The one who asks, "But why?" to every dataset. AI | Data Science | ML | Python | SQL | Power BI
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
TELECOM-CUSTOMER-CHURN-PREDICTION
May 29, 2025 – May 29, 2025
TELECOM-CUSTOMER-CHURN-PREDICTION — GitHub repository
View ProjectCLASSIFYING-SHOOTING-INCIDENT-FATALITY
April 29, 2025 – April 29, 2025
CLASSIFYING-SHOOTING-INCIDENT-FATALITY — GitHub repository
View ProjectPREDICTING-SOLAR-ENERGY-PRODUCTION
April 29, 2025 – April 29, 2025
PREDICTING-SOLAR-ENERGY-PRODUCTION — GitHub repository
View ProjectBREAST-CANCER-RISK-PREDICTION
January 4, 2025 – January 29, 2025
BREAST-CANCER-RISK-PREDICTION — GitHub repository
View ProjectADDITION-AND-TRANSPOSE-OF-MATRIX
May 27, 2023 – May 27, 2023
Write a java program for the following matrix operations. a) Addition of two matrices b)Transpose of a matrix
View ProjectPRINT-THE-ARMSTRONG-NUMBER
May 26, 2023 – May 26, 2023
Write a program to input N numbers in an array and print out the Armstrong numbers from the set.
View ProjectAVERAGE-OF-INTEGERS
May 26, 2023 – May 26, 2023
Write a program that will prompt the user for a list of 5 prices. Compute the average of the prices and find out all the prices that are higher than the calculated average.
View ProjectARRAY-OF-INTERGERS
May 26, 2023 – May 26, 2023
Write a program to create an array of 10 integers. Accept values from the user in that array. Input another number from the user and find out how many numbers are equal to the number passed, how many are greater and how many are less than the number passed.
View ProjectLARGE-SAMPLE-TESTS
November 30, 2022 – November 30, 2022
Large sample tests for Means and proportions based on single and two samples using R
View ProjectGENERATION-OF-RANDOM-SAMPLES
November 27, 2022 – November 29, 2022
Generation of random samples using R
View ProjectCultural Fit Analysis
The candidate's projects show a breadth of interest in data science applications, which aligns with a data-driven culture. However, the projects are all personal and lack details on team collaboration or impact, making a comprehensive cultural fit assessment difficult. The Java projects indicate a foundational programming interest beyond data science, which could be a strength in diverse technical environments.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily lists technical projects without details on collaboration, problem-solving approaches, or communication in a team setting.