About
I am a motivated data analytics enthusiast currently pursuing a B.Tech in Civil Engineering at the National Institute of Technology, Jamshedpur. My primary focus is on utilizing data to generate actionable insights and drive innovation in various applications. Throughout my academic journey, I have worked on several impactful projects, including developing a credit card approval prediction model using XGBoost, which showcased my ability to engineer features and optimize machine learning algorithms for improved accuracy. Additionally, I conducted an analysis of in-hospital mortality rates, utilizing SQL to derive valuable insights from complex datasets. I have also created interactive dashboards in Power BI, enhancing data visualization for global university statistics, which improved the decision-making process for stakeholders. These experiences have equipped me with a solid understanding of data manipulation, exploratory analysis, and the importance of effective communication through visualization. As the Joint Secretary of the E-Cell at NIT Jamshedpur, I have organized various events to promote entrepreneurship among students, demonstrating my leadership and organizational skills. I am proficient in programming languages such as Python and SQL, as well as libraries like Pandas and Numpy, which enable me to analyze and visualize data effectively. Eager to further my skills and contribute to innovative data-driven projects, I look forward to exploring opportunities in the field of data analytics and machine learning.
Tools I Work with
Technical Stack
Projects
AI in Biotechnology
An AI-based framework and data-driven methodology for post-PCR High-Resolution Melting Analysis (HRMA)
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Image to hashtags
An AI tool that generates trending hashtags for images based on their content, using pre-trained models for captioning and hashtag generation.
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Product Review Analysis
N-Gram Modelling for E-Commerce Product Reviews & Classification with Transformers pipeline
PyHRM
PyHRM is a Python library for processing DNA melting signals, extracting features like melting temperatures, peak points, and peak area. It offers visualization and filtering for accurate peak detection.
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Extractor
A lightweight simple GUI-based application that extracts '.rex' files from the Qiagen's Rotor-Gene Q Software to the necessary '.xls' file.
Meltcurve Interpreter
Interactive Web application for classifying PCR products through data upload and retrieval from SQL database, with features such as Visualization, Feature Extraction, and Report Generation.
Certificates
