K ROHITH
Summary
Dynamic Technical Consultant with Oracle, specializing in Oracle Fusion HCM Cloud implementations. Achieved a 30% reduction in SQL query execution time while developing over 200 custom components. Proficient in Java and SQL, with strong collaboration skills to translate complex requirements into effective solutions. Committed to enhancing payroll processes and reporting accuracy.
Overview
3
3
years of professional experience
1
1
Certification
Work History
Technical Consultant
Oracle
Bengaluru
08.2022 - Current
- Led the end-to-end implementation of Oracle Fusion HCM Cloud for Payroll, Absence Management, Time and Labor, and Compensation modules.
- Developed over 200 custom code components to implement complex payroll and Tax calculations, leave accruals, overtime rules, and eligibility conditions across multiple HCM areas.
- Created more than 30 SQL-based rules and expressions used in BI Publisher reports, HCM Extract filters, and Value Sets to enhance payroll processing and reporting accuracy.
- Optimized SQL queries, reducing execution time by 30%, significantly improving the performance of reports and data extracts.
- Designed and scheduled automated data flow processes to streamline recurring data loads and ensure timely validations.
- Collaborated with functional consultants and business stakeholders to translate requirements into scalable technical solutions.
- Provided post-go-live support, troubleshooting issues, delivering enhancements, and optimizing payroll and time-related processes.
- Created detailed documentation of all technical processes and procedures.
Education
B.E. - Computer Science
Nitte Meenakshi Institute of Technology (VTU)
01.2022
Senior Secondary -
CBSE Board
01.2018
Secondary -
CBSE Board
01.2016
Skills
- Java
- Python
- SQL
- Fast Formulas
- HCM Extracts
- Numpy
- Pandas
- Yfinance
- Data Structures
- Algorithms
- System design
- Database Management System
- Object Oriented Programming
- Operating Systems
- Computer Networks
- SQL query optimization
Projects
Portfolio Optimization with Risk Parity Approach, Python, Y Finance
- Built a portfolio allocation model using the Risk Parity approach to balance risk evenly across assets. Calculated covariance and volatilities from historical data and used quadratic programming to optimize asset weights. The model outperformed traditional market-cap weighted portfolios by delivering lower volatility and better risk-adjusted returns over three years.
Dynamic Portfolio Allocation Using Reinforcement Learning Python, TensorFlow/PyTorch, OpenAI Gym, cvxpy, pandas, NumPy,
- Designed an RL-based system to dynamically adjust portfolio weights based on market conditions. Trained agents like DQN and PPO using historical price data and risk indicators in a custom OpenAI Gym environment. Compared performance with traditional strategies, showing better adaptability and returns.
Certification
- Oracle APEX Cloud Developer
- Oracle Fusion Cloud Applications HCM Process Essentials
- Oracle Cloud Infrastructure Certified Generative AI Professional
Timeline
Technical Consultant
Oracle
08.2022 - Current
B.E. - Computer Science
Nitte Meenakshi Institute of Technology (VTU)
Senior Secondary -
CBSE Board
Secondary -
CBSE Board