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Hello! I’m Krishna Kumar Singh, a passionate and results-oriented Data Analyst with a solid foundation in transforming data into actionable insights.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Pizza-Sales-Analysis---SQL
August 11, 2024 – August 11, 2024
This analysis aims to reveal pizza sales trends, revenue contributions, and customer preferences using data from various tables. Key metrics include total revenue, revenue by type, cumulative trends, and top 3 pizza types by category. Insights help optimize products and marketing strategies
View ProjectTelecom-Customer-Churn-Analysis
April 14, 2024 – August 11, 2024
This analysis aims to predict and understand telecom customer churn using Python. By analyzing customer demographics, account details, and usage patterns, we identify factors contributing to churn and develop retention strategies. The approach includes data preprocessing, exploratory analysis, feature engineering, and predictive modeling.
View ProjectNetflix-Data-Analysis
March 27, 2024 – August 11, 2024
This analysis explores Netflix's movie and web series data using Python to uncover trends and performance metrics. By examining content popularity, genre trends, rating distributions, and release patterns, we aim to enhance content strategy and user experience. Key steps include data cleaning, exploratory analysis, feature engineering and visualise
View ProjectSQL_Online_Music_Playlist_Analysis
November 30, 2023 – November 30, 2023
SQL Project to analyze Online music Playlist Data This project is for to analyze the music playlist database. You can exmine the dataset with SQL and help the store understand its business growth by solving data problem.
View ProjectVirnda-Store-Analysis
November 26, 2023 – November 26, 2023
Virnda-Store-Analysis — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio indicates a self-starter attitude and a strong interest in data science, which aligns well with roles requiring proactive learning and problem-solving. The diversity of projects (music, pizza sales, telecom churn, Netflix content) suggests adaptability and a broad curiosity within the data domain.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.