Objective:

Highly motivated and detail-oriented individual with a

strong passion for data analysis, seeking an entry-level position as a Data Analyst. Eager to apply the knowledge gained through coursework and self-study to contribute to a data-driven organization.

Education:

Bachelor of Technology

ACET, Aligarh

Training and Certifications:

Completed online courses and tutorials on data analysis, including:

Introduction to MS Excel

Introduction to Data Analytics

Statistics Essential for Data Science

SQL Training

PGP Data Analytics Program

Projects:

- ScienceQtech Employee Performance Mapping: Worked on generating reports on Employee details, their

performance and on the project that the employees

have undertaken, to analyze the employee database

and extract specific data based on different

requirements. The Project was done using SQL.

- EDA on Hotel bookings: Analyzed a dataset of customer bookings to identify key areas for improvement in booking rate and customer satisfaction. Utilized Excel to clean and organize the data, performed basic statistical analysis, and presented findings through visualizations.

Skills:

1. Data Analysis:

- Basic understanding of data analysis principles and techniques.

- Familiarity with data manipulation, cleansing, and visualization using tools like Excel.

- Working knowledge of SQL for data querying and

extraction.

2. Statistical Concepts:

- Proficient in basic statistical concepts, including mean, median, mode, and standard deviation.

- Understanding of hypothesis testing and statistical significance.

3. Data Visualization:

HIMANI

AGRAWAL

CONTACT

513-***-****

CINCINNATI, OHIO

https://www.linkedin.com/in/hi

mani-agrawal-learner/

adyf49@r.postjobfree.com

- Experience creating basic visualizations using Excel or online platforms like Google Data Studio.

- Familiarity with creating charts, graphs, and

dashboards to present data effectively.

4. Problem-Solving:

- Strong analytical and problem-solving skills to tackle data-related challenges.

- Ability to think critically and identify trends or patterns in data.

5. Communication:

- Effective written and verbal communication skills.

- Ability to present data findings and insights in a clear and concise manner.

Additional Skills:

- Proficient in Microsoft Office Suite (Excel, Word, PowerPoint).

- Proficient in SQL

- Familiarity with programming languages such as Python, JavaScript and HTML (basic level).

- Strong attention to detail and ability to work with large datasets.

References:

Available upon request.

Contact this candidate