Data Engineer Analyst

Siri Belur Chandrashekar

Data Engineer

Birmingham, AL (205) 907 - 8386 *******@*****.***

Profiles Siri Chandrashekar

Summary Highly skilled developer with over 5 years of experience in Python-based application development and Oracle HCM Fusion implementation. Skilled in automation, data analysis, web development, and GUI design using Python frameworks like Flask, Pandas, and Tkinter. Proficient in managing and optimizing HCM solutions, specializing in Core HR, Talent Management, and ORC migrations. Strong expertise in delivering scalable solutions and aligning technical implementations with business needs. Skills Languages

Python, Java, C/C++, PL/SQL

Cloud Technologies

Oracle Cloud HCM, Oracle Cloud Taleo

Analytical and Reporting Tools

MS Word, MS Excel, OTBI, OBIEE, Power BI, Dashboard Creation, Interactive Report Design, SAP Analytics Cloud, Microsoft Office

Integration Tools

Oracle Integration Cloud, BI Publisher, HCM Data Loader (HDL) Package and Tools

Pandas, NumPy, Tkinter, Matplotlib, Seaborn, PyQt, Smtplib, HTTP Requests, PySpark, PyTorch ERP Systems

Oracle HCM Fusion, Oracle Taleo, Core HR Configuration, Talent Management, Absence Management, Oracle Recruiting Management, SAP HCM

IDEs

IntelliJ IDEA, VS Code, PyCharm

Experience Auburn University at Montgomery

Data Analyst & Project Lead

Jun 2024 - Aug 2024

Led data analysis efforts for a smart traffic control application, utilizing Python (Pandas, NumPy) and SQL (MySQL 8.0) to process and analyze large datasets, resulting in a 25% improvement in route optimization accuracy.

Applied Lean and Six Sigma methodologies to streamline data pipelines and reduce processing time by identifying and eliminating inefficiencies in ETL workflows. Developed and maintained dashboards and reports using Tableau and Power BI, providing stakeholders with real-time insights into traffic patterns and system performance metrics. Implemented data validation rules, anomaly detection, and data profiling using tools such as OpenRefine, Great Expectations, and custom Python scripts to ensure data integrity, accuracy, and compliance with quality standards.

Performed A/B testing, hypothesis testing, and statistical analyses to evaluate the effectiveness of dynamic pricing models, leading to a 15% increase in user engagement. Automated data collection processes through web scraping (using Selenium, BeautifulSoup) and API integrations, streamlining data ingestion workflows and reducing manual data entry by 40%. Collaborated with cross-functional teams, translating complex data findings into actionable insights, and contributing to strategic decision-making processes. Led a cross-functional team of 4 in developing a traffic optimization app, overseeing market research, technical design, revenue modeling, and fundraising, while driving Agile practices to ensure rapid, high-quality software delivery.

Accenture Solutions Pvt Ltd/Intertek Group Plc

Application Development Senior Analyst

Sep 2019 - May 2023

Planned and executed sprint goals with the product owner, optimizing task assignments for high- quality, on-time project deliveries, while maintaining Agile/Scrum methodology for continuous improvements in Oracle HCM implementations.

Worked on front end frame works like CSS Bootstrap for development of Web applications integrating with backend services built in Java frameworks. Implemented tailored career site personalizations by leveraging Custom CSS, HTML, and JavaScript, optimizing candidate experience and ensuring seamless integration of Fusion modules. Integrated REST APIs with Python scripting to automate data extraction, transformation, and synchronization between Oracle HCM modules, utilizing JSON for structured data exchange. Designed and implemented front-end enhancements for a client's career site using Tkinter and PyQt GUI libraries, improving user interaction and functionality through dynamic UI updates. Automated data processing using Python (Pandas, NumPy), enabling comprehensive analysis of large datasets and reducing manual effort by 40%.

Created interactive visualizations using Matplotlib and Seaborn to present data insights from web- scraped information extracted using BeautifulSoup. Developed various Fast Formulas performed PL/SQL programming for specific custom requirements in Global HR, Benefits, Talent Management Modules and HCM Extracts. Exposure to PeopleSoft HRMS Core HR, Talent, Compensation, ESS, and MSS modules, enabling workforce management, payroll, benefits, and self-service functionalities. Single-handedly led end-to-end migration of 10,000+ candidate records from Taleo On-Premises to Oracle Recruiting Cloud (ORC), reducing onboarding errors by 70% and accelerating implementation timelines by 30%.

