
when the right time comes, every random kick becomes a goal. so just never quit.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
blinkit-sales-analytics-dashboard
June 11, 2026 – Present
Interactive Tableau dashboard analyzing BlinkIT grocery sales, outlet performance, customer ratings, and product insights.
View ProjectIPL-2026-Performance-Analytics-Dashboard
June 11, 2026 – Present
Interactive Tableau Dashboard for IPL 2026 team and player performance analysis
View ProjectFood_Ordering_App
November 29, 2025 – November 29, 2025
Food_Ordering_App — GitHub repository
View Projectquickbite-analysis
November 25, 2025 – November 25, 2025
quickbite-analysis — GitHub repository
View Projectcustomer-churn-prediction
July 4, 2025 – July 4, 2025
AI-powered customer churn prediction web app using Django & Machine Learning. Includes form-based prediction, result visualization, and EDA dashboard.
View Projectfraud-detection-django
June 26, 2025 – June 26, 2025
fraud-detection-django — GitHub repository
View ProjectOdishaTourism
May 29, 2025 – May 30, 2025
A perfect project named as Odisha Tourism for exploring Django and cultural web applications.
View Projectbreast-cancer-detection-django
May 29, 2025 – May 29, 2025
🧠 Django web app for breast cancer prediction using ML – features include real-time results, confidence scores, dark/light mode, and Chart.js visualizations.
View Projectstock-forecast-django
May 27, 2025 – May 27, 2025
📈 Stock Forecast Django: A Django-powered web app for forecasting IBM stock prices using ARIMA, Prophet, and LSTM models. Includes data cleaning, trend/seasonality analysis, visualizations, and model performance comparison.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, focusing on data science and machine learning applications. While this aligns with the target role of Data Scientist, the lack of team-based projects, professional experience, or diverse project types makes it difficult to fully assess cultural fit. The projects indicate a self-starter mentality and a passion for applying ML concepts.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions suggest an ability to work independently on personal projects.