Daniyal
Data ScientistHyderabad, Telangana, IndiaMember since June 21, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Netflix-EDA-Visualization
June 20, 2026 – Present
EDA on 8,807 Netflix titles — analyzing content type distribution, release trends, movie durations, ratings breakdown and country-wise content using Pandas and Matplotlib.
View ProjectMatplotlib-Basics-to-Advanced
June 20, 2026 – Present
Complete Matplotlib guide from basics to advanced — includes 9 topic notebooks covering all major plot types with 2 real-world projects on Gas Prices and FIFA 2018 data.
View ProjectPandas-Basics-to-Advanced
June 13, 2026 – Present
A complete Pandas learning repository covering data loading, cleaning, transformation, aggregation, reshaping, and time series analysis from beginner to advanced level.
View ProjectNumPy-Basics-To-Advanced
May 31, 2026 – Present
NumPy-Basics-To-Advanced — GitHub repository
View ProjectDevelopersHub_Advanced_Internship_Tasks
May 25, 2026 – Present
DevelopersHub_Advanced_Internship_Tasks — GitHub repository
View ProjectDaniyal_Arain_783841_Data-Science-AI_Course_work
May 20, 2026 – Present
Daniyal_Arain_783841_Data-Science-AI_Course_work — GitHub repository
View ProjectDevelopersHub-Internship-Tasks
April 17, 2026 – Present
📊 Completed Data Science & Analytics Internship Project at DevelopersHub Corporation – Includes 5 hands-on tasks in data cleaning, EDA 📈, classification 🤖, regression 📉, and model evaluation ✅ using Python, pandas, seaborn, matplotlib & scikit-learn.
View ProjectPython-Basics-to-Advanced
December 28, 2025 – Present
A complete Python learning repository covering concepts and programs from beginner to advanced level.
View ProjectDATA-STRUCTURES-AND-ALGORITHMS
August 25, 2025 – November 2, 2025
A collection of Data Structures and Algorithms implementations with problem solutions, written for learning and interview preparation
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong personal drive and initiative in learning core data science tools and concepts. The projects are primarily self-directed learning and internship tasks, indicating a foundational understanding and eagerness to grow. The alignment with a 'Data Scientist' role is clear from the project topics. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on learning and practical application, which suggests a proactive attitude. However, there is no information regarding teamwork, communication in a professional setting, or problem-solving approaches beyond technical implementation.