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Azure_Data_Factory
December 7, 2024 – December 7, 2024
Azure_Data_Factory — GitHub repository
View ProjectProduct_Sentiment_Analysis
December 20, 2023 – September 22, 2024
This project employs NLTK, Prowebscraper, and Python for sentiment analysis on online product reviews. Through web scraping, EDA, and NLP, it evaluates user satisfaction by comparing actual ratings and sentiment scores
View ProjectUS_HPI_Prediction
December 10, 2023 – January 8, 2024
Explore the dynamics of US home prices over two decades using a robust Random Forest Regressor model. Achieving a 99.87% R2 score, uncover key factors influencing real estate trends
View ProjectNatural_Language_Processing
December 2, 2023 – January 21, 2024
GitHub repository showcasing NLP projects: OCR, summarization, TableQA, question answering, speech and machine translation, synthesis, sentiment analysis, and topic modeling for comprehensive language processing applications
View ProjectRetail-Revenue-Forecasting
November 27, 2023 – January 23, 2024
Designed an end-to-end ML model pipeline, forecasting department-wide sales by accounting for holiday markdown effects, spanning data collection to inferencing.
View ProjectLanguage_AI
November 7, 2023 – January 8, 2024
Streamlit-based NLP toolkit: Perform Sentiment Analysis, Translation, Speech Synthesis, Summarization, and Question Answering tasks effortlessly through an interactive UI
View ProjectDocker-languge-ai
October 8, 2023 – October 12, 2023
Deployed Docker image for Language Translation
View ProjectAirbnb_Analysis
August 29, 2023 – January 8, 2024
Airbnb Data Analysis and Visualization project is a comprehensive data exploration and presentation effort. It involves data collection, preprocessing, ETL work, and the creation of an interactive Streamlit user interface. The project aims to provide insights and make Airbnb data more accessible and understandable.
View ProjectYouTube-Data-Harvesting-Warehousing
June 27, 2023 – January 8, 2024
Efficient YouTube data harvesting and warehousing with Python, SQL, MongoDB, and Streamlit, enabling seamless analysis and visualization for insightful decision-making in content management and audience engagement strategies
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in data science and AI. However, without information on collaborative projects or team-based work, it's difficult to fully assess cultural fit. The breadth of skills aligns with a data scientist role, but the lack of professional experience or certifications limits the depth of this assessment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.