About
A highly driven and versatile Bachelor of Engineering student specializing in AI/ML, with hands-on experience in full-stack development, data analysis, and project management. Proven ability to leverage machine learning, deep learning, and data visualization techniques to solve complex problems, optimize processes, and deliver actionable insights. Adept at leading cross-functional teams, developing strategic roadmaps, and building robust, user-focused applications. Seeking to apply technical expertise and leadership skills in innovative and impactful roles.
Work
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Summary
Contributed to data quality and predictive analytics initiatives for student engagement.
Highlights
Optimized data quality by cleaning and engineering signup data, identifying and resolving critical gaps to enable robust analysis.
Leveraged machine learning techniques to develop predictive models for student churn and engagement trends, providing actionable insights.
Delivered data-driven recommendations by visualizing complex insights using Python libraries, supporting strategic decision-making.
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Summary
Analyzed social media data and created visualizations to support financial and marketing strategies.
Highlights
Identified significant cost-saving opportunities and enhanced marketing ROI through in-depth analysis of social media campaign data.
Designed and optimized impactful data visualizations, translating complex data into clear, actionable insights for stakeholders.
Contributed to financial strategy by collaborating on presentations that delivered actionable, data-driven recommendations.
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Summary
Managed project planning and coordination for a global hackathon.
Highlights
Orchestrated the development of a strategic roadmap for a global hackathon, encompassing comprehensive budgeting, timeline management, and resource allocation.
Streamlined team coordination and workflow efficiency by implementing and managing Jira and Kanban boards.
Authored and presented a detailed project proposal, conducting thorough risk analysis and proposing optimizations to ensure event feasibility.
Languages
English
Fluent
Hindi
Native
Skills
Programming Languages & Libraries
Python, C/C++, Java, SQL, pandas, NumPy, Matplotlib, Scikit-Learn, YOLO, nltk.
Frameworks
Flask, Streamlit, OpenCV, Tensorflow, Keras, PyTorch.
Tools & Platforms
Git, GitHub, Docker, Tableau, Google Cloud Platform, VS Code, Anaconda Navigator, PyCharm, IntelliJ, Microsoft Azure, Google Colab, Excel, IBM SPSS, WEKA.