DARSHINI SOLANKI
Washington DC
Summary
Analytical software engineer with experience in cloud computing and data analytics. Skilled in data visualization and cross-functional collaboration, driving data-driven solutions to optimize supply chain performance and improve forecasting accuracy.
Overview
2
2
years of professional experience
1
1
Certification
Work History
Software Engineer
Ford Motor Private Limited
Chennai, India
07.2024 - 08.2025
- Contributed to supply chain analytics within the Industrial Systems Analytics Team in the Global Data Insights and Analytics Department.
- Developed and implemented algorithms for the Commodity Action Platform, successfully identifying and realizing cost savings within the supply chain.
- Built and optimized forecasting models utilizing primary technologies and tools to enhance Comprehensive Turnover analysis.
- Tested and refined the Texturing Negotiation Tool, streamlining price negotiation processes and improving efficiency in procurement activities.
- Conducted in-depth data analysis to uncover insights from large datasets, informing strategic decision-making and enhancing operational efficiency across various departments.
- Collaborated with cross-functional teams to design and implement data-driven solutions, integrating machine learning models into business processes to improve forecasting accuracy and optimize supply chain performance.
DevOps Intern
Reliance Jio Ltd.
Bengaluru, India
01.2024 - 07.2024
- Implemented Continuous Integration/Continuous Deployment (CI/CD) pipelines utilizing Azure DevOps, resulting in improved deployment efficiency and reduced time to market.
- Automated code deployment and testing processes, significantly enhancing software delivery speed and overall quality through the integration of automated testing frameworks.
- Collaborated effectively with cross-functional Development and Operations teams to streamline CI/CD workflows, leading to increased system reliability and performance.
Data Engineer Intern
Global Rise Publication
04.2024 - 05.2024
- Developed advanced machine learning (ML) models utilizing Optical Character Recognition (OCR) for text extraction, BERT and RoBERTa for text analysis, and time series transformer models for optimizing schedules.
- Employed Amazon SageMaker for the deployment and management of machine learning models, ensuring scalability and operational efficiency.
Education
Master of Science - Computer Science
Georgetown University
Washington, DC05-2027
Bachelor of Technology - Computer Science and Engineering
Vellore Institute of Technology
Vellore, TN, India07.2024
Skills
- Cloud computing and Microsoft Azure
- Machine learning and data science
- MATLAB expertise
- Object-oriented programming
- Data visualization
- Web development
- Python programming
- Data structures
- MySQL database management
- C/C and Java programming
- Spring Boot and Angular frameworks
- Artificial intelligence applications
Projects
AI Assisted Literature Search
- Designed an AI-driven literature search tool that automates and improves traditional literature review methodologies by integrating advanced natural language processing (NLP) techniques for keyword extraction, sentiment analysis, and summarization.
- This project earned a Certificate of Appreciation from Johnson & Johnson, recognizing its substantial contributions to tackling real-world challenges through innovative AI technology.
Atari Game Development Using Deep Reinforcement Learning
- Worked on building an AI model capable of learning and playing a wide variety of video games autonomously. This project tackled the complexities of general game playing, a challenge closely linked to artificial general intelligence (AGI), by using video games as a testbed for developing versatile, adaptive agents that refine multiple strategies across diverse gaming environments.
Speed Reader
- Designed and implemented a speed-reading tool aimed at helping children with ADHD improve their reading skills by encouraging rapid phrase and sentence recognition. The application was developed using Java and JavaFX in IntelliJ, providing an interactive and adaptive interface to enhance reading efficiency and focus.
Certification
- Microsoft Certified, Azure AI Fundamentals
- iamneo, High Performance Coding Course using Data Structures and Algorithm Concepts
Research Preview
Applications of Machine Learning in Cloud Forensics
- Presented and published a review paper at the IEEE ICSCSS-2023 conference, organized by Hindusthan College of Engineering and Technology.
AI Assisted Literature Search
- Presented and published a research paper at the IEEE IDCIoT-2025 conference, organized by REVA University.
Accomplishments
Received a ‘Certificate of Recognition’ from Johnson & Johnson MedTech in 2024 for the development of an AI-assisted literature search tool, which effectively addresses real-world challenges through cutting-edge AI technology.
References
References available upon request.
Timeline
Software Engineer
Ford Motor Private Limited
07.2024 - 08.2025
Data Engineer Intern
Global Rise Publication
04.2024 - 05.2024
DevOps Intern
Reliance Jio Ltd.
01.2024 - 07.2024
Master of Science - Computer Science
Georgetown University
Bachelor of Technology - Computer Science and Engineering
Vellore Institute of Technology
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