As a developer committed to the cause, I specialize in creating applications aimed at improving people's lives.
I work towards identifying a real-world problem, such as the one I just showed you,
and developing innovative solutions that are not only user-friendly but have impact. Whether it's a mobile app to streamline daily tasks,
a web application to enhance productivity, or a specialized tool to address specific needs,
my goal is to leverage technology to make a positive difference. Through my projects,
I try to empower people and communities by giving them the tools they need to thrive and excel in today's digital world.
I participated in a 10-week virtual internship with AICTE, focusing on cloud technology provided by AWS Academy. During this program,
I gained hands-on experience with AWS services and cloud computing concepts.
This internship enhanced my skills and prepared me for real-world applications in cloud technology.
I completed a course on Supervised Machine Learning: Regression and Classification, offered by DeepLearning.AI and
Stanford Online through Coursera. This course provided in-depth knowledge of key machine learning algorithms and their applications.
I learned how to implement and
evaluate models using real-world datasets.
This experience has significantly enhanced my skills and prepared me for advanced machine learning challenges.
I completed a 12-week course on Programming in Java, provided by NPTEL Online Certification.
This course covered fundamental and advanced Java programming concepts, including OODP, DSA.
Through hands-on assignments and projects, I gained practical experience in writing efficient and robust Java code.
This certification has strengthened my programming skills and prepared me for complex software development tasks.
I completed the AWS Academy Graduate program, which included courses covering various aspects of cloud computing.
The program consisted of foundational courses along with specialized tracks in Cloud Architecture, Machine Learning, Data Engineering, and Cloud Development.
Through rigorous training and hands-on projects, I gained expertise in designing, implementing, and managing cloud-based solutions.
This comprehensive program has equipped me with the skills and knowledge necessary to excel in cloud technology roles.
I actively participated in the Layer hackathon organized by the Blockchain Club SRM at SRM University.
Our team's innovative solution impressed the judges, securing our qualification for the second round of the competition.
Leveraging our expertise in blockchain technology, we developed a unique project that addressed real-world challenges.
This experience not only showcased our skills but also provided valuable networking opportunities within the blockchain community.
I successfully completed the Career Essentials in Data Analysis course offered by Microsoft and LinkedIn.
I gained valuable insights into the essential skills and techniques required for a career in data analysis.
The course covered topics such as data visualization, statistical analysis, and data-driven decision-making.
I am now well-prepared to pursue opportunities in the field of data analysis with confidence.
"I completed a one-month virtual summer internship on 'Machine Learning and Deep Learning using
Python Programming' at AlQuantum Smart Solutions Private Limited, STEP-NITK, Surathkal, Karnataka, India
from June 7, 2024, to July 7, 2024. During this internship, I demonstrated my skills and self-motivation to
learn new techniques in the areas of Image Processing, Machine Learning, and Deep Learning Algorithms with
various applications."
Completed a simulation focused on advising a hypothetical social media client
as a Data Analyst at Accenture
Cleaned, modelled and analyzed 7 datasets to uncover insights into content
trends to inform strategic decisions
Prepared a PowerPoint deck and video presentation to communicate key insights
for the client and internal stakeholders"
Completed a job simulation focused on AI for Cognizant's Data Science team.
Conducted exploratory data analysis using Python and Google Colab for one of
Cognizant's technology-led clients, Gala Groceries.
Prepare a Python module that contains code to train a model and output the
performance metrics for the Machine Learning engineering team.
Communicated findings and analysis in the form of a PowerPoint slide to
present the results back to the business.
