Subrahmanya Hegde
Development
Karnataka, India
Skills
Data Analysis
About
Subrahmanya Hegde's skills align with System Developers and Analysts (Information and Communication Technology). Subrahmanya also has skills associated with Programmers (Information and Communication Technology). Subrahmanya Hegde appears to be an entry-level candidate, with 15 months of experience.
Work Experience
RVCE
March 2023 - March 2023
- Exploratory Data analysis of Election Data Gathered historical election data, including candidate information, demographics, polling data, and socioeconomic indicators Performed exploratory data analysis (EDA) to gain insights into the dataset and identify potential correlations Achievements
influencer
Pojects
January 2023 - Present
- 2023-2024 AI-Based Social Media Analysis Project Developed an advanced social media analysis tool leveraging NLP and sentiment analysis for Twitter and Instagram. The project focuses on sentiment analysis, content performance, user engagement patterns, influencer identification, hashtag trends, and optional chatbot integration. Utilized the Python module "ntscraper" for data collection from Twitter Nitter and implemented functions for sentiment and content analysis, user engagement patterns, and influencer identification. The code prioritizes data visualization for insightful presentations and emphasizes iterative analysis for continuous adaptation to evolving trends and user behaviors. Tools and Libraries Python It provides a versatile and easy-to-read syntax easy for data collection, analysis, and scripting. NLP Libraries NLTK, spaCy Natural Language Processing (NLP) libraries are essential for performing sentiment analysis and processing textual data. Machine Learning Models Machine Learning models are likely used for tasks such as sentiment analysis and influencer identification. Twitter API The Twitter API allows access to Twitter's data, including tweets, user profiles, and engagement metrics. Instagram API Similar to the Twitter API, the Instagram API provides access to Instagram's data, including posts, comments, and user information. Matplotlib, Seaborn, Plotly (for data visualization) These libraries are used for creating visualizations of the analyzed data. Third-Party Libraries and APIs NLTK (Natural Language Toolkit) NLTK is an NLP library that provides tools for processing human language data. spaCyspaCy is another NLP library that focuses on providing efficient and fast natural language processing. Twitter API The Twitter API is also listed here as a third-party API. While it's a primary API for data collection, mentioning it in both sections emphasizes its significance in the project. Instagram API Similar to the Twitter API, the Instagram API is listed as a third-party API. It plays a crucial role in gathering data from the Instagram platform. Medical Image Segmentation and Volume Calculation The "Medical Image Segmentation and Volume Calculation" project aims to develop a script that performs medical image segmentation on CT scans and calculates the volume of specific organs or structures. The script utilizes MONAI Medical Open Network for AI and PyTorch to implement a deep learning model for image segmentation. The primary focus is on segmenting organs, such as the bladder, from CT scans and computing their volumes Developed a data loading pipeline to read CT scan images. Implemented preprocessing steps, including orientation correction and intensity normalization. Created Segmentation Model Utilize a pre-trained deep learning model for semantic segmentation, particularly focusing on organ segmentation. Volume Calculation Compute the volume of segmented structures, such as the bladder, using voxel information. Visualization Create visualizations of the original CT scan, segmented structures, and any relevant metrics. Documentation Provide comprehensive documentation, including code comments and a project report. Tools and Libraries PyTorch for Deep learning framework for model development. MONAI for Medical imaging library for training and evaluating deep learning models. Python for Programming language for script development. Matplotlib for Visualization library for displaying CT scans and segmentation results.
Research Paper Submitted
April 2023 - August 2023
- on the Design optimizations for cross Platform cloud Services.
Intern
Koch Business Solutions India
March 2023 - September 2023
- AWS Service Data Extraction Automation (Boto3 Python) Orchestrated the automation of data extraction from AWS S3, EC2, RDS, and EBS volumes using Python's Boto3 library Developed a suite of Python scripts to connect to AWS services, retrieve relevant data, and process it efficiently Implemented error handling mechanisms and logging to ensure robustness and reliability of data extraction processes Utilized AWS SDK's Boto3 library to interact with APIs, ensuring seamless communication and data retrieval Enhanced operational efficiency by scheduling automated data extraction tasks, minimizing manual intervention hands-on experience in provisioning and managing AWS infrastructure using Terraform, including the creation of EC2 instances and infrastructure as code (IAC) practices, contributing to streamlined and automated AWS DevOps workflows setting up, configuring, and optimizing CI/CD pipelines for automated software delivery
Education
RV College of Engineering
Master of Computer Applications
January 2022 - August 2023
