Currently pursuing a Master’s in Data Science and Artificial Intelligence from the University of Liverpool and complemented by a diverse educational portfolio, including a Data Science Diploma from Indian Institute of Technology Madras and a Bachelor's in Physics, my expertise spans across the full spectrum of data-centric roles. My experience as a Data Engineering Intern at DaaS and a Machine Learning Researcher at Spartificial has equipped me with a unique blend of skills in machine learning, complex data analysis, and robust data engineering practices. I have led and contributed to projects in various domains, including healthcare and astronomy, achieving milestones like publishing in IEEE Xplore.
My approach integrates the precision of a Data Analyst, the system-level thinking of a Data Engineer, the innovation of a Machine Learning Engineer, and the holistic insight of a Data Scientist. This versatility allows me to seamlessly navigate and connect different facets of data work, from developing full-stack ecosystems for advanced legal research to applying sophisticated Machine Learning techniques for astronomical classification. Driven by a passion for problem-solving and innovation, I am constantly seeking opportunities to explore and push the boundaries of AI and data science. My commitment extends beyond professional work into contributions in open-source projects and thought leadership in the field through my writings.
Writing
Music
Football
Powerlifting
Let me walk you through some of my work pieces!
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A Data Engineering Project built on Google Cloud Platform and Mage Data Tool to analyze data from Uber.
GCP BigQuery Mage DataTool ETL Tools ComputeEngine LookerStudio
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A predictive tool designed towards predicting the churn rate and enabling companies to retain their employees for longer periods using insights of the project.
GCP BigQuery PyCaret AutoML Python LookerStudio
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Live Demo
Grocify is a your community-focused e-commerce grocery store webapp aimed at serving the community in the best possible way .
HTML CSS BOOTSTRAP JS PYTHON SQLite
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This project aims to predict the sentiment of movie reviews using state of the art machine learning models.
scikit-learn Pyhon matplotlib regex Transformers
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Research project aimed at findint the optimal technique to use, Dimentionality reduction and then resampling or vice versa and then apply Machine Learning and Deep Learning models to classify pulsar stars for the HTRU dataset.
Dimentionality Reduction Resampling Techniques Neural Networks
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Live Demo
This is my portfolio site
JavaScript HTML CSS
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Delved deep into the intricacies of ad campaigns launched on Facebook aimed at understanding the dynamics of these campaigns and extract actionable insights to further business objectives.
Jupyter Notbooks matplotlib plotly numpy
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Performed Exploratory Data Analysis on data extracted from the Indian Premier League to find key insights from the data.
Jupyter Notbooks matplotlib plotly numpy
View Dashboard
A Dashboard made in Tableau showcasing the various Analytical stats of Netflix
Tableau Visualisation Presentation UI/UX
View Dashboard
A Dashboard made in Tableau showcasing the various Analytical stats of British Airways ranging from most travelled places to best performing service
Tableau Visualisation Presentation UI/UX
View Dashboard
A Dashboard made in Tableau showcasing the various Analytical stats of King County, Washinton House Sales
Tableau Visualisation Presentation UI/UX
View Dashboard
A Dashboard made in PowerBI showcasing the various Analytical stats of a hospital with key fields being number in-patients and out-patients.
PowerBI Visualisation Presentation UI/UXHere are some of the programming languages and technologies I'm learning and trying to become an expert at!
As a Data Engineering Intern at Developer As a Service (DaaS), I conducted data mining using OCRs and Regex models on unstructured pixelated image legal documents and then engineered the data for further modeling, collaborating with my team to create a full end-to-end ecosystem for advanced legal research services, and employed strong communication and leadership skills, leading to an 80% increase in legal document processing efficiency within the firm.
During my time with Spartificial, I underwent training in RNN, Neural Networks, TensorFlow, OpenCV, Image Segmentation, etc., and conducted research on comparing the approaches of using Resampling Techniques before using Dimensionality Reduction techniques for an imbalanced Pulsar Star dataset followed by an alternate approach of using Dimensionality Reduction before Resampling the dataset and then proceed to use Machine Learning and Neural Networks to classify Pulsar Stars from observational data.
This Internship introduced me to the basics of Data Science and allowed me to build projects on a variety of datasets.
I worked on analyzing the forest cover of India and the land usage pattern of the last decade using Python, aiding in policy adjustments.
University of Liverpool, United Kingdom
CGPA: On course for a 2:1 degree
Relevant Modules: Applied Artificial Intelligence, Data Mining and Visualisation, Machine Learning and Bioinspired Optimisation, Computational Intelligence
Societies: Data Science Society, Strength & Conditioning Club
Indian Institute of Technology Madras, India
CGPA: 7.75/10
Relevant Modules: Machine Learning Foundations, Machine Learning Techniques, Machine Learning Practice, App Development 1,App Development 2, Tools for Data Science, Business Data Management, Business Analytics, Computational Thinking, Programming in Python, Statistics for AI, Mathematics for AI
Societies: Jamsetji TATA Society for Innovation and Entrepreneurship(JITSIE),WYZ- The IITM Quiz Club
Tezpur University, India
CGPA: 8.06/10
Relevant Modules: Quantum Mechanics, Thermodynamics, Mathematical Physics
Dissertation: Modelling Radiative Transfer for the Coalsack Region
Delhi Public School Digboi, India
Percentage: 95.67%
Here are a few pieces of work that I have published during my academic journey!
Health is one of the important aspects of human life, and without proper health, the functioning of the human body is very tough. Diseases are one of the biggest problems that humans need to fight. This publication aims to help people detect diseases at an early stage using a web app.
Published at: IEEE Xplore
Date: 18 July 2022
Conference: 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
Read PublicationHave a look at some of my Certifications in the section below!
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If you've got a project in mind, why not get in touch! Let's work together. You can send me message by filling this form.