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Profile Summary

Data Analyst with hands-on experience in SQL, Power BI, Python, and Excel through internships and real-world projects. Skilled in data visualization, EDA, and predictive modeling, delivering actionable insights and supporting business decision-making with strong analytical acumen.

Education
MS in MATHS WITH DATA SCIENCE, KIIT UNIVERSITY
2022 – 2024
B.Sc(H) IN MATHEMATICS AND COMPUTING, UTKAL UNIVERSITY
2019 – 2022
Experience
DATA SCIENCE INTERNSHIP | TEACHNOOK
  • Developed Python-based data solutions and analyzed datasets, resolving 30% of outliers and multicollinearity to enhance data quality and insights
  • Collaborated with teams to optimize campaigns and applied clustering analysis, improving predictive model performance by 15%
  • Designed ML models for classification and prediction, boosting accuracy by 20%, and utilized Excel for accurate data preprocessing and reporting
  • DATA ANALYST INTERNSHIP | FEYNN LABS
  • AI Product/Service Ideation: Developed a proposal to enhance cancer diagnosis using machine learning, providing actionable recommendations and a detailed business model report
  • Market Segmentation with ML: Performed EDA to identify trends, addressed multicollinearity and outliers, applied dimensionality reduction, and used clustering for optimized segmentation strategies
  • AI Business Prototype: Designed a prototype for electric vehicle customer segmentation using Kaggle datasets, employing advanced ML algorithms for preprocessing, visualization, and unsupervised learning
  • Certificates
    Project
    EDA ON THYROID DISEASE
  • Analyzed thyroid datasets to identify trends and insights, ensuring data integrity through cleaning and handling missing values and anomalies.
  • Applied encoding to optimize model input and evaluated ML models using accuracy, precision, and recall for reliable predictions.
  • Impact of Social Media Addiction on Student Life Using Excel
  • Avg. usage: 4.92 hrs/day; 66.5% highly addicted; Instagram most preferred (35.3%); GPA and sleep negatively correlated with usage (–0.79, –0.80).
  • Power Pivot identifies AvgDailyUsage, SleepHours as key predictors; recommends slicers, KPIs, and What-If tools for targeted interventions.
  • STORAGE CAPACITY OF INDIAN TRIBUTARIES
  • Geospatial Visualization of tributaries with latitude & longitude.
  • Tree Map Analysis of storage levels.
  • Time Series Line Plots for max, min, & avg. storage levels.
  • Telecom Customer Retention Dashboard
  • Enhanced Power BI skills by designing interactive dashboards aligned with client KPIs, supporting strategy, retention, and gender balance analysis.
  • Improved resource allocation by 25% through workforce dashboards and enabled data-driven decisions via stakeholder collaboration.
  • Skills
    • System Troubleshooting
    • Application Deployment
    • Data Analytics
    • Dashboard Design
    • KPI Monitoring
    • Business Intelligence
    • Process Optimization
    • Customer Insights Analysis
    • Strategic Execution
    • Operational Efficiency
    • Professional Communication
    • Problem Resolution
    • Timely Execution
    • User-Centric Feedback
    • Continuous Skill Development
    • Cross-functional Teamwork