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Voyage_Analytics_MLOps_Project
May 31, 2026 – Present
This repository contains an end-to-end, production-ready machine learning ecosystem that transforms travel and tourism analytics. By integrating three distinct datasets—Users, Flights, and Hotels—this project delivers high-value predictive intelligence while establishing a robust, automated MLOps pipeline.
View ProjectSample_Hotel_Recommender
April 10, 2025 – April 10, 2025
sample hotel recommender app to test building recommender system
View ProjectEmail-Campaign-Effectiveness-Prediction
March 6, 2025 – March 11, 2025
Analyzing the email campaign analytics data and building ML model that can predict email effectiveness. Bring out insights to plan future campaigns.
View ProjectHeart_Attack_Risk_Prediction
January 22, 2025 – February 8, 2025
This project demonstrates the potential of machine learning in healthcare, offering a valuable tool for predicting heart attack risk and aiding in proactive health management.
View ProjectPowerBI_Sample_Dashboard_1
September 8, 2024 – September 15, 2024
It is a repository consisting of sample Power BI dashboard which explains various aspects present in Power BI
View Projectxpath-search
August 11, 2024 – August 11, 2024
Tis chrome extension search for data in website DOM using xpath
View Projectxpath_validator
August 4, 2024 – August 4, 2024
Check if your xpath are correct on all the web links
View ProjectStatistical-Analysis-of-Marketing-Data
July 12, 2024 – July 16, 2024
Statistical analysis of a marketing data collected in a super market using python and visualization in order to predict the future outcomes.
View ProjectWeb-Scraping-with-Scrapy
June 22, 2024 – July 1, 2024
This is the scrapy frame work which is capable of scraping any news website in order to extract information out of it.
View ProjectTop-25-Essential-Python-Projects
September 11, 2023 – September 6, 2024
This repository encompasses a collection of projects crafted utilizing Python, the Flask Framework, HTML, CSS, along with various other Python libraries and a diverse array of Python functionalities.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards individual contributions and personal learning. While there's a good breadth of technical projects, the lack of team-based or collaborative projects makes it difficult to assess cultural fit for a team-oriented role. The experience level is 0, suggesting a junior profile, which might not align with a senior Data Scientist role without significant upskilling and mentorship.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.