Finance Bank Loan Eligibility Analysis & Prediction
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Summary
Developed a comprehensive system for predicting loan eligibility, integrating data collection, machine learning, and interactive dashboards.
Aspiring Data Analyst with a strong foundation in data visualization, wrangling, statistical analysis, and predictive modeling. Proficient in SQL, Python, Power BI, and Excel, with hands-on experience in ETL, automation, and dashboarding. Eager to leverage analytical expertise and problem-solving skills to drive data-driven decision-making in a dynamic environment.
Data Analyst Intern
Bangalore, Karnataka, India
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Summary
Collaborated with key stakeholders and product managers to understand business requirements, delivering end-to-end data analysis with actionable insights for e-commerce, financial, and marketing data.
Highlights
Partnered with key stakeholders and product managers to define business requirements, ensuring data analysis aligned with strategic objectives.
Led end-to-end data analysis projects, from problem definition to actionable insights, driving data-driven decision-making.
Conducted deep-dive analyses and presented data-driven narratives with actionable insights and recommendations to stakeholders.
Analyzed diverse datasets spanning e-commerce (Traffic, Conversion Rate, MIR), financials (Bookings, Gross Profit, Margin), marketing (Customer Acquisition, ROAS), and promotions to identify key performance indicators.
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Bachelor of Technology
Computer Science and Engineering
Grade: 7.01 CGPA
Microsoft Excel, Power BI, Tableau, Digital Marketing, Content Strategy, Agile.
Python, Pandas, NumPy, Scikit-learn, SQL.
Supervised Learning, Unsupervised Learning, Regression.
Power Query, Python Automation.
Hypothesis Testing, A/B Testing, Data Cleaning.
Problem-Solving, Critical Thinking, Communication, Leadership, Collaboration, Stakeholder Management.
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Summary
Developed a comprehensive system for predicting loan eligibility, integrating data collection, machine learning, and interactive dashboards.
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Summary
Developed an interactive Power BI dashboard to analyze sales trends and customer behavior for a retail database.
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Summary
Built a predictive model to identify and mitigate customer churn using machine learning techniques.