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Data Analyst with less than a year in Machine Learning & Data Analytics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Recently Graduated in Artificial Intelligence and Data Science with strong knowledge of Python, SQL, and data analytics. Skilled in data cleaning, preprocessing, exploratory data analysis (EDA), and generating insights from real-world datasets. Experienced in building dashboards, reports, and machine learning-based analytics solutions. Seeking an entry-level Data Analyst role.
Dr. D. Y. Patil Institute of Engineering, Management and Research Akurdi, Pune
B.E. in Artificial Intelligence and Data Science · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
Unknown Company
Machine Learning Intern
December 1, 2024 – January 31, 2025
India
Agile Sprint Success Prediction using Explainable AI
January 1, 2026 – March 31, 2026
Developed a predictive analytics system using 12,000+ Agile sprint records. Implemented and compared 4 machine learning models: ANN, Random Forest, SVM, and Logistic Regression. Achieved 88% prediction accuracy. Applied SHAP explainability techniques to improve model transparency and interpretability. Built an interactive Streamlit dashboard for real-time prediction visualization and decision support.
Customer Churn Analysis and Prediction
March 1, 2025 – April 30, 2025
Analyzed 7,000+ customer records to identify factors contributing to customer churn. Conducted exploratory data analysis and feature engineering on 20+ customer attributes. Built Logistic Regression and Random Forest models achieving 85% prediction accuracy. Created Power BI dashboards to visualize customer retention metrics and churn trends. Identified 5 key churn drivers and provided recommendations to improve retention strategies.
Sales Performance Analytics Dashboard
January 1, 2025 – February 28, 2025
Analyzed 50,000+ sales transactions to identify revenue trends, product performance, and regional sales patterns. Performed data cleaning, transformation, and aggregation using SQL queries and Excel. Designed 4 interactive Power BI dashboards tracking Revenue, Profit, Sales Growth, and Customer Segmentation KPIs. Developed 10+ visualizations including monthly sales trends, top-performing products, and region-wise performance analysis. Generated actionable business insights that supported data-driven decision-making.
React Bootcamp
Scaler
June 1, 2026 – Present
AWS Solutions Architecture Job Simulation
Forage
June 1, 2026 – Present
AI & ML Bootcamp
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying diverse data science techniques, including machine learning and explainable AI. The range of projects (churn prediction, sales analytics, sprint success prediction) shows versatility and an interest in applying data analysis to different business problems. The certifications in AWS and AI/ML indicate a commitment to continuous learning and staying updated with industry trends. The target role of Data Analyst aligns well with the candidate's demonstrated skills and project experience, suggesting a good cultural fit for a data-driven environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured problems and deliver analytical solutions. The leadership and volunteering experience as a Student Placement Coordinator and Media Head suggests organizational skills and communication abilities, which are beneficial for team collaboration and presenting findings. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration cannot be made.