Aryan Srivastava
4th Year BTech Computer Science Engineering Student
Detail-oriented team player with strong organizational skills and the ability to handle multiple projects simultaneously with a high degree of accuracy. Seeking a full-time position that offers professional challenges and utilizes interpersonal skills, excellent time management, and problem-solving abilities.
Detail-focused Data Analyst with expertise in data warehousing, process validation, and business needs analysis. Proven ability to understand customer requirements and translate them into actionable project plans. Dedicated and hard-working with a passion for Big Data.
Motivated and passionate job seeker with strong organizational skills, eager to secure an entry-level Data Analyst or Decision Analysis Associate position. Ready to contribute to team success and help achieve company goals.
Languages: C/C, Python, HTML, CSS, JavaScript, Swift
undefinedPython Online Internship Experience - YBI Foundation.
1. Developed Proficiency in Python Programming: Completed an intensive online internship, gaining hands-on experience in Python programming, including data structures, algorithms, and libraries such as NumPy and Pandas.
2. Executed Real-World Projects: Applied Python skills to execute real-world projects, including data analysis, web scraping, and automation tasks, demonstrating the practical application of theoretical knowledge.
3. Collaborated in a Virtual Team Environment: Worked collaboratively in a virtual team setting, enhancing teamwork and communication skills while contributing to project development and problem-solving initiatives.
1) Resume Selection Using ML.
1. Developed an ML-based Resume Screening Tool: Designed and implemented a machine learning model to automate the resume selection process, improving efficiency and accuracy in candidate shortlisting.
2. Enhanced Candidate Matching with NLP: Utilized natural language processing (NLP) techniques to analyze and match candidate resumes against job descriptions, increasing the relevance of shortlisted candidates by 30%.
3. Integrated Data Preprocessing and Feature Engineering: Conducted comprehensive data preprocessing and feature engineering to optimize model performance, achieving an 85% accuracy rate in identifying top candidates.
2) Weather App
1. Designed User-Friendly Weather Application: Created a responsive and visually appealing weather app using HTML and CSS, providing users with real-time weather updates and forecasts.
2. Implemented Dynamic UI Components: Developed dynamic UI components to display weather data such as temperature, humidity, and weather conditions, enhancing user interaction and experience.
3. Optimized for Cross-Device Compatibility: Ensured cross-device compatibility by applying best practices in responsive web design, resulting in a seamless experience on desktops, tablets, and mobile devices.
3) Email Spam Detection
1. Developed an Efficient Spam Detection System: Designed and implemented a robust email spam detection system using machine learning algorithms, achieving a high accuracy rate in identifying and filtering spam emails.
2. Utilized NLP for Text Classification: Applied natural language processing (NLP) techniques for text classification to distinguish between spam and legitimate emails, enhancing the precision of the detection model.
3. Conducted Extensive Model Training and Evaluation: Performed extensive model training and evaluation on a diverse dataset, optimizing performance metrics such as precision, recall, and F1-score to ensure reliable spam detection.
1) Microsoft Azure, Jun 2024, Microsoft, SRM University
1. Acquired Proficiency in Azure Services: Completed comprehensive training on Microsoft Azure, gaining proficiency in core services such as virtual machines, Azure storage, Azure SQL Database, and Azure Active Directory.
2. Implemented Cloud Solutions: Learned to design, deploy, and manage cloud solutions on the Azure platform, including setting up virtual networks, configuring load balancers, and ensuring data security through encryption and identity management.
3. Mastered Azure DevOps and Automation: Developed skills in Azure DevOps for continuous integration and continuous deployment (CI/CD) pipelines, and automated workflows using Azure Resource Manager (ARM) templates and Azure Functions to streamline cloud operations.
2) PowerBI, Jun 2024, Skill Nation, Online.
1. Gained Proficiency in Data Visualization: Completed Power BI training, mastering the creation of interactive and insightful data visualizations to help drive data-driven decision-making.
2. Developed Expertise in Power BI Tools: Learned to use Power BI Desktop, Power BI Service, and Power BI Mobile, including advanced features such as DAX (Data Analysis Expressions) and Power Query for efficient data transformation and modeling.
3. Executed Real-World Data Projects: Applied Power BI skills to execute real-world data projects, including data integration from various sources, building dashboards, and generating detailed reports to uncover business insights.