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Business Analyst

Location:
Plainview, NY
Salary:
65000
Posted:
January 10, 2024

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Resume:

TALLA NITHIN SHASHANK

Hicksville, New York, ***** • ad2ng2@r.postjobfree.com • +1-203-***-****

• linkedin.com/in/nithin-shashank-725bb11a0

EDUCATION

Sacred Heart University, Fairfield, Connecticut September 2022 – December 2023

Master of Science in Business Analytics

Global Institute of Hotel Management, Hyderabad, India July 2017 – September 2020

Bachelor of Hotel Management and Catering Technology

SKILLS

Programming Languages: Python, SQL, Tableau, R

Microsoft Office suite: Microsoft Excel, Microsoft Word, PowerPoint

Analyzing Tools : Power BI, Microsoft Azure, SAS, Agile Methodologies, Jira, SAP, Mapping, Google analytics, Integrations

Web Technologies: Web Analytics, JavaScript, High Charts, Cloud Computing Platforms

Cloud and Deployment: Scalability, Data Storage, Data Processing, Managed Databases, Analytics Services

Database Connectivity and Management: Datawarehouse’s, ODBC, JDBC, ODAC, Data Security and Access Controls

Backend and Microservices: Data Storage, Scalability, Real Time Data Processing, APIs for Data Access

Version Control and Operating Systems: GIT, Linux, Windows, Mac,

WORK HISTORY

AIIR GLOBE INC, Fremont, California October 2023 – December 2023

Business Analyst Intern

Design new computer programs by analyzing requirements; constructing workflow charts and diagrams; studying system capabilities; writing specifications.

Improve systems by studying current practices, designing modifications.

Recommend controls by identifying problems, writing improved procedures.

Define project requirements by identifying project milestones, phases, and elements.

Provide references for users by writing and maintaining user documentation.

Analyze data to identify, Trends, patterns, and insights that can help the organization make informed decisions. Use tools like Excel, SQL, or specialized data analysis software.

VITOSIA, Hyderabad, India. January 2021 – May 2022

Business Analyst

Gather and Analyze data to trends, Pattens, and Insights.

Create dashboards and reports to share findings with stakeholders.

Work together with business teams to establish the criteria for the analysis create and keep databases and data models.

Help in the data-driven decision-making process to enhance corporate success.

Keep track of measurements and key performance indicators (KPIs).

Data gathering, Cleaning, and preparation for analysis.

To find insights, conduct exploratory data analysis (EAD).

Data visualization should be made to convey findings.

Create and keep up workflow and data pipelines.

To assure data availability and quality, work with data engineers.

Help with the planning and execution of data-driven studies.

Utilize cutting-edge statistical and machine learning methods to address challenging business issues.

Create prescriptive and predictive models to generate data-driven advice and A/B testing hypothesis testing should be done.

Work on projects involving a lot of data, such as big data analysis.

Create models and algorithms for a range of applications, including demand forecasting, fraud detection, and recommendation systems.

Employing Excels graphing and charting features, it produces visual representation of data. To illustrate trends and insights they can generate pivot tables, bar charts, line charts, Scatter plots, and more.

ACADEMIC PROJECTS

DATA MINING April 2022

In this data mining we compared the summary statistics for each cluster and give a brief description of each cluster.

Comprehending the connection between the specific categorical data in our dataset and the cluster we found.

We may have a better understanding of the distribution of variables for each cluster by looking at these summary statistics. As a result, it becomes easier for us to evaluate what each cluster might indicate given the context of our data.

Global Supply Chain Analytics May 2022

Our analysis is based on the Kaggle-Obtained DataCoSupplyChain Dataset.

The DataCoSupplyChainDataset includes useful details on a variety of supply chain components, such as order details, customer data, product information and more.

Our analysis reveals a positive correlation between order item quantity and sales per customer.

CERTIFICATIONS

Certification in BUSINESS ANALYTICS June 2021.



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