B.Tech CSE | Aspiring Data Scientist | AI/ML/DL Enthusiast | Python Developer | Innovation-Driven Tech Explorer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
esg_sustainability_dashboard
April 6, 2026 – Present
data analysis project based on ESG SUSTAINABILITY
View ProjectNetflix_User_Behavior_Analysis
June 29, 2025 – Present
A data analysis project uncovering user preferences, content trends, and behavior patterns from Netflix viewing data.
View Projectsales-forecasting-time-series
June 28, 2025 – June 28, 2025
AI-powered sales forecasting app using ARIMA and Prophet, built with Python and Streamlit
View Projectcancer_vs_non_cancer_using_gene_expression-random_forest-
April 25, 2025 – April 25, 2025
build a machine learning model that can predict if a tissue sample is cancerous or not, based on gene expression levels.
View Projectmy_techfolio
April 13, 2025 – April 13, 2025
Personal portfolio website built with FastAPI & Tailwind CSS. Showcasing my work, skills, internships, and passion for AI, ML, and software development.
View ProjectSentiment_Analysis_using_streamlit
March 4, 2025 – March 20, 2025
A Streamlit-based Sentiment Analysis App that analyzes text sentiment using TextBlob and generates word clouds for visualization. Users can input text, view positive and negative words, and provide feedback, which gets stored in a CSV file.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards data science and machine learning, which aligns with a Data Scientist role. However, the projects are all personal and lack details on collaboration or team-based work, making it difficult to assess cultural fit in a professional team environment. The diversity of projects is good, but the depth of each project's description is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.