Power Bi | Data Scientist | Machine Learning Engineer | Python Developer | Data Analyst | Business Analyst 📱 | ✉️ E-mail:jesikutty1511@gmail.com | 🌐 LinkedIn: LinkedIn Profile | 🐙 GitHub: github.com/Jesi1511/
Skills
Programming Languages: Python, SQL Databases: MySQL, MongoDB Tools & Frameworks: Git, AWS (Lambda, S3, EC2), Streamlit, Django, Powerpoint, Excel, Word Data Science / Machine Learning: Scikit-Learn, PyTorch, Pandas, NumPy, SciPy, NLTK, PySpark,NLP,LLM,Langchain Data Visualization: Power BI, Tableau, Python-Plotly, Seaborn, Matplotlib
Certifications and Courses
Advanced Programming Professional in Master Data Science - IIT, Madras Python - Guvi Power bi - Guvi Tableau -Guvi
Project Experiences (Includes Capstone Projects ,Educational Projects )
Industrial Copper Modeling
Spearheaded Industrial Copper Modeling project in the manufacturing domain. Developed regression and classification models with impressive R-squared and accuracy. Implemented an interactive Streamlit web application for real-time predictions. Key Skills: Regression Models, Classification Models, Streamlit. Visit Repo
Thyroid-Disease-Detection Thyroid disease is a common cause of medical diagnosis and prediction, with an onset that is difficult to forecast in medical research. The thyroid gland is one of our body's most vital organs. Thyroid hormone releases are responsible for metabolic regulation. Hyperthyroidism and hypothyroidism are one of the two common diseases of the thyroid that releases thyroid hormones in regulating the rate of body's metabolism. The main goal is to predict the estimated risk on a patient's chance of obtaining thyroid disease or not. Key Skills: Python, Pandas, MySQL, Streamlit, Plotly, NumPy Visit Repo
Resale Revelations: Predictive Expedition into Singapore Flat Prices
Pioneered machine learning model achieving 92% accuracy in predicting resale flat prices. Conducted meticulous data wrangling and exploratory data analysis (EDA). Orchestrated streamlined model deployment using Streamlit for user-friendly web application. Key Skills: Machine Learning, Data Wrangling, Streamlit, Real Estate Analytics. Visit Repo
Dynamic Hotel Recommendation System Using Natural Language Processing
Developed Python system for personalized hotel recommendations using NLP. Aligned user descriptions with hotel features to enhance satisfaction. Implemented effective recommendation algorithm for curated suggestions. Key Skills: NLP, Hotel Recommendations, Personalization. Visit Repo
Phonepe Pulse Data Visualization and Exploration
Led development of Phonepe Pulse Data Visualization project. Utilized Python, Pandas, and MySQL for data extraction and processing. Engineered an interactive dashboard with Streamlit and Plotly for real-time insights. Key Skills: Data Visualization, Python, Pandas, MySQL, Streamlit, Plotly. Visit Repo
Cardify: Business Card Data Extraction and Management
Developed Streamlit app automating business card data extraction, reducing entry time by 40%. Integrated EasyOCR for efficient image text extraction, deployed on Streamlit Cloud. Resulted in a centralized database accessible with a focus on user-friendly data management. Key Skills: Streamlit, OCR, Data Extraction, Data Management. Visit Repo
Airbnb Data Analysis Project
Executed Airbnb Data Analysis project, enhancing data preparation efficiency. Contributed to a modular codebase with a 98% project evaluation score. Provided valuable insights for data-driven decision-making in travel and property domains. Key Skills: Python, MongoDB Atlas, Power BI, Data Analysis. Visit Repo