Implemented Selenium-based UI automation using Object-Oriented Python, increasing test coverage by 50% and reducing QA turnaround time by approximately 30%. Implemented unit testing and regression testing using PyTest, ensuring high-quality, bug-free code and improving software stability across Oracle HCM modules. Designed and optimized databases using MySQL and SQL Server, while developing OTBI and BI reports with SQL and Crystal Reports.

Improved database performance through advanced indexing, query optimization, and tuning techniques.

Handled bulk data uploads using HDL and PBL for payroll processing and eligibility management. Utilized Workday and ServiceNow to troubleshoot and resolve high-priority issues and resolved help desk tickets promptly, delivering exceptional customer service and ensuring minimal downtime and maximum user satisfaction.

Maintained version control and facilitated team collaboration using Git and GitHub, aligning with CI/CD pipelines and code quality standards to ensure smooth feature integration and bug fixes. Collaborated with Customer Support Engineers and product teams utilizing JIRA to manage epics, assign user stories, and ensure timely delivery of key milestones. Life Insurance Corporation (LIC)

Software Developer

May 2019 - Sept 2019

Bengaluru, India

Worked with the Waterfall methodology to manage project phases in a structured manner, ensuring clear documentation, timely delivery, and seamless transitions between requirements gathering, design, development, testing, and deployment, emphasizing cross-functional collaboration to ensure alignment across teams.

Leveraged SAS for data cleaning, predictive scenario development, and forecasting models aligned with LIC’s operations, driving problem-solving through data-driven insights into customer trends and policy performance for better decision-making.

Designed and analyzed data models in SAP Analytics Cloud, and created interactive storyboards to visualize key metrics, supporting strategic decision-making across departments. Extensively used SQL Developer IDE to write, optimize, and execute Oracle SQL queries for data extraction, report generation, and troubleshooting within LIC’s enterprise systems, promoting time management by optimizing processes and reducing downtime. Checked and managed version control using Bitbucket to review and commit code changes, maintaining code quality and consistency across the team, and reducing deployment issues. Built strong relationships with management through effective communication and leadership, tracking milestones, and documenting progress in Confluence to ensure project timelines and objectives were met.

Education Auburn University at Montgomery

Master of Science in Management Information Systems 4.00 GPA

Jan 2024 - May 2025

Dayananda Sagar College of Engineering

Bachelor degree in Telecommunication Engineering

9.45 GPA

Aug 2015 - May 2019

Research Paper

Presentation

Metaverse Education Validation using TTF Model April 2025 Destin, FL

Metaverse education leverages technologies like VR, AR, and MR, combined with 5G and AI, to create interactive learning environments that enhance teaching and learning by bridging theoretical knowledge with practical application.

The Task-Technology Fit (TTF) model highlights that the alignment of technology with educational tasks improves performance and user satisfaction.

Under professor's guidance, I have had the opportunity to present this paper as a contribution to the academic discourse.

Academic Projects Information Systems Consultant Aug 2024 - Dec 2024 Led a 10-member consulting team in a university-based Information Systems project, streamlining academic processes from syllabus design to grading through BPMN modeling and structured workflow analysis.

Performed data analysis on key performance indicators (KPIs) using Excel and SQL, identifying bottlenecks and process inefficiencies; recommended optimizations to improve system effectiveness and reduce turnaround time.

Designed interactive dashboards and visual reports using Power BI to present insights on process performance, stakeholder engagement, and project outcomes; supported decision-making with clear data visualizations.

Applied selection frameworks and implementation planning, including Gantt chart scheduling, risk assessment, and IS governance modeling; ensured compliance with security standards and academic policies.

Secured Transmission of Image Based on Bernstein Polynomial Jun 2018 - Jun 2019 Developed a novel image compression technique using Bernstein polynomials over Galois field GF(p), optimizing satellite image storage while preserving critical data integrity Implemented and verified a secure cryptographic algorithm using MATLAB. Achieved faster encryption and decryption times compared to existing public key cryptographic algorithms like RSA and ECC

Certifications ORC

Oracle Recruiting Cloud 2021 Implementation Essentials Oracle Recruiting Cloud 2019 Certifies Implementation Specialist Interships Konigtronics Private Limited, Bangalore Intern

May 2017 - Jun 2017

Developed Sense_graph, an Android app for real-time monitoring of volatile liquids and gas leakages using MQ3 and MQ5 sensors.

Conducted research on gases and volatile liquids, analyzing key factors like accuracy and precision. Publications Practical Implementation of Real time sensing Sensor Values using Android Application IJARCEE

May 2017

https://ijarcce.com/upload/2017/may-17/IJARCCE%20117.pdf

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