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Aashishkumar
Data Science Training
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Competencies
Applied JavaScript extensively in developing interactive web interfaces and client-side logic.
Utilized React.js to build dynamic and responsive user interfaces across multiple projects.
Designed and optimized database schemas, wrote queries, and managed data effectively for application backend.
Participated in planning, executing, and monitoring projects' progress in a fast-paced development environment.
Worked within Agile teams using Scrum practices to deliver software incrementally.
Education
Summary
Experienced software developer specializing in web applications with a focus on front-end and back-end integration, delivering functional and user-centric solutions.
Key Achievements
- Led the development of a customer portal that improved user engagement by integrating features such as real-time notifications and personalized dashboards.
- Contributed to multiple projects, gaining experience in both front-end and back-end technologies, demonstrating versatility and continuous growth.
- Collaborated with cross-functional teams to deliver project milestones, ensuring timely completion and high-quality standards.
Experience
Data Science Training
Completed a structured, industry-oriented Data Science program covering end-to-end concepts in Data Science and Machine Learning., Gained expertise in Python, SQL, Statistics, Exploratory Data Analysis (EDA), Machine Learning algorithms, and Deep Learning fundamentals., Strengthened problem-solving and analytical skills through practical case studies, assignments, and interview preparation sessions.
Machine Learning Intern
Gained hands-on experience in Machine Learning algorithms including classification, regression, clustering, NLP, and deep learning., Developed and deployed ML models in Python, improving prediction accuracy by 15–20% on benchmark datasets., Applied statistical techniques and visualization methods to analyze datasets and derive meaningful insights., Collaborated in a structured, industry-oriented training program with a focus on AI/ML problem-solving and continuous learning.