
MBA sophomore with a CS background. Aspiring product-manager looking to expand my tech-stack and undertake exciting projects in product/marketing analytics.
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rishavgiri6.github.io
July 14, 2020 – February 24, 2024
This is my web portfolio highlighting my education, experience, achievements and skillbase.
View ProjectSporting_Video_Classifier
July 3, 2020 – August 2, 2021
This repository contains the source code,datasets,model files and all the relevant documentation pertaining to our Final Year Project Thesis at Heritage Institute of Technology.Team members-Rishav Giri,Sarasij Jana,Shouvik Chatterjee,Sourav Dey. Project Mentor-Prof. Jhalak Dutta.
View ProjectE-comm-Tweet-Analyzer
February 13, 2020 – June 30, 2021
Results of analyzing twitter opinion-mined e-commerce data.
View ProjectCertification-Portfolio
August 28, 2019 – June 30, 2021
A zip file housing my professional course certifications, verifiable links and achievement soft-copies. For self/reference upon request.
View ProjectDigiEnabler
July 23, 2019 – June 30, 2021
A collection of handwritten digit recognition models using Py's scikit-learn library. Accuracy testing reveals a 92-95% range.
View ProjectDocker-Implementation
April 21, 2019 – June 30, 2021
Open Source contribution: Web Interface for the Docker Registry HTTP API V2 written in Ruby on Rails.
View ProjectSmart-Search
April 5, 2019 – June 30, 2021
SmartSearch is a reverse image search engine which finds similar images by generating captions and comparing those captions. Powered by Tensorflow and ElasticSearch.
View ProjectOnline-Library-Management-System
April 4, 2019 – June 30, 2021
An online DBMS (OLMS) to maintain an educational institution's library records and financial transactions.
View ProjectNews4U
April 4, 2019 – January 25, 2023
An RT news recommendation system that uses a news pipeline to scrape latest news from various of resources such CNN, BBC and Bloomberg etc.
View ProjectCommunity-Detector-GN-Algorithm
August 7, 2018 – August 7, 2018
This project implements a community detection algorithm using divisive hierarchical clustering (Girvan-Newman algorithm).
View ProjectCultural Fit Analysis
The candidate's project history shows a strong inclination towards personal projects, including a final year project thesis and open-source contribution. This indicates initiative and a self-driven learning approach. However, the projects are heavily skewed towards backend, data science, and machine learning, with limited explicit frontend-focused projects beyond a personal portfolio. This might indicate a potential mismatch with a dedicated 'Frontend Developer' target role, suggesting a broader interest in software engineering.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. Project descriptions indicate an ability to work on diverse technical challenges.