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ML & DL | SQL | Image Processing | Recommendation Systems | Federated Learning
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Womens-e-commerce-Review-Application
June 20, 2023 – June 20, 2023
An RShiny web application that provides a user-friendly interface for exploring and managing a dataset of women's e-commerce clothing reviews. With this dynamic dashboard, one can quickly visualize and analyze key metrics such as product ratings, review sentiments, and more.
View ProjectAustralian-Sales-Data-Analysis
June 20, 2023 – June 20, 2023
A dashboard is created to perform analysis and generate insights based on an Australian bike sales data in Power BI.
View ProjectPython-Q-A-Facilitator
June 20, 2023 – June 20, 2023
A simple Closed Domain Question Answering System tailored to Python Programming Language (as the specific domain) . Utilized query embedding , distance measures and deployed in flask.
View ProjectFORESEE-FETAL-HEALTH
January 11, 2022 – March 17, 2022
A fetal health monitor which classifies fetus' as healthy , suspicious and pathological using ensemble techniques . Deployed using flask.
View ProjectUNIQUE-HEALTH-IDENTIFICATION-CARD
December 4, 2021 – February 2, 2022
It acts as an e-medical record for an individual's lifetime that can be updated periodically and accessed by URLs. Real-time data is being used to analyze the health trends and common disorders among people.
View ProjectHealth-Card-cpp-version
August 12, 2021 – February 2, 2022
Health Card that acts as an identity proof which manages our basic and day to day health details along with the precise dates.
View ProjectForecasting-cotton-price-using-LSTM
June 30, 2021 – September 9, 2021
A recurrent neural network based solution is developed to forecast cotton's price substantiating the efficacy of LSTM model subsequently
View ProjectImage-To-Text-and-Search-Application-using-Android-Studio
June 29, 2021 – February 2, 2022
Mobile App to scan an image, detect the text within the image and google search the latter for relevant results.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards data science and machine learning, which aligns with a Data Scientist role. The diversity of projects, from health monitoring to e-commerce review analysis and price forecasting, indicates a broad interest in applying data science across different domains. However, the projects are all personal and lack details on team collaboration or real-world impact, making it difficult to fully assess cultural fit in a professional team setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.