Data Analyst, Analytics

Shashank Reddy Manne

+1-469-***-**** *************@*****.***

Summary

A skilled Data Analyst with experience in employing SQL, Python, and Tableau to extract, analyze, and visualize data, contributing to improved service efficiency and student satisfaction at Chapman University. Successfully led projects that reduced project turnaround times by implementing data analysis and visualization solutions. Possesses a strong foundation in data analytics and a commitment to leveraging technical skills and analytical expertise to drive meaningful insights strategically within organizations.

Education

University of North Texas

Master of Science, Advanced Data Analytics Aug 2022 - May 2024

•Achievements: GPA: 3.92

JNTU Hyderabad

Bachelor of Technology, Electronics and Communication Engineering Aug 2016 - Sep 2020

•Achievements: GPA: 3.00

Skills

Technical Skills: Python, R Programming, Advanced Excel, Tableau, Power BI, SQL, MySQL, Google Cloud Platform, Microsoft Azure, Google Analytics, Hadoop, Spark, Hive, HTML, SAP ABAP, Java Script

Core Competencies: Budget Management + Reporting, Data Modeling + Implementation, Financial + Analytical Skills, Power BI, Interactive Visualizations, Technical Support, Analytical Support, Python, Project Planning + Execution, Data + Requirement Analysis

Work Experience

Chapman University Orange, CA

Data Analyst Jul 2024 – Feb 2025

Extracted and analyzed helpdesk ticket data using SQL, identifying key performance metrics such as response times, resolution rates, and technician efficiency to improve IT support services.

Performed data preprocessing and statistical analysis using Python (pandas, numpy) to clean data, handle anomalies, and generate insights that led to process improvements.

Developed interactive Tableau dashboards to visualize response time trends, Student satisfaction scores, and technician performance, enabling data-driven decision-making by stakeholders.

Conducted A/B testing and statistical analysis to assess the impact of workflow changes, leading to a 25% reduction in resolution times and a 30% decrease in response times.

Collaborated with cross-functional teams and program management to implement new workflows in JIRA, optimizing service request routing and reducing ticket turnaround time by 20%.

Aggregated and analyzed customer feedback and performance metrics to identify areas for service improvement, leading to a 15% increase in customer satisfaction scores.

Ensured data accuracy and consistency through rigorous data cleaning and validation, improving the reliability of reporting and analytics.

Utilized Excel for data aggregation and trend analysis, supporting business requirements gathering and delivering actionable insights for IT service enhancements.

Tracked and managed project workflows in JIRA, facilitating smooth collaboration between IT support, data teams, and management for seamless process execution.

Infosys India

System Engineer Jun 2021 - Aug 2022

Conducted root cause analysis using Python and SAP ABAP to resolve issues, ensuring system stability

Developed code for the client's application modules, ensuring delivery with 100% accuracy, which significantly contributed to the project's success

Utilized SAP T-codes such as SE80, SE11, SE37, SE24, SMARTFORMS for development and troubleshooting, enhancing system functionality and reducing downtime

Managed data for business operations by fetching and updating various SAP tables, improving data accuracy and operational efficiency

Utilized ABAP to develop web-based applications, integrating with SAP systems for seamless data flow and user interaction.

Created and inserted dropdowns and interactive UI elements within SAP applications, enhancing user experience

Implemented custom SAP enhancements based on client requirements, ensuring the solutions aligned with business needs.

Contributed to optimizing the performance of ABAP programs by analyzing and improving code efficiency and database queries.

Developed ABAP programs for efficient data migration, ensuring accurate migration of legacy healthcare data into SAP, and created healthcare-specific reports for real-time monitoring of KPIs.

Implemented and optimized extractors, enhancing processes as needed, which improved data retrieval efficiency and supported better decision-making

Projects

University Of North Texas Denton, TX

Crash Reporting Drivers Data Analysis Jan 2024 - May 2024

•Implemented Logistic Regression. Decision Tree. Random Forest models predict crashes with accuracy of 100%.

•Conducted Cross validation and hyperparameter tuning for model robustness and preventing overfitting.

•Analyzed road crash data in Montgomery County (MOX-11001) using Python. Pandas, and Scikit-learn.

•Employed Pandas for data preprocessing and statistical analysis, and Scikit-learn for logistic regression modeling.

University Of North Texas Denton, TX

Sales Forecast Prediction Apr 2023 - May 2023

•This project employs the Cross-Industry Standard Process for Data Mining (Crisp-DM) methodology to estimate future sales performance.

•Through rigorous Exploratory Data Analysis (EDA) and evaluation methodologies such as regression analysis, we can predict the future sales trajectory of any organization.

University Of North Texas Denton, TX

Super Market Sales Analysis Mar 2023 - May 2023

•Utilized R programming to conduct regression and correlation analyses investigating factors influencing supermarket customer ratings.

•Key findings include the positive relationship between quantity purchased and ratings, negative impact of taxes, and higher ratings associated with higher unit prices.

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