Expertise in Data Analytics and Machine Learning | Actively Seeking Data Science Opportunities
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
flutter_application_1
April 24, 2025 – April 25, 2025
flutter_application_1 — GitHub repository
View ProjectSAS-6-NAME
March 8, 2025 – Present
NAME is a mobile app that enables users to create custom AI agents by uploading documents and interacting with the agent they've named.
View ProjectElbrit-Lifesciences-Private-Limited-Dashboard
November 27, 2024 – November 27, 2024
This dashboard is designed to provide insights into: Sales performance across different teams, headquarters, and products. Offer efficiency by analyzing the proportion of sales driven by claims, free items, or rate adjustments. Loss analysis due to breakage, expiry, and other return-related reasons.
View ProjectMachine-Learning-Prediction-App
November 12, 2024 – November 18, 2024
This app is useful for data scientists, analysts, or any users looking to apply a machine learning model to new data quickly, review predictions, and explore the distribution of predictions with visual insights. The downloadable results allow for easy export and further analysis outside the app.
View ProjectHouse_Price_Predictor
September 18, 2024 – September 18, 2024
In this project I will be walking you through analyzing the problem from collecting data, importing it to a Jupyter notebook, looking for promising attributes, finding out correlations, plotting graphs, creating a pipeline, dealing with missing values and much more.
View ProjectOlympic_Paris_2024_Overview_PowerBI
August 17, 2024 – August 22, 2024
Olympic_Paris_2024_Overview_PowerBI — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a mix of mobile app development, web development, and data science projects. While there's an alignment with the 'Data Scientist' target role through several data-focused projects, the diversity of projects suggests a broad interest rather than a deep specialization. The lack of team projects or open-source contributions makes it difficult to assess collaboration or cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication or work attitude.