Suhail
Data ScientistHyderabad, Telangana, IndiaMember since June 19, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
YouTube-Video-Organizer-and-Search-Web-App
January 14, 2026 – Present
A web application that allows users to save YouTube video links, assign categories and subcategories, and search videos easily for quick access using the YouTube Data API. Built with React and JavaScript.
View Projectmovie-reccommendation-system-sung-NLP
January 14, 2026 – Present
This project is an NLP-based movie recommendation. It uses keyword extraction, sentiment-to-genre mapping, TF-IDF similarity ranking, and real-time data from the TMDb API to provide personalized movie suggestions along with OTT platform availability.
View ProjectAirlines-Review-Sentiment-Analysis-by-Scraping-Twitter
January 14, 2026 – Present
This project focuses on scraping airline customer reviews from Twitter and applying NLP-based sentiment analysis using machine learning and deep learning models. It includes tweet extraction, text preprocessing, feature engineering, sentiment classification, and result visualization to evaluate public perception of airline services.
View ProjectFitness-App-Activity-Data-Statistics-and-Outlier-Detection
November 13, 2025 – November 13, 2025
Fitness-App-Activity-Data-Statistics-and-Outlier-Detection — GitHub repository
View ProjectInventory-Management
September 20, 2025 – Present
Inventory-Management — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards data science and machine learning, aligning well with a Data Scientist role. The diversity of personal projects, including sentiment analysis, recommendation systems, and activity data analysis, indicates a proactive and self-driven learning approach. While the projects are personal, they demonstrate initiative and a willingness to explore different domains within data science. The breadth of technologies used across various projects (Python, Jupyter Notebook, JavaScript, HTML, CSS, Java, TypeScript) suggests adaptability and a broad technical curiosity, which can contribute positively to team collaboration and learning new tools.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.