXPERIENCE:

AMAZON- Worked as HUMAN RESOURCE OPERATIONS

Worked as a CTK(Central Time Keeping)

I Handled the People punches, and Attendance management.

I worked on trouble ticket queue of Timekeeping and Attendance issues .

The primary focus would be the resolution of incoming time and attendance inquiries with o pportunities for other engagement upon completion of centralized responsibilities.

A keen understanding of client attendance policies, employee groups, and applicable state and federal laws are necessary.

I focus primarily on how to resolve ticket and report directly to the Time and Attendance manager or Time and Attendance POC.

Knows how to escalate and able to provide feedback regarding the role and work volume.

Deals with employee requests regarding human resources issues, rules, and regulations.

I have worked on different tools like Smart Forms, Panorama, MyTime, Sim T, People Portal, Lenels, Buoy.

WORKSHOPS AND INTERNSHIPS:

Participated in robotics workshop conducted by path creators at IARE in 2017. ACHIEVEMENTS:

Event organizer:

Conducted an event in technical fest CONSORTIUM at IARE.

Conducted inter college football tournaments for the years- 2018,19,20 CIYARAAH at IARE ACADEMIC PROJECT:

Skin cancer detection using CNN

Description: Using Deep learning technique, we have developed a convolution neural network model which can detect skin cancer from a digitally captured image which can be taken by basic image capturing device, so that anyone can perform the test at home. A deep neural network model was trained to classify the skin lesion among 7known skin cancer categories on HAM10000 dataset, yielding 78% accuracy.

Organisation : Institute of aeronautical engineering(IARE)

Duration : 40 days

Project members : 3

TECHNICAL SKILLS:

Sql

Manual testing

Java

Excel, MS-Office, Outlook

STRENGTHS:

Strong leadership and motivational skills

Positive Mindset

Self-motivated and optimist

Quick learner and Team player.

Time management

PERSONAL INFORMATION:

Date of birth : 2nd sep,1999

Father’s name : Ch.Malleshwar rao

Mother’s name : Ch.Sudha

Address : 18-19-138/2,Srinivas nagar,siddipet,502103

Nationality : Indian

Languages known : English,Telugu,Hindi

Declaration:

I hereby declare that all the information stated above is true to the best of my knowledge and belief. Place: Hyderabad

(CH.ESWAR SANDEEP)

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