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Hi! I'm Diksha Aswal, a motivated Computer Science professional with a passion for developing and deploying machine learning models. I enjoy working with cloud-native infrastructure on AWS and have strong skills in Python, SQL, and C++. Over the years, I've built scalable applications, designed data pipelines, and solved complex technical problems. Currently, I'm pursuing my Master's in Computer Science at SUNY Binghamton, where my research focuses on semantic shift detection in congressional hearings. With experience as a data scientist and intern at Amazon and Moonfrog Labs, I thrive in dynamic environments where I can apply data-driven approaches to real-world challenges.…Hi! I'm Diksha Aswal, a motivated Computer Science professional with a passion for developing and deploying machine learning models. I enjoy working with cloud-native infrastructure on AWS and have strong skills in Python, SQL, and C++. Over the years, I've built scalable applications, designed data pipelines, and solved complex technical problems. Currently, I'm pursuing my Master's in Computer Science at SUNY Binghamton, where my research focuses on semantic shift detection in congressional hearings. With experience as a data scientist and intern at Amazon and Moonfrog Labs, I thrive in dynamic environments where I can apply data-driven approaches to real-world challenges.

Diksha Aswal

Data Scientist, AI Engineer, Developer, +1

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Hi! I'm Diksha Aswal, a motivated Computer Science professional with a passion for developing and deploying machine learning models. I enjoy working with cloud-native infrastructure on AWS and have strong skills in Python, SQL, and C++. Over the years, I've built scalable applications, designed data pipelines, and solved complex technical problems. Currently, I'm pursuing my Master's in Computer Science at SUNY Binghamton, where my research focuses on semantic shift detection in congressional hearings. With experience as a data scientist and intern at Amazon and Moonfrog Labs, I thrive in dynamic environments where I can apply data-driven approaches to real-world challenges.…Hi! I'm Diksha Aswal, a motivated Computer Science professional with a passion for developing and deploying machine learning models. I enjoy working with cloud-native infrastructure on AWS and have strong skills in Python, SQL, and C++. Over the years, I've built scalable applications, designed data pipelines, and solved complex technical problems. Currently, I'm pursuing my Master's in Computer Science at SUNY Binghamton, where my research focuses on semantic shift detection in congressional hearings. With experience as a data scientist and intern at Amazon and Moonfrog Labs, I thrive in dynamic environments where I can apply data-driven approaches to real-world challenges.

Available to hire

Hi! I’m Diksha Aswal, a motivated Computer Science professional with a passion for developing and deploying machine learning models. I enjoy working with cloud-native infrastructure on AWS and have strong skills in Python, SQL, and C++. Over the years, I’ve built scalable applications, designed data pipelines, and solved complex technical problems.

Currently, I’m pursuing my Master’s in Computer Science at SUNY Binghamton, where my research focuses on semantic shift detection in congressional hearings. With experience as a data scientist and intern at Amazon and Moonfrog Labs, I thrive in dynamic environments where I can apply data-driven approaches to real-world challenges.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

Amharic

Intermediate

Afar

Intermediate

Work Experience

Data Science Intern at Amazon

March 31, 2025 - July 31, 2025

Built and productionized a cloud-native ticket similarity search model by integrating transformer-based embeddings with AWS CDK, Lambda, OpenSearch, and API Gateway, achieving 89% similarity accuracy. Developed an NLP model to predict mitigation tags for service tickets using TF-IDF and a voting classifier ensemble, improving performance by 20%, containerized with Docker and deployed on SageMaker using S3 and Lambda. Designed and implemented ETL pipelines to automate and streamline data workflows for modeling and analysis.

Senior Data Scientist at Moonfrog Labs Pvt. Ltd.

April 30, 2023 - July 31, 2025

Improved competition equity by 25% in the Teenpatti online game by optimizing fairness with the Gini coefficient, implemented in Python with data visualization. Developed and deployed fraud detection models using Isolation Forest for anomaly detection, increasing daily fraud identification by 133%, managing workflow with Python, Scikit-learn, and SageMaker. Setup personalized promotions using player clustering validated through A/B testing, leading to 12% revenue increase.

Data Scientist at Moonfrog Labs Pvt. Ltd.

August 31, 2020 - July 31, 2025

Performed exploratory data analysis on over 3 million users’ data to evaluate feature performance and identify product improvement opportunities. Designed and optimized ETL pipelines using Python, SQL, AWS Glue, and Rundeck to transform and load data into Amazon Redshift, improving processing efficiency by 30%. Created 20+ interactive Looker dashboards and streamlined reports to highlight KPIs, enabling data-driven decision-making.

Associate Data Analyst at Moonfrog Labs Pvt. Ltd.

December 31, 2018 - July 31, 2025

Executed A/B testing on in-app promotions, improving conversion rates by 10%, extracted experimental data via SQL, and conducted statistical testing and uplift analysis with Python libraries. Enhanced ML-based fraud detection by introducing a hybrid XGBoost model, reducing false positives by 64%.