MAW

MOHAMMED ABDUL WASAY

Data Science

https://www.opentalent.in/mohammed-abdul-wasay-721460

Data Science with less than a year in Python, Machine Learning & Data Analysis.

Key Strengths

Strong foundational skills in Python for data analysis.
Demonstrated ability in data cleaning, preprocessing, and feature engineering.
Proficiency in data visualization using Matplotlib, Seaborn, and basic Power BI.
Experience with end-to-end Exploratory Data Analysis (EDA) on a real-world dataset.
Clear career objective aligned with Data Analyst / Data Science roles.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project on online retail data analysis shows practical application of skills, which aligns with a results-oriented culture. The stated interest in Machine Learning, Deep Learning, and LLMs indicates a proactive learning attitude. The project diversity is limited to one EDA project, and the experience level is entry-level, which might require significant mentorship in a senior-level role. The target role of 'Data Science' is ambitious given the current skill set and experience, but 'Data Analyst' is a good fit for the demonstrated skills.

Soft Skills & Operational Fit

The candidate's resume indicates a 'Motivated and detail-oriented' individual with 'Problem Solving & Analytical Thinking' functional skills. The project description is clear and structured, suggesting good communication of technical work. However, without specific psychometric test results or interview data, a comprehensive assessment of soft skills, work attitude, stress handling, and team collaboration is not possible.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

Motivated and detail-oriented fresher with a strong foundation in Python and data analysis tools, seeking an entry-level opportunity as a Data Analyst / Data Science professional. Currently expanding expertise in Machine Learning, Deep Learning, and Large Language Models (LLMs), with a keen interest in applying analytical and visualization skills to solve real-world business problems.

Top Skills

SeabornPythonNumpyPower BI

Education

Sri Chandra Junior College

Intermediate (XII)

N/A – January 1, 2018

Nawab Shah Alam Khan College of Engineering and Technology

B.Tech

N/A – January 1, 2024

Royal High School

Secondary School (X)

N/A – January 1, 2016

Projects

Exploratory Data Analysis (EDA) on Online Retail Dataset

June 20, 2026 – Present

Performed end-to-end EDA on an e-commerce transactional dataset containing invoice, product, customer, and country details. Cleaned the data by handling missing values, removing negative quantities, and converting columns to appropriate data types (dates, integers). Engineered new features such as amount_spent, year_month, month, day of week, and hour by parsing the invoice date. Visualized order volume and spending patterns to identify the top customers by number of orders and total amount spent. Analyzed monthly order trends to uncover seasonal patterns in customer purchasing behavior.

Key Strengths

Strong foundational skills in Python for data analysis.
Demonstrated ability in data cleaning, preprocessing, and feature engineering.
Proficiency in data visualization using Matplotlib, Seaborn, and basic Power BI.
Experience with end-to-end Exploratory Data Analysis (EDA) on a real-world dataset.
Clear career objective aligned with Data Analyst / Data Science roles.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit