Gopi Krishna Chegoni
@gopikrishnachegoni
Software Engineer with expertise in data-driven financial solutions.
What I'm looking for
I am a Software Engineer with around 2 years of experience in building scalable, data-driven solutions for financial analytics and data visualization. My proficiency in Python, FastAPI, SQLAlchemy, and Streamlit, combined with a strong foundation in data engineering and machine learning, allows me to transform raw data into actionable insights.
At KreativeTimebox, I developed backend APIs and interactive dashboards for a financial analytics platform, implementing fraud detection and audit reporting. My collaborative work in agile environments has led to significant improvements in audit workflows and decision-making processes. I am passionate about leveraging technology to create impactful solutions that drive business success.
Experience
Work history, roles, and key accomplishments
Software Engineer
KreativeTimebox
Jan 2024 - Present (1 year 6 months)
Developed scalable backend APIs and interactive dashboards for a financial analytics platform, implementing fraud detection and audit reporting. Collaborated with cross-functional teams in an agile environment to deliver secure, high-performance systems.
Data Analyst Intern
IBM Skill Build
Jun 2023 - Present (2 years 1 month)
Cleaned and analyzed real-world sales data to extract meaningful insights and build interactive dashboards. Conducted exploratory data analysis and created stakeholder-friendly visualizations to support business decision-making.
Education
Degrees, certifications, and relevant coursework
Guru Nanak Institutions Technical Campus
Bachelor of Technology, Computer Science and Engineering (Data Science)
Grade: 8.42/10.0
Studied Computer Science and Engineering with a specialization in Data Science. Coursework included Python, Java, Big Data, Data Science, and Computational Theory.
Narayana Junior College
Intermediate, Science
Grade: 9.78/10.0
Completed Intermediate studies with a focus on core science subjects. Coursework included Mathematics, Physics, and Chemistry.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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