Methodical and organized Accounts Executive cum MIS Executive with 4+ years of experience, managing accounts and financial records. Dedicated to ensuring information is complete and error-free, with a sharp eye for pinpointing red flags and areas for improvement. Willingness to take on added responsibilities to meet new professional challenges. I am Skilled at delivering, engaging lessons to facilitate the learning of complex things while encouraging active participation during group activities and also skilled as an effective communicator who promotes a high-performance culture by providing students with the necessary tools to achieve their academic goals. I am having a good knowledge of MIS, analytical thinking, computer proficiency, teamwork, problem solving, customer service, effective communication and also dedicated, resourceful and goal-driven professional educator with a solid commitment to the social and academic growth and development of every child.

Subjects

Excel Advanced Beginner-Expert
Accountancy Class 12
Accountancy class 11
Excel data cleaning and formatting Beginner-Expert
Excel cleaning

Experience

Accounts Executive cum MIS Executive (Mar, 2019–Present) at Pathcare labs Pvt Ltd, Hyderabad

Education

Masters of Business Administration (Jul, 2017–May, 2019) from Avanthi P.G College, Hyderabad–scored 78%

Fee details

₹500–7,000/hour (US$5.90–82.54/hour)

Courses offered

ACCOUNTANCY
- ₹6000
- Duration: 4 Months
- Delivery mode: Flexible as per the student
- Group size: Individual
- Instruction language: English, Hindi, Urdu
- Certificate provided: No
Accounting is the process of recording financial transactions pertaining to a business. The accounting process includes summarizing, analyzing, and reporting these transactions to oversight agencies, regulators, and tax collection entities.
EXCEL DATA CLEANING
- ₹6000
- Duration: 4 Months
- Delivery mode: Flexible as per the student
- Group size: Individual
- Instruction language: English, Hindi, Urdu
- Certificate provided: No
Data cleaning is the process of fixing or removing incorrect, corrupted, incorrectly formatted, duplicate, or incomplete data within a dataset. When combining multiple data sources, there are many opportunities for data to be duplicated or mislabeled.