Artificial Intelligence and data Analyst
Delhi,India | kumariroshani240@gmail.com | +91-9667058802 | LinkedIn | GitHub
Highly motivated and results-oriented Computer Science graduate with a passion for Artificial Intelligence and Data Visualization. Proven ability to leverage machine learning models, create insightful data visualizations, and build user-friendly web applications. Seeking a challenging role to apply technical skills and gain experience in the AI/ML industry.
Tech-savvy with a passion for turning data into insights! Equipped with a strong foundation in computer science. Adept at leveraging machine learning and data analysis to unlock hidden patterns and craft compelling visualizations.
Computer Science & Engineering
Achieved a high GPA of 8.5 in OOPs, DBMS, Compiler Design, Artificial Intelligence, SQL demonstrating a strong aptitude for applying AI concepts. Completed a capstone project in Scikit-Learn, Pandas, Numpy, Visualization, NLP successfully building a machine learning model and data visualization.
Computer Engineering
Achieved a high GPA of 8.5 in the Diploma in Computer Science program, demonstrating a strong foundation in core CS concepts.
10 th Class
Data enthusiast with a passion for extracting insights.
Showcased my ability to translate data into actionable insights. Developed data-driven solutions for mental fitness tracking, sales performance analysis, and content recommendations.
Developed an AI-powered microlearning platform using FastAPI (Python) and Node.js with a React frontend, leveraging Hugging Face Transformers for NLP functionalities to personalize learning experiences.
Key Technologies/Skills Used: Python, NLP, Transformers, huggingface, Pandas, powerBi, FastAPI.
Utilized Power BI's interactive dashboards to present sales data, enabling stakeholders to drill down into regional performance and identify opportunities for growth.
Key Technologies/Skills Used: Power BI, Data Analysis
Analyzed Netflix user viewing data with Power BI, uncovering a significant rise in documentary viewership on weekdays. Recommended the creation of original documentaries catering to this audience segment, potentially boosting subscriber engagement.
Key Technologies/Skills Used: Power BI, Data Analysis
Developed a machine learning system to monitor and improve mental fitness. Utilizes Linear Regression and Random Forest models (Scikit-learn) for accurate predictions. Beneficial for users experiencing stress, anxiety, or other mental health concerns.
Key Technologies/Skills Used: Python, Scikit-learn, Pandas, Seaborn, Matplotlib.
Leveraged cutting-edge AI tools and frameworks to gain practical experience in the field of Artificial Intelligence. Enhanced AI skills and knowledge through mentorship from industry experts at IBM.
Key Technologies/Skills Used: Applied knowledge of AI concepts, ability to learn and adapt to new technologies.
Acquired practical knowledge and skills in Data Analysis, Cyber Security, and Forensic Technology through Deloitte's virtual program.
Key Technologies/Skills Used: Broadened knowledge base in data analysis, cybersecurity, and forensic technology.
Collaborated effectively with a development team to create and maintain user-friendly and responsive websites. Demonstrated strong problem-solving skills by overcoming technical challenges and contributing to successful completion of web projects.
Key Technologies/Skills Used:Web development (languages/frameworks used, e.g., HTML, CSS, JavaScript), problem-solving, teamwork.
A recognized leader in student communities: Microsoft Learn Ambassador
& Internshala Student Partner.
Honed coding skills by solving
over 250+ Data Structures and Algorithms problems.
July 2023 - Present
April 2023 - Present
In Progress
This ongoing research explores the integration of Natural
Language Processing (NLP) technologies to enhance microlearning
experiences. We propose a microlearning recommendation system
that utilizes NLP techniques for text analysis of learning
materials.
Keywords:
Microlearning, NLP, Recommendation Systems, Personalized
Learning
12 December 2023
This research paper investigates the impact of social features
on user engagement in online video streaming platforms. The
study analyzes how these features influence user engagement
metrics, user-generated content creation, and virtual community
formation within VidiScape.
Keywords: Social Integration, Online Community, User
Engagement, Video Streaming