Hi, I'm Chandana Srinivasa Yatisha
A
About
Driven by a passion for unraveling complex problem through technology, my academic and professional journey so far has been enriched with experiences in Machine Learning, Data Engineering and Analytics. This website is a window into my world, showcasing work experience and projects in my continuous learning path. In the projects section, you'll find a curated collection of my work, each project a testament to my dedication and the diverse skills I've developed along the way. As I look towards the future, I am keenly seeking opportunities where I can apply my knowledge in software engineering, data engineering, or analytics to real-world challenges. If you're on the lookout for someone who is not just passionate but also equipped with the skills to make a difference in the fields of software and data engineering, let's connect. If you see a potential for collaboration, or have an opportunity that aligns with my aspirations, I'd love to hear from you.
- Languages: Python, C, HTML/CSS, MATLAB
- Databases: MySQL, PostgreSQL, MongoDB
- Libraries: NumPy, Pandas, MatplotLib, OpenCV
- Frameworks: Flask, Streamlit, Keras, TensorFlow, PyTorch
- Tools & Technologies: Tableau, Git, Docker, GCP
Actively seeking a position that combines my expertise in data engineering and analytics with my software engineering skills. I aspire to join a dynamic team where I can tackle challenging projects, fostering professional development, intriguing experiences, and personal growth
Experience
- Designed and implemented data extraction pipelines to scrape and clean 7 GB of raw data from social media platforms including Reddit and SimpliScripts, utilizing Python, APIs, and Selenium.
- Conducted EDA, cleaning, and transformation of data, enabling enhanced analysis and operational readiness.
- Currently engaged in performing statistical analysis and applying NLP techniques to assess textual data, aiming to deepen insights into sentiments and feedback related to gender norms in prestigious positions. This work contributes to targeted strategies for improving perceptions of gender, fostering a more inclusive understanding of gender roles in leadership.
- Streamlined and enhanced the efficiency of various Database Storage Systems, including REDcap, by implementing data organization strategies and optimizing query performance by 10.2%.
- Tools: Python, Selenium
Research Assistant - NLP and Data Science
- Mentored a cohort of 99 students in 'Machine Learning for Cybersecurity,' clarifying complex topics such as Adversarial Attacks and Security of Large Language Models (LLMs) during dedicated office hours for personalized support.
- Partnered with faculty to create and evaluate assignments, examinations, and projects mirroring actual cybersecurity scenarios, effectively bridging the gap between academic concepts and industry applications for enhanced student proficiency. Tools: Python, Github, Git, Keras, Tensorflow, PyTorch
Course Assistant - EL-GY 9163: Machine Learning for Cybersecurity
- Provided hands-on guidance to students in employing TensorFlow and PyTorch for building machine learning models, significantly improving their competence in neural network development and training during the GSTEM course at NYU Courant.
- Automated manual data preprocessing tasks using Python scripts, streamlining workflows for student projects and enabling more efficient analysis of complex datasets in STEM applications.
- Tools: Python, PyTorch, Tensorflow
GSTEM Course Assistant
- Drove performance optimization by automating training completion tracking and trend analysis using Python and Excel, leading to targeted improvements in essential training processes.
- Enhanced defect tracking efficiency by 15% through the introduction of automated testing and repository maintenance, coupled with a collaborative effort to migrate version control systems to AWS Cloud from Github, ensuring a smooth transition with SDLC practices.
- Tools: Python, Excel, AWS, Git
Application Development Associate
- Compiled an extensive dataset of 5000 radar satellite images (2015-2020) using JavaScript and Google Earth Engine.
- Developed the first iteration of semi-supervised PCA-Kmeans Change Detection algorithm for detecting oil spills in oceanic satellite imagery, utilizing Python to process radar data.
- Tools: Python, JavaScript, Google Earth Engine
ML Intern
Projects
Climate Change Analytics Application
- Tools: Python, HTML, CSS, MongoDB, GCP
- Interactive Visualizations: See the trends, feel the sentiments.
- Statistical Data: Get the hard numbers on climate opinion.
- Sentiment Analysis: Understand the sentiments of the nation towards climate change.
- Trending News: Stay sharp with climate change headlines.
Dive into the heart of public opinion on climate change across different US government eras. With Climate Pulse, data comes alive through:
Modified ResNet-18 for Image Classification
- Trained 4 Models with different combinations of batch size, activation function and dropout rate
- Results showed that increasing batch size and using Leaky ReLU activation function can improve network performance, while incorporating dropout may not be necessary
- Final model uses Leaky ReLU activation function, with train accuracy of 97.166% and test accuracy of 90.570%.
Machine Learning Web Application to Detect Chronic Kidney Disease
Skills
Languages and Databases
Python
HTML5
CSS3
SQL
PostgreSQL
Shell Scripting
Libraries
NumPy
Pandas
OpenCV
scikit-learn
matplotlib
Frameworks
Flask
Keras
TensorFlow
PyTorch
Other
Git
GCP
Tableau
Education
New York, USA
Degree: Master of Science in Computer Engineering
CGPA: 3.77/4.00
- Principles of Database Management Systems (CS-GY-6083)
- Machine Learning (ECE-GY-6143)
- Deep Learning (ECE-GY-7123)
- Big Data (CS-GY-6513)
- NYU Academic Scholarship: $18,000
- NYU Tandon Unibuddy Scholarship: $4000
- David C. and Cecilia M. Chang Student Leadership Award: $750
Relevant Courseworks:
Associated Scholarships:
Visvesvaraya Technological University
Bangalore, India
Degree: Bachelor of Engineering in Electronics and Communication Engineering
CGPA: 3.69/4.00
- Python Application Programming
- Programming in C
- OOPS with C++
- Computer Communication Networks
Relevant Courseworks: