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Data Science with 1+ years in Machine Learning & Data Analysis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Scientist with a strong foundation in machine learning, statistical analysis, and data visualization. Skilled in Python, SQL, Pandas, NumPy, Scikit-learn, and Tableau for building predictive models and extracting actionable insights. Experienced in data cleaning, exploratory data analysis (EDA), feature engineering, and model evaluation to support data-driven decision-making.
Silver Oak University
Bachelor of Computer Applications (BCA) · Computer Applications
N/A – June 30, 2025
Bit Beast
Flutter & Dart Developer
January 1, 2024 – December 31, 2025
India
Loan Applicant Credit Risk Analysis
June 20, 2026 – Present
Developed a KNN classification model to predict loan default risk using historical applicant data. Performed data cleaning, feature engineering, and model evaluation to improve prediction accuracy. Achieved XX% accuracy using precision, recall, and F1-score metrics.
Insurance Cost Prediction
June 20, 2026 – Present
Built a Linear Regression model to estimate healthcare insurance charges. Conducted exploratory data analysis, handled missing values, and identified key cost drivers. Achieved an R2 score of XX while optimizing model performance.
Blinkit Product Analysis
June 20, 2026 – Present
Analyzed sales performance, product categories, and customer purchasing patterns using SQL. Utilized Joins, Aggregations, Window Functions, and CTEs to generate business insights. Created recommendations for inventory management and sales optimization.
Data Science Pro Certification
Fingertips Academy
April 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects are directly aligned with the Data Science target role, demonstrating initiative and interest in the field. However, the professional experience as a Flutter & Dart Developer is not directly related to data science, which suggests a potential career transition. This might indicate adaptability but also a lack of direct industry experience in data science. The diversity of projects (classification, regression, SQL analysis) shows a breadth of foundational data science skills. The candidate is still pursuing a bachelor's degree, which implies a junior-level profile rather than a senior one, potentially impacting cultural fit for a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work independently on data science tasks. The Flutter/Dart developer experience suggests some exposure to collaborative development and API integration, which are transferable operational skills. However, there is insufficient data to assess specific soft skills like leadership, problem-solving under pressure, or advanced teamwork in a data science context.