Jun 2024 – May 2025 · 11 mos · Noida, Uttar Pradesh, India · On-site

• Conducting advanced data analysis to support IT-electronics projects with actionable insights
• Developing machine learning models to predict outcomes and enhance system efficiencies
• Collaborating with cross-functional teams to integrate AI-driven solutions into existing workflows
• Streamlining data preprocessing and visualization for improved decision-making
• Contributing to the design of innovative tools for electronic system optimization
• Assisting in technical documentation and reporting for stakeholder communication

Feb 2024 – Apr 2024 · 2 mos · Remote

• Attend and actively participate in all mandatory master sessions with EY & EF experts
• Participate in mentorship sessions with EF experts and follow their guidance on project-related tasks
• Complete weekly milestones to track progress and ensure the timely completion of tasks
• Work on project-related tasks independently, focusing on real-world challenges in data analytics
• Engage in self-paced learning to enhance my knowledge and skills in data analytics
• Create prototypes and present them to a panel of industry experts at a regional showcase event
• Collaborate with peers and mentors to incorporate changes and improvements in the project
• Prepare and submit a final project presentation before EY industry experts

Sep 2023 – Mar 2024 · 6 mos · Calicut, Kerela · On-site

• Attended and actively participated in all mandatory training sessions with industry experts
• Participated in mentorship sessions and followed guidance on project-related tasks
• Completed weekly milestones to track progress and ensure the timely completion of tasks
• Worked on project-related tasks independently, focusing on real-world challenges in data science
• Engaged in self-paced learning to enhance my knowledge and skills in data science and Python
• Created prototypes and presented them to a panel of industry experts at a regional showcase event
• Collaborated with peers and mentors to incorporate changes and improvements in the project
• Prepared and submitted a final project presentation before industry experts
• Additional Contributions:
• Applied machine learning to develop predictive models for Cardiovascular Risk Prediction and Credit Card Fraud Detection, extracting insights from large datasets
• Designed and developed predictive models, leveraging machine learning algorithms to drive accurate forecasting and informed decision-making
• Assisted in both technical and non-technical activities at NIELIT

Jul 2023 – Jan 2024 · 6 mos · Remote

• Organized and executed various entrepreneurship-focused events, workshops, and competitions, engaging and inspiring fellow students to unlock their entrepreneurial potential
• Collaborated closely with a diverse and dynamic team of like-minded individuals, brainstorming innovative ideas and implementing strategies to promote and support entrepreneurial ventures
• Developed and nurtured relationships with industry experts, successful entrepreneurs, and mentors to provide valuable guidance and resources to aspiring student entrepreneurs
• Engaged with startups and local businesses, facilitating partnerships and mentorship programs, fostering a strong network of support for budding entrepreneurs
• Actively participated in brainstorming sessions to develop and implement new initiatives aimed at fostering innovation and entrepreneurial thinking among students
• Assisted in the management and promotion of E-Cell's online presence, including social media platforms and the official website, to enhance visibility and outreach efforts

Dec 2022 – Feb 2023 · 2 mos · Remote

• Attended and actively participated in all mandatory training sessions with industry experts
• Participated in mentorship sessions and followed guidance on project-related tasks
• Completed weekly milestones to track progress and ensure the timely completion of tasks
• Worked on project-related tasks independently, focusing on real-world challenges in artificial intelligence
• Engaged in self-paced learning to enhance my knowledge and skills in artificial intelligence
• Created prototypes and presented them to a panel of industry experts at a regional showcase event
• Collaborated with peers and mentors to incorporate changes and improvements in the project
• Prepared and submitted a final project presentation before industry experts
• Additional Contributions:
• Collaborated with data scientists and engineers on ML and NLP models
• Responsible for data preprocessing, model training, and evaluation
• Conducted research to stay up-to-date with AI advancements

May 2022 – Jul 2022 · 2 mos · Remote

• Attended and actively participated in all mandatory training sessions with industry experts
• Participated in mentorship sessions and followed guidance on project-related tasks
• Completed weekly milestones to track progress and ensure the timely completion of tasks
• Worked on project-related tasks independently, focusing on real-world challenges in data science
• Engaged in self-paced learning to enhance my knowledge and skills in data science
• Created prototypes and presented them to a panel of industry experts at a regional showcase event
• Collaborated with peers and mentors to incorporate changes and improvements in the project
• Prepared and submitted a final project presentation before industry experts
• Additional Contributions:
• Conducted data analysis and modeling, processing and analyzing large data sets using various tools and techniques
• Explored and applied machine learning algorithms to build predictive models
• Collaborated with team members, actively contributing to meetings and project success

Feb 2022 – Jul 2022 · 5 mos · Remote

• Attended and actively participated in all mandatory training sessions with industry experts
• Participated in mentorship sessions and followed guidance on project-related tasks
• Completed weekly milestones to track progress and ensure the timely completion of tasks
• Worked on project-related tasks independently, focusing on real-world challenges in software testing
• Engaged in self-paced learning to enhance my knowledge and skills in software testing
• Created prototypes and presented them to a panel of industry experts at a regional showcase event
• Collaborated with peers and mentors to incorporate changes and improvements in the project
• Prepared and submitted a final project presentation before industry experts
• Modules Tested:
• School Admin
• HR Admin
• Manager
• Campus TV
• Campus Broadcast
• Additional Contributions:
• Executed test cases and reported bugs, ensuring smooth progress in the development cycle
• Contributed to test planning and strategy discussions, optimizing the testing process
• Conducted regression and system testing, detecting and reporting critical defects to ensure software stability, reliability, and overall system performance