🎖AI Automation Engineer | Data Scientist Game Changer🎲 Proùd tø bë !nD!añ 🇮🇳
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Netra-ai.in
Data Scientist
June 16, 2026 – Present
Youtube_Channel_Analysis
March 2, 2025 – March 23, 2025
Youtube_Channel_Analysis — GitHub repository
View Projectshipping_costs_leakages
March 2, 2025 – March 23, 2025
shipping_costs_leakages — GitHub repository
View ProjectCV_Emotional_Detection
March 2, 2025 – Present
CV_Emotional_Detection — GitHub repository
View ProjectMarketingAnalytics
March 2, 2025 – March 23, 2025
This project involves analyzing customer reviews using Python, querying data from SQL Server, and creating an interactive Power BI dashboard to visualize key marketing insights.
View ProjectChat_With_Multiple_pdfs
February 11, 2025 – Present
This project allows users to upload multiple PDF files and interact with their content using a chat-based interface. It leverages LangChain, FAISS (Facebook AI Similarity Search), and Streamlit to extract text, store embeddings, and generate responses based on user queries.
View ProjectSentiment_Analysis_project
February 6, 2025 – Present
This is a Flask-based web application for sentiment analysis. It takes user input in the form of text and predicts whether the sentiment is positive or negative using a trained classification model.
View ProjectMovie_Recommender_System
January 8, 2025 – March 5, 2025
This is a **Movie Recommender System** using Streamlit. It loads pre-trained data (movies_dict, similarity) to recommend five movies based on a selected Movie. Posters are fetched from the TMDB API.
View ProjectIncome_Predictor
December 26, 2024 – March 5, 2025
An income predictor using a Random Forest model is a machine learning approach that forecasts an individual's income based on various features such as age, education, occupation, and experience. The model leverages multiple decision trees to improve prediction accuracy by considering different patterns in the dataset.
View ProjectRevenue_Prediction
December 14, 2024 – March 5, 2025
This repository contains a machine learning model to predict revenue based on historical data. It includes data preprocessing, model training, and deployment as a REST API using Flask. Technologies used: Python, Scikit-learn, Flask. Ready for easy integration and forecasting.
View ProjectCultural Fit Analysis
The candidate has a diverse portfolio of personal projects, indicating initiative and a passion for data science. The projects align well with a Data Scientist role, covering various aspects from predictive modeling to NLP and recommendation systems. However, the candidate's experience level is listed as 0, and the only professional experience listed is a current Data Scientist role starting in the future (2026), which raises questions about current practical experience. This discrepancy impacts the cultural fit assessment, as real-world team collaboration and project delivery experience are crucial for senior roles.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse data science problems. However, without psychometric test results or interview data, it is not possible to assess soft skills, logical reasoning, work attitude, stress handling, or team collaboration.