
Data Analyst | Data Science | Data Visualization | Python, Tableau, PowerBI, Excel, SQL, ML | Open for challenging 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
Personal-Finance-Dashboard
February 4, 2024 – February 4, 2024
Mastering Your Money: Uncover, Analyze, Thrive
View ProjectCanada-Immigration-Dashboard
October 16, 2023 – August 17, 2024
Canada's Immigration Journey: Insights from 2015 to 2023
View ProjectFace-Recognition-System-for-Student-Attendance
July 8, 2023 – August 9, 2024
Effortlessly track student attendance with our reliable Face Recognition System.
View ProjectPersonal-Portfolio
May 12, 2023 – October 18, 2023
Personal Portfolio developed using Streamlit
View ProjectIris-Data-Splitting-Experiment
May 7, 2023 – May 12, 2023
Breaking Down the Numbers: Which Data Split Ratio Yields Superior Machine Learning Results?
View ProjectSentiment-Analysis-of-Amazon-App-Reviews-using-Azure-Services
May 4, 2023 – May 7, 2024
Transforming Customer Feedback into Actionable Insights through Azure-based Sentiment Analysis of Amazon App Reviews
View ProjectEye-Classification
May 2, 2023 – July 9, 2023
Implementing End-to-End Convolution Neural Network(CNN) Classifier to determine Gender by Eyes Images
View ProjectEDA-on-Seattle-Airbnb-Data
April 29, 2023 – April 29, 2023
Unrevealing the Secrets of Seattle's Airbnb Market: A Data-Driven Approach to Better Decision Making
View ProjectRaw-Data-To-Predictive-Model-Red-Wine-Quality
April 23, 2023 – May 20, 2023
Implement Data Science Process Lifecycle on Red Wine Quality Dataset
View ProjectCultural Fit Analysis
The candidate's projects indicate a strong interest in data-driven problem-solving, which aligns with a Data Scientist role. The diversity of personal projects (attendance systems, finance dashboards, immigration analysis, CNN classifiers, sentiment analysis, EDA) suggests a proactive and curious individual. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.