SK.SAHIL TANVER ISLAM

Data Science

https://www.opentalent.in/sksahil-tanver-islam

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

Key Strengths

Demonstrated foundational understanding of machine learning concepts through the 'Used Car Price Prediction' project, including model building (Linear Regression, Random Forest, Decision Tree Regressor), data preprocessing, and feature engineering.
Experience in data analysis and visualization using Python libraries (Pandas, Matplotlib, Seaborn) and Power BI, as shown in 'Diwali Sales Analysis' and 'Power BI Sales Dashboard' projects.
Familiarity with deploying ML models using Flask, indicating practical application skills.
Relevant coursework in Data Science, Machine Learning, and Python Programming aligns with the target role.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's academic projects demonstrate an interest in data science and analytics, which aligns with the target role. The diversity of projects (ML application, sales analysis, dashboard creation) shows a breadth of exposure to different aspects of data science. The candidate is a fresher, indicating a potential for growth and adaptability within a team. However, the resume's 'PROFILE' section states a desire for a 'Marketing Executive role', which contradicts the 'targetRole' of 'Data Science' provided in the candidate data. This discrepancy needs clarification to fully assess cultural fit and career alignment.

Soft Skills & Operational Fit

The candidate lists soft skills such as Communication (English), Team Coordination, Time Management, Discipline & Consistency, Learning Ability, and Professional Ethics. These indicate a foundational understanding of professional conduct and teamwork, which are beneficial for operational fit. However, without specific examples or assessment data, the depth of these skills cannot be fully evaluated.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Used Car Price Prediction - ML Web Application

January 1, 2030 – June 1, 2026

Built ML models using Linear Regression, Random Forest, Decision Tree Regressor. Performed data preprocessing, feature engineering, and model evaluation. Developed web interface for user input and real-time prediction. Deployed model using Flask for real-time predictions. Focused on accuracy improvement and usability.

Diwali Sales Analysis Project

January 1, 2025 – January 1, 2029

Cleaned and processed large sales datasets. Performed time-series analysis. Category-wise and location-wise sales analysis. Created visual dashboards and reports. Generated business insights and forecasting ideas.

Power BI Sales Dashboard

January 1, 2024 – January 1, 2025

Designed interactive dashboards. Built KPIs for sales performance tracking. Created filters, slicers, and dynamic visuals. Converted raw sales data into actionable insights.

Key Strengths

Demonstrated foundational understanding of machine learning concepts through the 'Used Car Price Prediction' project, including model building (Linear Regression, Random Forest, Decision Tree Regressor), data preprocessing, and feature engineering.
Experience in data analysis and visualization using Python libraries (Pandas, Matplotlib, Seaborn) and Power BI, as shown in 'Diwali Sales Analysis' and 'Power BI Sales Dashboard' projects.
Familiarity with deploying ML models using Flask, indicating practical application skills.
Relevant coursework in Data Science, Machine Learning, and Python Programming aligns with the target role.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

SK.SAHIL TANVER ISLAM

Key Strengths

Cultural & Operational Fit

About

Top Skills

Skills

Education

Projects

Key Strengths

Cultural & Operational Fit