
krishna reddy M
@krishnareddym1
I build Java payment services and data-driven solutions using SQL, Python, and machine learning.
What I'm looking for
I've built Java and Spring Boot backend services for UPI payment processing at IBM, handling customer requests, transaction validation, and NPCI routing.
I deployed JAR files to Linux servers, monitored application logs and transactions, and converted JSON and XML responses for payment portal communication. I also analyzed energy data for 1,500+ commercial buildings and created Power BI dashboards for finance and operations teams.
I'm currently completing an MSc in Data Science and applying Python, pandas, scikit-learn, TensorFlow, and Keras to predictive modelling projects, including eye disease detection and a Lloyds Banking Group simulation.
Experience
Work history, roles, and key accomplishments
Guest Services Associate
Chicken Shop
Jan 2024 - Present (2 years 9 months)
Operated advanced POS systems to streamline transactions, improving accuracy by 15%. Delivered high-quality service to 100+ customers daily, increasing satisfaction by 20%.
Data Analyst
BrightNetwork
Jun 2024 - Jul 2024 (1 month)
Analyzed energy data from 1500+ commercial buildings using SQL, identifying inefficiencies that led to a 15% improvement. Built end-to-end Power BI dashboards with advanced running totals and dynamic ranking filters.
Developed and processed UPI payments, deployed JAR files on Linux servers, and monitored transactions. Built backend services using Java and Spring Boot, integrated Axis Pay flows, and converted transaction responses between JSON and XML formats.
Education
Degrees, certifications, and relevant coursework
University of Hertfordshire
Master of Science, Data Science
2024 -
Pursuing an MSc in Data Science, covering modules such as Applied Data Science, Data Handling and Visualization, and SQL. Dissertation focuses on eye disease detection using image-based prediction with machine learning.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
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