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Data Science with less than a year in data analysis and machine learning
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 Analyst and Data Scientist with strong foundations in data analysis and machine learning, and hands-on experience in SQL, Python, Excel, and Power BI. Skilled in data cleaning, exploratory data analysis (EDA), feature engineering, and predictive modeling, with the ability to derive actionable insights, support data-driven decision-making, and collaborate with cross-functional stakeholders.
Management Education & Research Institute
Bachelor of Computer Applications (BCA)
August 1, 2022 – June 30, 2025
Swiggy Orders Analysis Dashboard (Excel)
July 1, 2025 – Present
Analyzed Swiggy order data to identify customer trends and built interactive Excel dashboards using Pivot Tables and slicers.
View ProjectCredit Card Default Prediction (Machine Learning)
July 1, 2025 – Present
Built classification models (Logistic Regression, SVM, XGBoost, CatBoost) to predict default risk. Improved performance using SMOTE for class imbalance and hyperparameter tuning (GridSearchCV).
View ProjectCustomer Credit Consumption Prediction (Machine Learning)
July 1, 2025 – Present
Built an end-to-end ML pipeline using Customer 360 data to predict credit consumption. Selected Linear Regression after model comparison (R² ~0.86, RMSPE ~0.26).
View ProjectNetflix Data Analytics Dashboard (SQL + Power BI)
July 1, 2025 – Present
Analyzed Netflix data using SQL to identify content trends and user behavior. Built a Power BI dashboard using DAX to track KPIs and generate insights.
View ProjectPython Programming Certification
AnalytixLabs
June 1, 2026 – Present
Machine Learning Certification
AnalytixLabs
June 1, 2026 – Present
Data Science / Artificial Intelligence Certification
IIT Guwahati
June 1, 2026 – Present
Data Visualization Analyst
NASSCOM Certified
June 1, 2026 – Present
Data Science Certification Program
AnalytixLabs
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive learning approach and an interest in diverse data analysis and machine learning applications, from business intelligence dashboards to predictive modeling. The range of tools and techniques used (Excel, Power BI, SQL, Python, various ML algorithms) indicates adaptability and a willingness to explore different facets of data science. The personal nature of all projects suggests self-motivation. However, the lack of professional experience or team-based projects makes it difficult to assess collaboration and real-world operational fit.
Soft Skills & Operational Fit
The candidate lists problem-solving, critical thinking, communication, attention to detail, and collaboration as soft skills. These are crucial for a Data Science role. However, without specific examples or assessment results, the practical application and depth of these skills cannot be fully evaluated. The project descriptions are clear, suggesting good written communication.