Enthusiastic and dedicated Data Science student with 3 years of immersive internship experience in leveraging analytical methodologies and machine learning techniques to derive actionable insights. Proficient in Python, and data manipulation libraries, adept at exploring, cleaning, and visualizing complex datasets. Seeking to further apply and expand my knowledge in a dynamic internship role, contributing to innovative data-driven solutions while continuously honing skills in predictive modeling, statistical analysis, and data visualization.
Key Strengths:
• Data Analytics Proficiency: Proven ability to extract meaningful patterns and trends from raw data through statistical analysis and visualization techniques.
• Machine Learning Aptitude: Hands-on experience in building and evaluating machine learning models for predictive analysis and classification tasks.
• Technical Skills: Proficient in Python (NumPy, Pandas, Scikit-learn), SQL, and data visualization libraries (Matplotlib, Seaborn).
• Problem-solving Mindset: Adept at identifying and addressing complex problems, applying analytical thinking and creativity to deliver effective solutions.
As a Software Development Intern at Skill Banc, I actively contributed to the dynamic environment of software creation from supporting remotely, gaining hands-on experience and insights into the intricacies of tailored software solutions.
Key Contributions:
• Collaborative Development: Engaged in collaborative projects, collaborating closely with senior developers and cross-functional teams to assist in the creation of custom software solutions. Actively participated in team meetings and contributed innovative ideas to project discussions.
• Coding Support: Assisted in the development process by writing code snippets, debugging. Contributed to the implementation of specific features under the guidance of experienced developers, enhancing technical skills and proficiency.
• Quality Assurance: Supported the quality assurance phase by conducting comprehensive testing, identifying and documenting bugs, and providing feedback for improvements.
• Learning and Adaptation: Embraced a steep learning curve by rapidly acquiring new technical skills and methodologies, demonstrating a proactive attitude towards mastering programming languages, development frameworks, and best practices.
Achievements:
• Assisted in the successful delivery of projects, showcasing an ability to contribute effectively within project timelines and objectives.
• Received commendation for dedication and enthusiasm in tackling complex challenges, demonstrating a strong commitment to learning and professional growth within the software development field.
As a Student Intern in Recurring revenue and billing management platform for enterprises at Recvue with clients like Hertz, Airport Terminal Services(ATS), ACI
Worldwide, Crown Castle, I actively engaged in the application of cutting-edge testing methodologies and tools, gaining hands-on experience in ensuring the quality and reliability of software solutions.
Key Technical Contributions:
• Test Automation Exposure: Assisted in developing and executing automated test scripts using industry-standard tools such as Selenium. Contributed to enhancing test coverage and efficiency through automation frameworks.
• Functional and Regression Testing: Conducted rigorous functional and regression tests to validate software functionalities and detect potential issues across diverse platforms. Utilized tools like Jira to log, track, and manage identified defects.
• Performance Testing Involvement: Collaborated in performance testing efforts using tools like JMeter or LoadRunner to simulate user loads, identify performance bottlenecks, and optimize software responsiveness.
• API Testing Proficiency: Gained exposure to API testing methodologies using tools like SoapUl, verifying proper functioning and integration of APIs within Application.
• Agile Methodologies: Operated within an Agile framework, participating in sprint planning, daily stand-ups, and retrospective meetings. Contributed to user stories, acceptance criteria, and sprint deliverables.
Technologies and Tools Exposure:
• Test Automation: Selenium
• Bug Tracking: Jira
• Performance Testing: JMeter, LoadRunner
• API Testing: Postman, SoapUI
• Deep Learning Framework: Tensorflow
Achievements:
• Contributed to the successful automation, optimizing testing efforts and reducing manual workload.
• Identified and reported critical defects, positively impacting software reliability and end-user experience.
Email Spam Detection using Machine Learning
Railway Ticket Booking using Python
Breast Cancer Prediction using Deep Learning
Email Spam Detection using Machine Learning
Railway Ticket Booking using Python
Breast Cancer Prediction using Deep Learning