Senior Data Scientist | MITian | Top Data Voice | Top 0.1% Mentor | 110K+ Linkedin | 50K+ Instagram | Author | Ex-Google & Ex-Amazon
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Generative-AI-Projects
October 4, 2025 – Present
Your one-stop shop for AI projects, tips, and tools — because real intelligence isn’t artificial!
View ProjectDeep-Learning-Projects
August 7, 2025 – Present
Decode Deep Learning real world projects, one layer at a time.
View ProjectMachine-Learning-Engineer
June 22, 2025 – November 6, 2025
From noisy features to real-world impact – machine learning with a purpose.
View ProjectAzure-Data-Analyst
April 21, 2025 – May 3, 2025
Your Azure Analytics journey starts here – because the best dashboards speak for themselves.
View ProjectPython-For-All
October 5, 2024 – November 13, 2025
Outsmart the snake before it wraps itself around your thoughts – learn Python before it starts making all the decisions for you!
View ProjectExploratory-Data-Analysis-Projects
June 10, 2023 – Present
Exploratory Data Analysis: Turning messy data into juicy stories – because every dataset has a tale to tell!
View ProjectData-Science-Resources
June 8, 2023 – June 29, 2023
Where complex concepts meet simple explanations – because data shouldn’t be a mystery!
View ProjectMachine-Learning-Projects
June 3, 2023 – Present
Your one-stop shop for machine learning projects, tips, and notes – because learning should be accurate, not overfitted!
View ProjectStatistical-Analysis-Projects
March 25, 2023 – Present
Your one-stop shop for statistical analysis and EDA projects – because insights should be precise, not biased!
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards data science and machine learning, aligning well with a 'Senior Data Scientist & Engineer' role. The diversity of personal projects (ML, DL, Generative AI, Statistical Analysis, EDA) suggests a broad interest within the data domain. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative engineering environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.