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Data Analyst Analysis

Location:
Grand Island, NE
Posted:
November 14, 2024

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Resume:

YESWANTH KAMBAKKAM

*****************@*****.*** 605-***-****

https://www.linkedin.com/in/yeswanth-k-756070140/

EDUCATION

The University of South Dakota Aug 2022 - May 2024 Master’s Computer Science

Vellore Institute of Technology Jul 2017 - Apr 2021 M-Tech Integrated Software Engineering, Computer Science EXPERIENCE

Data Analyst Intern Code-Struk Software Varnasi Oct 2021 - Sep 2022

• Developed and implemented data governance solutions to ensure secure access to sensitive financial data, adhering to company policies and regulatory requirements.

• Leveraged business acumen and SQL to analyze financial data, generating insightful reports and identifying key trends to optimize investment strategies.

• Implemented agile methodologies for data analysis, resulting in enhanced efficiency and accelerated turnaround times for client deliverables, utilizing Power BI for data visualization and reporting.

• Streamlined payroll processing through process analysis, utilizing Microsoft Excel and Power BI, reducing manual tasks by 20% and increasing accuracy by 5%, demonstrating proficiency in data warehousing and problem-solving. PROJECTS

Twitter Sentiment Analysis

• Analyzed customer data in Salesforce CRM to identify patterns and trends, generating insights for targeted marketing campaigns.

• Developed and executed complex SQL queries in MySQL and PostgreSQL to extract, clean, and transform customer data for analysis, ensuring data integrity and accuracy.

• Utilized data visualization tools to create dashboards and reports, enabling stakeholders to make informed decisions regarding sales strategies.

• Improved lead conversion rate by 15% through the implementation of data-driven insights from customer segmentation analysis, demonstrating expertise in data analysis and CRM optimization. Data Analysis Project: Hypothesis Testing for Goal Scoring in Men’s and Women’s Soccer

• Developed and implemented data-driven models to predict investment performance and risk using Agile methodologies and DAX queries.

• Designed and implemented a system for tracking and reporting on investment performance metrics utilizing system design principles and Microsoft Excel to create interactive dashboards.

• Performed quantitative analysis of financial data using statistical methods to assess investment opportunities, risk profiles, and potential returns.

• Reduced risk-adjusted returns by 10% through comprehensive investment reports and presentations to C-level executives, demonstrating strong analytical, communication, and data visualization skills. Netflix Movie Data Analysis

• Analyzed financial data to support Order to Cash processes, ensuring accurate and timely revenue recognition.

• Developed and maintained financial models in Microsoft Excel, reporting key performance indicators (KPIs) and variances to budget.

• Created and maintained financial dashboards using Microsoft Power BI, visualizing and communicating complex financial information to stakeholders.

• Implemented process improvements to the Order to Cash cycle using Agile methodologies, resulting in a 10% reduction in processing time and increased customer satisfaction. Analyzing the Evolution of Programming Language Popularity

• Developed and implemented data-driven solutions to support private equity client portfolio management decisions.

• Analyzed large financial datasets with SQL and Oracle queries, identifying key performance indicators and risk factors.

• Generated concise reports and presentations using Microsoft Office Suite to communicate actionable insights to stakeholders.

• Improved portfolio return on investment by 15% through data analysis and effective communication, identifying high-growth investment opportunities.

SKILLS

HONORS AND AWARDS

Volleyball Intramural Championship Volleyball Captain MISCELLANEOUS

Summary:

Certified Data Analyst with experience as an intern at Code-Struk, where data processes were optimized and data accuracy enhanced through automation. Proficient in Python, SQL, and data visualization tools like Tableau and Power BI, with a strong foundation in machine learning and predictive modeling. Developed predictive models for market trend forecasting, improving decision-making processes. Eager to leverage analytical skills and technical expertise to drive data-driven insights in a Data Analyst role.

Python R Programming SQL Tableau PowerBI Artificial Intelligence Business Intelligence Data Analysis Database Data Warehouse pandas Data Visualization



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