Harmish Kamlesh Doshi's repositories
Boston-311-Service-Requests-Analysis-2021
This project delves into an extensive analysis of 311 service requests made by Boston residents in 2021. It aims to uncover patterns, trends, and crucial insights from the dataset, shedding light on complaint categories, request sources, locations, and government handling.
DBMS-MedicalRocket-Hospital-Management-System
This user-friendly system tackles the challenge of managing diverse hospital data by centralizing information and empowering stakeholders with intuitive access.
Driving-Customer-Insights-Post-Merger
Project involves merging customer reviews from Fudgemart and FudgeFlix to create a unified data warehouse using Kimball's approach. Utilizing Power BI, it aims to extract actionable insights for Fudge Inc., guiding strategic decisions, product enhancements, and market expansion based on comprehensive business intelligence.
HMO-Healthcare-Cost-Prediction
This project aims to predict higher healthcare costs and offer actionable insights. Utilizing an HMO's dataset, each row signifies an individual's healthcare cost data. We function as consultants for HMOs, striving to curtail expenses by advising on cost-saving strategies or revenue-boosting plans.
NYC-Green-Taxi-Trip-Analysis
Explore NYC Green Taxi data, predicting fares and optimizing pickup locations using machine learning. Regression models uncover travel patterns and enhance taxi services for an efficient urban transport experience.
Combating-Employment-Scams-True-and-Fake-Job-Classification-with-NLP
Job scams are doubling, putting job seekers at risk. This project fights back with an AI-powered classifier using NLP to spot fake job ads and protect users from online scams. Our system analyzes language patterns and leverages algorithms to create a safe and trustworthy job search experience. Stop scams, empower job seekers, and build trust online
Politica-ldeologies-Predictionin-News-Articles
Media diversity shapes perspectives, yet biased news distorts reality, fostering misinformation. 'Political Ideologies Prediction in News Articles' aims to forecast bias using PySpark, NLP, and ML for adaptable, swift inference. Integrated with NYT API, it predicts bias in top political articles, fostering better understanding of subjective content