Hi, I'm Sonakshi
Computer Science Engineering Student
"I thrive at the intersection of data and security analyzing information to uncover insights while safeguarding systems against risk."
Hire Me
Computer Science Engineering Student
"I thrive at the intersection of data and security analyzing information to uncover insights while safeguarding systems against risk."
Hire MeHi, I’m Sonakshi Padhi — a second-year engineering student (4th semester) navigating the worlds of data and cybersecurity. I’m fascinated by patterns hidden in chaos and the invisible threads that keep systems safe. Every dataset tells a story, every system has a vulnerability, and I love turning questions into clarity, and complexity into solutions that work. I build with purpose, analyze with curiosity, and approach every challenge as a chance to make technology smarter, cleaner, and a little more human.
Currently, I’m diving deep into data analysis techniques and cybersecurity fundamentals, honing my skills in SQL, Python, and network security protocols. I’m also exploring machine learning applications in data security to stay ahead of emerging threats.
Why you should hire me?
I bring a unique blend of analytical thinking and a passion for cybersecurity to the table. My ability to dissect complex datasets and identify vulnerabilities allows me to develop robust solutions that enhance system security. I’m not just looking to fill a role; I’m eager to contribute meaningfully to projects that require both data insight and security acumen.
Currently exploring:
University: NIST University
CGPA: 8.64
School: DAV Public School
Board: CBSE
Percentage: 85.2%
School: Matrusri Anglo Vedic School
Board: ICSE
Percentage: 95%
A responsive café website built using HTML and CSS with basic JavaScript for interactivity and improved user experience. Deployed on Netlify to ensure cross-device compatibility.
Tools: HTML, CSS, JavaScript
A team-based web platform designed to improve citizen access to digital services. Contributed to frontend development with a focus on layout, responsiveness, and UI design.
Tools: HTML, CSS, React, MongoDB
A tribute webpage dedicated to the Harry Potter series, showcasing key characters, plot points, and fan art. Built with HTML and CSS, and js .We also featured forbidden forest, room of mirror, potion brewing and most importantly sorting hat.
Tools: HTML, CSS, JavaScript
A collection of python based mini games like , rock paper scissor ,sudoku,memory game, tic tac toe. Built using flask and deployed on netlify.
Tools: HTML, CSS, JavaScript,Python(flask)
A web application that uses AI to generate human-like text based on user input. Built with HTML, CSS, JavaScript, and Python (Flask) for backend processing. The project demonstrates the integration of AI language models to create dynamic and engaging content.
Tools: HTML, CSS, JavaScript, Python (Flask), AI Language Models
A web application that allows users to track their LeetCode problem-solving progress. Built using HTML, CSS, JavaScript on Python and Java. The application provides a user-friendly interface to log solved problems, track performance, and visualize progress over time.
Tools: HTML, CSS, JavaScript, Python, Java
Analyzed a comprehensive COVID-19 dataset using Python libraries such as Pandas, NumPy, and Matplotlib. The project involved data cleaning, exploratory data analysis, and visualization to uncover trends and insights related to the pandemic's progression.
Tools: Python, Pandas, NumPy, Matplotlib
A recommendation system that suggests movies and anime based on user preferences and viewing history. Built using Python, machine learning algorithms, and a user-friendly interface to provide personalized recommendations.
Frontend:React (Vite),Tailwind CSS,Framer Motion Backend:FastAPI (Python) Machine Learning / Recommendation:Pandas, Scikit-learn Database:MongoDB
Building a Natural Language Processing (NLP) project to analyze human sentiment from textual data such as reviews and social media comments. The project focuses on transforming unstructured text into meaningful insights using data analysis and machine learning techniques.
Sentiment classification (Positive, Neutral, Negative) exploratory Data Analysis and visualization
Tools: Python • Pandas • NLTK • Scikit-learn • Matplotlib • Streamlit
Creating an interactive data visualization dashboard using Python libraries such as Dash or Streamlit. The dashboard will allow users to explore and visualize complex datasets through dynamic charts, graphs, and filters, providing insights in an intuitive and engaging way.
Tools: Python • Dash/Streamlit • Pandas • Plotly • Matplotlib
A comparative data analysis project that examines the performance of Zomato and Swiggy, two leading food delivery platforms. The project involves collecting and analyzing data on user reviews, delivery times, pricing, and customer satisfaction to identify trends and insights about the competitive landscape of the food delivery industry.
Tools: Python, Pandas, Matplotlib, Seaborn.
Developing a machine learning model to predict stock prices based on historical data and market indicators. The project will involve data preprocessing, feature engineering, and the application of regression algorithms to forecast future stock prices, providing insights for investors and traders.
Tools: Python • Pandas • Scikit-learn • Matplotlib • Jupyter Notebook
Have an idea, a project, or just curiosity knocking? My inbox is open for all things interesting.