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