Data Science with 1+ years in Machine Learning & Statistical 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 diverse within the data science domain, covering classification, regression, and SQL-based business intelligence. The Flutter/Dart development experience, while not directly data science, shows a breadth of technical interest and ability to learn new technologies. This diversity suggests a potential for adaptability and a willingness to explore different technical areas, which can be a positive for cultural fit in dynamic environments. However, the experience level is entry-level, and the target role is Data Science, while the only professional experience is in mobile development. This creates a slight misalignment, though the personal projects strongly align with Data Science.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured problems and apply learned techniques. The Flutter/Dart experience suggests adaptability and exposure to software development lifecycles, which can be beneficial in a data science role requiring deployment or integration. However, there is insufficient data to assess specific soft skills like teamwork, leadership, or problem-solving under pressure.