Abhinav Singh Email & Phone Number

Bengaluru, Karnataka, India

Spearheaded the development of RESTful APIs using Flask to manage 20+ airline ticket pricing categories, improving rule application speed by 15%.Consolidated 30+ MongoDB collections into a unified view, reducing query times and simplifying operational workflows for Air India.Used NLP-based similarity algorithms to map competitor airline fares, creating a fare ladder that enhanced the understanding of the host airline's market position.Designed and implemented a Transformers-based chatbot for the airline's sales team, facilitating seamless inter-team collaboration and enabling faster decision-making for ticket pricing.Refactored and migrated 10+ legacy scripts from Python 2.7 to 3.11, improving efficiency by 25% and reducing maintenance overhead.Led cloud adoption initiatives by migrating workflows to cloud environments, ensuring scalability and faster data processing.Collaborated in Agile sprints, utilizing Jira for task management and Confluence for documentation, while maintaining code quality with unit testing and TDD practices.

Bengaluru, Karnataka, India

Extracted crucial data from a 10TB Snowflake data lake for Westlaw product sales & views dashboards on Power BI.Implemented 4+ DAX queries, incorporating over 5 KPIs for comprehensive insights.Improved efficiency by optimizing 4 Snowflake SQL scripts, resulting in 5% faster data processing Developed 4 Alteryx workflows for automated PowerBI report generation. Contributed to Python script utilizing NLP to identify IRS form names from 100+ forms in customer tickets with 88% accuracy. Implemented more than 3 similarity techniques for accurate form recognition.

Delhi, India

Developed a predictive model using regression analysis to estimate concrete strength. Employed K-nearest neighbors (KNN) imputation to handle missing data, applied log transformation to normalize data, and scaled training and test datasets separately to avoid data leakage, achieving a predictive accuracy of 91%.Leveraged multiple machine learning models including KMeans clustering for pattern recognition, loaded cluster-based models to segment data, and presented the results in a Power BI dashboard with three key performance indicators (KPIs) highlighting insights from the data.

Bengaluru, Karnataka, India

Developed a Python script to optimize the installation of the Oracle Database, contributing to improved server operations using Oracle VM VirtualBox: Created a Python script tailored to streamline the installation process of Oracle Database. The script facilitated smoother installation procedures on Linux Servers, particularly leveraging Oracle VM VirtualBox.Demonstrated proficiency in utilizing REST APIs, extensively employing GET, POST, and PUT methods on a simulated server environment with Postman API.

Bachelor Of Technology - Btech, Computer Science

Senior Secondary, Pcm