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Passionate Data Scientist and Machine Learning Engineer with a proven track record in data analysis and model development. Proficient in Python and SQL for data
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Customer-Personality-Analysis
May 1, 2023 – October 20, 2023
Customer Personality Analysis is a detailed analysis of a company’s ideal customers. It helps a business to better understand its customers and makes it easier for them to modify products according to the specific needs, behaviors and concerns of different types of customers.
View ProjectGlobal-Emissions-Data-Analysis
April 1, 2023 – April 4, 2023
Global-Emissions-Data-Analysis — GitHub repository
View ProjectDiamond-Cost-Analysis
March 31, 2023 – March 31, 2023
Diamond-Cost-Analysis — GitHub repository
View ProjectStudent-Performance-Analysis
March 27, 2023 – March 27, 2023
Student-Performance-Analysis — GitHub repository
View ProjectHR-Recruitment-Data-Analysis-
March 14, 2023 – July 20, 2023
This project focuses on extracting insights from a large dataset related to recruitment and placement activities in companies. The dataset provides valuable information that can be used by the HR department to gain knowledge about the recruitment process and market trends. The project involves several steps, including data scraping, data cleaning,
View ProjectDoctor-Fee-Prediction
February 18, 2023 – July 20, 2023
Doctor Fee Prediction" is a GitHub repository that scrapes data on doctors from Practo using Beautifulsoup and creates a table with details such as specialties, years of experience, and consultation fees.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and focus on data analysis, which aligns with the technical aspects of a Data Scientist role. However, the lack of team-based projects or diverse industry experience limits the assessment of broader cultural fit. The projects indicate a self-starter attitude.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.