Open to opportunities

Deepak Karalapati

@deepakkaralapati

Message

I build reliable Python data pipelines and actionable analytics workflows.

India

Message

What I'm looking for

I'm looking to apply data engineering, analytics, machine learning, and experimentation in collaborative cross-functional environments, especially on player analytics, product insights, and data-driven business decisions.

At Sumedha IT Solutions, I built Python and SQL analytical workflows across 70,000+ structured records, eliminating manual validation and reducing engineering overhead by approximately 40%.

I've designed ETL/ELT pipelines that connect REST APIs with Oracle and SQLite, then clean, validate, and translate multi-source data into reports and visualizations for technical and non-technical stakeholders. I also resolved 30+ critical data failures through CI/CD-automated, reproducible workflows with zero post-release regressions.

Through projects including a predictive analytics pipeline, an LLM task automation agent, and AgriBot, I've applied machine learning, statistical testing, Power BI, real-time data collection, and structured data validation to turn complex data into measurable business insights.

Experience

Work history, roles, and key accomplishments

Data & Automation Engineer

Sumedha IT Solutions

Oct 2024 - May 2025 (7 months)

Performed end-to-end exploratory data analysis and validation on 70,000+ records using Python and SQL, eliminating manual validation steps and reducing engineering overhead by ~40%. Designed and deployed ETL/ELT pipelines integrating REST API data sources with relational databases, and built CI/CD-automated analytical workflows with zero post-release regressions.

Python Pandas NumPy SQL ETL ELT REST APIs Oracle SQLite CI CD Agile Scrum Jira Confluence Data Validation Data Quality

Education

Degrees, certifications, and relevant coursework

Presidency University

Bachelor of Technology, Electronics & Communication Engineering

2020 - 2024

Pursued a Bachelor of Technology in Electronics & Communication Engineering, covering probability, statistics, data structures, algorithms, and computer networks.