💻 Languages: Python, SQL - 📊 Tools: Power BI, Excel, Jupyter Notebook - 📚 Libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
PORTFOLIO-HTML-CSS-
September 22, 2025 – September 22, 2025
PORTFOLIO-HTML-CSS- — GitHub repository
View ProjectApple_stock_data_assignment
August 27, 2025 – August 27, 2025
sincerely thank my mentor/supervisor, Dr. Priya Tripti, for their guidance, feedback, and encouragement throughout this journey. Their expertise played a pivotal role in the success of this project. I am also grateful to IINTM for providing the necessary resources and an environment conducive to learning and innovation.
View ProjectTelco_Customer_Churn_Dataset-3-
July 26, 2025 – July 26, 2025
Telco_Customer_Churn_Dataset-3- — GitHub repository
View Projectpython-pandas-complete
July 12, 2025 – July 18, 2025
python-pandas-complete — GitHub repository
View ProjectTransfer-Learning-Resnet-50
July 12, 2025 – July 12, 2025
Transfer-Learning-Resnet-50 — GitHub repository
View ProjectStock-Price-Prediction-
July 12, 2025 – July 12, 2025
Stock-Price-Prediction- — GitHub repository
View ProjectIOT-BASED-Smart-Water-Tank-Monitoring-System
July 11, 2025 – July 11, 2025
IOT-BASED-Smart-Water-Tank-Monitoring-System — GitHub repository
View ProjectNIFTY-PREDICTION-USING-LSTM-AND-MACHINE-LEARNING-ALGORITHMS-FROM-2001-TO-12TH-JULY-2024
July 10, 2025 – August 27, 2025
NIFTY-PREDICTION-USING-LSTM-AND-MACHINE-LEARNING-ALGORITHMS-FROM-2001-TO-12TH-JULY-2024 — GitHub repository
View ProjectCultural Fit Analysis
The candidate shows initiative through personal projects, which aligns with a proactive learning culture. However, the lack of team-based projects or detailed descriptions makes it difficult to assess collaboration or broader cultural fit. The projects are diverse within the Data Science domain, indicating a broad interest.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are minimal, and no psychometric or English test scores are provided.