Open to opportunities

Gopi Krishna Chegoni

@gopikrishnachegoni

Message

Software Engineer with expertise in data-driven financial solutions.

India

Message

What I'm looking for

I am looking for a role that fosters collaboration, encourages innovation, and offers opportunities for professional growth in data analytics and engineering.

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

Current

Software Engineer

Current

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.

Python fastAPI SQLAlchemy Streamlit Snowflake Git GitHub Pandas scikit learn

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.

Python Excel NumPy Pandas Matplotlib Power BI DAX

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.