E-Commerce Website (Full Stack Development)
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Summary
Designed and developed a full-stack e-commerce website, managing end-to-end project lifecycle from conception to deployment.
About
Highly motivated Data Analyst with a robust foundation in Python, SQL, Power BI, and Excel, passionate about transforming complex data into actionable insights that drive strategic business decisions. Possessing practical experience in data visualization, web scraping, and problem-solving, I am adept at cleaning, processing, and analyzing large datasets. Eager to leverage analytical expertise to tackle real-world challenges and contribute to data-driven growth in a dynamic professional environment.
Work
Cinntra Infotech Solutions Pvt Ltd
|Data Analyst
Noida, Uttar Pradesh, India
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Summary
Currently contributing to IT solutions and insights by performing data analysis, reporting, and business intelligence for strategic decision-making.
Highlights
Assisted in comprehensive data analysis and reporting, leveraging Python and SQL to generate actionable business insights for clients.
Utilized Excel and SQL for efficient data cleaning, transformation, and processing of large datasets, ensuring data integrity for analytical projects.
Developed and maintained interactive dashboards using Power BI, enabling stakeholders to monitor key performance indicators and support data-driven decisions.
Contributed to strategic initiatives by providing critical analytical support, fostering business growth through informed insights.
IIPC, KIET Group of Institutions
|Machine Learning Intern
Ghaziabad, Uttar Pradesh, India
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Summary
Gained practical experience in advanced Machine Learning techniques and tools within an institute focused on professional development.
Highlights
Applied advanced Machine Learning techniques and tools to develop predictive models, enhancing problem-solving capabilities in real-world scenarios.
Explored and implemented various ML algorithms, including supervised and unsupervised learning, to address complex data challenges.
Collaborated on projects to integrate ML solutions, contributing to practical applications of theoretical knowledge.
KIET Group of Institutions
|Machine Learning Intern
Ghaziabad, Uttar Pradesh, India
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Summary
Acquired foundational Machine Learning knowledge and practical model implementation skills at a prominent educational institution.
Highlights
Mastered fundamental Machine Learning concepts, including data preprocessing, feature engineering, and algorithm selection.
Developed and deployed basic ML models using Python libraries, demonstrating foundational understanding of model building and evaluation.
Participated in hands-on exercises to solidify understanding of ML workflow and practical application.
Education
KIET Group of Institutions (AKTU University)
Ghaziabad, Uttar Pradesh, India
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B.Tech
Computer Science and Information Technology
Don Bosco Senior Secondary School (CBSE)
Gorakhpur, Uttar Pradesh, India
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Intermediate
PCM (Physics, Chemistry, Mathematics)
RELIANCE Academy (CBSE)
Gorakhpur, Uttar Pradesh, India
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Matriculation
Certificates
Python Basics for Data Science
Issued By
Various Online Platforms
Data Structures and Algorithms
Issued By
Various Online Platforms
Python Tutorial
Issued By
Various Online Platforms
Skills
Programming Languages
Python, SQL.
Data Analysis & Visualization
Data Science, Data Visualization, Excel, Power BI, Pandas, Numpy, Matplotlib, CSV.
Machine Learning
Machine Learning, Algorithms, Data Structures.
Web Development & Scraping
HTML, CSS, ReactJS, Wireframing, Web Scraping, Beautifulsoup.
Databases
MySQL.
Tools & Platforms
GitHub.
Interests
KIET Movie Club Member
Event Planning, Event Management, Movie-related Events.
Guinness World Record Event Participant
AI, World Record Events, Participation.
Projects
Web Scraping a Blog Website
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Summary
Executed a targeted web scraping project to extract critical data from a company's blog, facilitating content analysis and strategic insights.
Movie Recommender System
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Summary
Developed a comprehensive Movie Recommender System designed to provide personalized movie suggestions, enhancing user engagement and satisfaction.