Saloni Bhingardive
@salonibhingardive
Data Science and Machine Learning enthusiast focused on building cloud-ready, insightful analytics and automation.
What I'm looking for
I’m a Data Science, Cloud, and Machine Learning enthusiast studying Computer Science and Engineering (Data Science), where data-driven analysis and prediction are what truly excite me. I aim to contribute in a collaborative environment, learn from experienced professionals, and leverage my skills in Cloud Computing, Data Science, and visualizations.
In my internships, I built hands-on machine learning workflows using real-world datasets—cleaning data, visualizing patterns with Matplotlib and Seaborn, and implementing models with Scikit-learn. I also strengthened my DevOps foundation through Linux and Shell scripting and secure 3-tier Azure work using Terraform, Docker, Jenkins, and Git. My projects—from a Q-Learning adaptive learning dashboard to ML-driven pipeline condition classification and CI/CD-enabled Azure deployments—reflect my drive to ship scalable, cost-aware solutions with measurable impact.
Experience
Work history, roles, and key accomplishments
DevOps Intern
Coditas
Jan 2026 - Present (5 months)
Built a foundation in Linux, shell scripting, and networking while working on secure 3-tier architectures in Azure. Used Terraform, Docker, Jenkins, and Git to support real-world CI/CD workflows.
ML Intern
RCOEM–TATA–CIIIT Center of Excellence
Jun 2025 - Present (1 year)
Analyzed and cleaned real-world datasets and visualized key patterns using Matplotlib and Seaborn. Implemented ML models in scikit-learn including Logistic Regression, K-means, Decision Trees, and Random Forests.
Web Development Intern
TechnoHacks EduTech
Jun 2024 - Present (2 years)
Developed dynamic web pages using HTML, CSS, and JavaScript, focusing on responsive landing and portfolio layouts. Built reader website landing pages and personal portfolio design pages with clean, responsive UI.
Education
Degrees, certifications, and relevant coursework
St. Vincent Pallotti College of Engineering and Technology
Computer Science and Engineering (Data Science), Computer Science and Engineering
2022 - 2026
Grade: CGPA: 9.03
Pursuing Computer Science and Engineering (Data Science) with a current CGPA of 9.03.
St. Ursula Junior College
Higher Secondary Certificate (HSC), PCMB
2020 - 2022
Grade: 79.83%
Completed HSC with PCMB (Physics, Chemistry, Mathematics, Biology), scoring 79.83%.
St. Joseph’s Convent Girls’ High School
Secondary School Certificate (SSC), Secondary Education
2010 - 2020
Grade: 90.60%
Completed SSC with a score of 90.60%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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