I am currently pursuing a Master’s in Computer Science (Negotiated Learning) at University College Dublin, Ireland, with a strong focus on Data, AI, and Machine Learning. My academic coursework and hands-on projects have deepened my expertise in these areas, aligning with my passion for leveraging data-driven technologies to solve complex problems.
With over 2.5 years of professional experience at one of the world’s leading companies, I have successfully contributed to multiple projects involving Optical Character Recognition (OCR), Robotic Process Automation (RPA), and Power Platform. These experiences have sharpened my technical skills and honed my ability to deliver innovative solutions in dynamic and fast-paced environments.
View ResumeClassified the Galaxy Morphologies based on Hubble Scheme by adopting rule based approach and used supervised Machine Learning to identify candidates for potential exoplanets using Kepler data.
A novel machine learning approach for extracting socioeconomic data from high-resolution day light and night light satellite imagery to predict poverty.
The aim of this project is predicting future values for multiple time series problems. Each time series contains daily traffic on the Wikipedia page for a total of 803 days from 2015-07-01 to 2017-09-10. We have a total of 145k time series which means we have data for 145k pages, our goal is to analyse this data, build a model on it and predict future traffic on each of the pages.
Led the development of the Compliance Tracker, automating governance tasks using Power Automate, which improved efficiency by 80% and reduced manual efforts by the equivalent of 4 full-time employees. Contributed to the development of Sandman, an integrated Start/Stop flow with MS Azure, resulting in annual savings exceeding $200,000 for the COE team
Developed an Email automation application to send bulk emails along with a PDF as an attachment containing the receivers name modified in it. The script is developed using the smtp library in python.
This course, by one of the most popular American Computer Scientist is easily the most complex course I have ever completed. It included topics such as Shallow and Deep Neural Networks Logistic Regression and Vectorization.
View Credentials
This course is the major reason that got me interested in the field of Machine Learning. The basic Algorithms in machine learning such as Regression, Classification, Clustering. It also introduced me to the basics of NLP and Deep Learning. The hands on session in this course in the best part of it. The materials provided for this course are also a highlight.
View Credentials
The lessons in this program were created with the help of some of the best developers from UiPath. Throughout this learning path, it aim to offer a well-structured plan, best practices, examples that draw from their experience and lots of hands-on exercises.
View Credentials