Certified Data scientist Experience in Predictive Modeling Strongly holding Pandas, NumPy, PowerBI, ML, AI concepts.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Hubblemind_ML_Intern_project
October 2, 2024 – October 2, 2024
This project aimed to predict Amazon's stock price and trading volumes using historical data and machine learning techniques
View ProjectAlfidoTech_internship
October 30, 2023 – October 30, 2023
AlfidoTech_internship — GitHub repository
View ProjectE-commerce-Customer-Segmentation
June 16, 2023 – June 16, 2023
Unsupervised Learning - Using K Means algorithm to Cluster the customers.
View ProjectBizCardX-Extracting-Busniess-card-data-using-EasyOcr
June 15, 2023 – June 28, 2023
BizCardX is a user-friendly tool for extracting information from business cards. The tool uses OCR technology to recognize text on business cards and extracts the data into a SQL database after classification using regular expressions. Users can access the extracted information using a GUI built using streamlit.
View ProjectPhonepe_Pulse-Data-Visualization
June 12, 2023 – June 28, 2023
The Phonepe pulse Github repository contains a large amount of data related to various metrics and statistics. The goal is to extract this data and process it to obtain insights and information that can be visualized in a user-friendly manner.
View ProjectTwitter_Scrapping
June 6, 2023 – June 28, 2023
Twitter Scraping web app created using Streamlit. It scrapes the twitter data for the given hashtag/ keyword for the given period. The tweets are uploaded in MongoDB and can be downloaded as CSV or a JSON file.
View ProjectCultural Fit Analysis
The candidate's projects show an independent and self-driven approach to learning and applying data science concepts. The diversity of projects (stock prediction, customer segmentation, data extraction, web scraping) indicates a broad interest within the data science domain. However, all projects are personal, and there's no information on team collaboration or professional work environments, making a full cultural fit assessment difficult.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.