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Data Scientist and AI Researcher
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Adecco
Data Scientist and AI Dev
June 15, 2026 – Present
Tableau-for-Data-Science
April 9, 2026 – Present
Tableau for Data Science: A practical repository showcasing data visualization and business intelligence techniques using Tableau. Covers dashboards, data storytelling, calculated fields, and real-world datasets to transform raw data into actionable insights for effective decision-making.
View ProjectSQL---MySQL-for-Data-Science
April 9, 2026 – Present
SQL for Data Science: A comprehensive repository covering essential SQL concepts for data analysis, including data querying, filtering, joins, aggregations, subqueries, window functions, and real-world datasets. Designed for beginners to advanced learners to build strong data-driven decision-making skills
View ProjectAdvanced-Statistics-for-Data-Science-Machine-Learning-Using-Sci-kit-Learn-and-Scipy
April 4, 2026 – Present
A comprehensive Statistics repository using Scikit-learn and SciPy, covering key concepts like probability, distributions, hypothesis testing, sampling techniques, and data visualization. Includes practical implementations, examples, and code to bridge theory with real-world data analysis.
View ProjectPower-BI-for-Business-Intelligence
April 2, 2026 – Present
A comprehensive Power BI repository showcasing business intelligence solutions, including interactive dashboards, data modeling, ETL processes, and insightful visualizations. Focused on transforming raw data into actionable insights for data-driven decision-making.
View ProjectData-Analysis---Store-Footfall-Analysis-Retail-Footfall-Open-Dataset-City-Open-Data-Portals-
March 15, 2026 – Present
Comprehensive analysis of a football dataset including data understanding, descriptive statistics, and exploratory visualizations. Applied probability analysis, hypothesis testing, ANOVA, and PCA using linear algebra concepts to uncover patterns, relationships, and actionable insights supported by statistical methods and visualizations.
View ProjectStatistics-for-Data-Science
January 25, 2026 – Present
Analytical Methods in Engineering Systems (Statistics) covering probability, random variables, distributions, hypothesis testing, estimation, regression, correlation, ANOVA, and statistical modeling with practical examples and Python implementations for data science and engineering applications.
View ProjectPython-for-Data-Science-Machine-Learning
January 25, 2026 – Present
Comprehensive Python for Data Science & ML repo covering Python basics, NumPy, Pandas, Matplotlib, Seaborn, Plotly, EDA, ML algorithms (LR, KNN, DT, RF, SVM, K-Means, PCA), NLP, Recommenders, Deep Learning, and Big Data with Spark. Daily hands-on practice & projects.
View ProjectArtificial-Intelligence-Free-Books
August 1, 2025 – August 1, 2025
These are the Text books listed below, which are extremely helpful and free of cost:
View ProjectFront-End-Projects
October 11, 2023 – October 11, 2023
Basic HTML, CSS and JavaScript codes for beginners
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and focus heavily on foundational data science and AI concepts. While this shows initiative, the lack of team-based or diverse project types makes it difficult to assess cultural fit beyond a strong individual drive for learning. The target role is 'Data Scientist and AI Dev', which aligns with the project themes, but the experience level is 0, suggesting a very junior profile for a role that typically requires more practical, collaborative experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, indicating no completed assessment.