Detail-oriented professional with a strong background in Artificial Intelligence and Data Science. Skilled in quality assurance, data visualization, and statistical analysis. Experienced in using Jira for bug tracking and management. Collaborative team player focused on driving continuous improvement and leveraging data to deliver impactful business solutions.
Intern at Usk Infotech
Key Skills: Data Visualization Data Science data modelling Classifiers Data Classification outliers Flask HTML5 CSS.
Developed a loan prediction model to determine eligibility based on a dataset. Utilized machine learning techniques and data science modules, including data wrangling, filtering, and resampling. Employed Matplotlib and Seaborn for data visualization and used Label Encoder for data transformation. Implemented classifiers such as Random Forest, Decision Tree, and Logistic Regression with Sk-learn in Python using Jupyter Notebook. Created a demonstration website using HTML and Flask.
Context Based Multilingual Spam Detection DATE: 25 Nov, 2023
Science And Technology| Multidisciplinary International Conference on innovation
Mentor: Mrs Ankita Tidake
Project Link: http://proceeding.conferenceworld.in/ICIEST-2023/32.pdf
Key Skills: NLTK, Data Engineering, Data Visualization, Statistical Data Analysis, Statistical Modeling, Machine Learning, Python, Framework, Flask, Streamlite, NLP, Yaml.
Pioneered a project to tackle the global spam epidemic by building a context-sensitive multilingual spam detection system. Led a team in using NLP, machine learning, and statistical modeling techniques to accurately identify spam emails across various languages. Enhanced email security and user experience by significantly reducing spam volume. Utilized NLTK, Python, Flask, Streamlit, and other frameworks for data engineering, visualization, and analysis. Demonstrated strong leadership and technical skills in a collaborative environment, contributing to research advancements in multilingual spam detection.