Hi!
I love playing around with data π and extracting insights to drive better decisions π and improve operations. With a strong background in data analysis and data engineering, I'm your go-to person for uncovering trends, patterns, and opportunities within large and complex datasets π§π‘.
I'm currently working in the Data Analytics and Engineering team at Frontier Science as a Data Engineer.
Skilled Engineer with experience in cloud technologies, pipeline building and building CI/CD pipelines. Seeking a role in the software field to leverage my expertise in coding and analytics to develop innovative solutions and contribute to the success of an organization.
Oct 2023 - Oct 2025
Frontier Science And Technology | Mar 2023 - Present
AINQA Group | Aug 2020 - Jul 2021
Built a user-friendly website that uses an NLP-based BERT transformer model to summarize news articles. We developed the site with the Streamlit package and hosted it on an AWS EC2 Instance. The entire project is packaged in Docker for easy deployment, and our deployment process is automated using GitHub Actions in a CI/CD pipeline.
Developed an end-to-end ML model that implements speech-to-text on audio files and returns transcribed text along with timestamps of each word. Applications involve podcasts and audio book editing. Model made using wav2vec2 and endpoint with Flask. Packaged using Docker and maintained using Github Actions.
Data Science Job Analysis Dashboard - Applied NLP-based transformation on data science job data scrapped from Glassdoor. Developed using Python (Selenium), TFID Vector Transformation. Visualization and Analysis done using Tableau.
Performed a comprehensive Explanatory Data Analysis of news articles published during the 2020 Presidential Election, utilizing Python packages including Selenium and BeautifulSoup. Employed advanced Natural Language Processing (NLP) techniques to extract valuable insights and conducted a sentiment analysis, shedding light on the nuanced aspects of the news coverage.