BHUVANESH KHANGAR
BANGALORE
Summary
Results-oriented Software Engineer with expertise in SAP SuccessFactors (Time Off module) and SAP Analytics Cloud. Proficient in data visualization, business process enhancement, and project coordination, demonstrating a strong capability to optimize workflows and provide effective business solutions.
Overview
3
3
years of professional experience
1
1
Certification
Work History
Software Engineer
Ltimindtree
Bangalore
12.2024 - Current
- Managed the SAP SuccessFactors Time Off module for configuration, customization, and support.
- Developed SAP Analytics Cloud dashboards and MIS reports to deliver business insights.
- Gathered business requirements and translated them into targeted solutions.
- Designed and coordinated Azure DevOps testing pipelines to enhance quality and deployment.
- Collaborated with cross-functional teams to resolve issues and deliver enhancements.
Web development intern
VIEH
02.2023 - 03.2025
- Focused on front-end web development with an emphasis on user-centric design.
- Gained expertise in responsive web design principles and techniques.
- Implemented innovative solutions to enhance overall user experience.
Education
B.E - Computer Engineering
Dr. D. Y. PATIL INSTITUTE OF ENGINEERING, MANAGEMENT & RESEARCH
PUNE, India01.2024
HSC -
Sri Chaitanya Junior Kalasala
Hyderabad, India01.2019
SSC -
Sri Chaitanya High School
Hyderabad, India01-2017
Skills
- SAP Analytics Cloud
- Data visualization
- Software development
- Project scheduling and coordination
- Business process improvement
- Vendor and stakeholder management
- Tools – Python, SQL, Azure DevOps, MS Excel, Git, Power Platform (Power BI, Power Apps)
Certification
- The Complete Python Pro Bootcamp For 2023
- Python For Data Science, AI & Development
- Agile Project Management
Awards
- Techcombat 1.0, Powered by SIH, 04/01/22
- Budding Innovators Competition, organized by SIGHT, IEEE, Bombay Section, 11/01/22
Projects
- LipReader | Python, TensorFlow, Streamlit, Machine Learning, Data Science
LipReader is a full-stack application developed from the LipNet deep learning model. This application converts video files to MP4 format, displays the video and and demonstrates the lip-reading capabilities of the LipNet model.
- Crop Recommendation | Python, Machine Learning, Flask, Data Science
This ML application recommends the best crop to cultivate based on given environmental conditions such as Nitrogen, Phosphorus, Potassium levels, temperature, humidity, pH, and rainfall. It utilizes a pre-trained RandomForestClassifier model to make predictions.
Timeline
Software Engineer
Ltimindtree
12.2024 - Current
Web development intern
VIEH
02.2023 - 03.2025
B.E - Computer Engineering
Dr. D. Y. PATIL INSTITUTE OF ENGINEERING, MANAGEMENT & RESEARCH
HSC -
Sri Chaitanya Junior Kalasala
SSC -
Sri Chaitanya High School
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