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Data Analyst with 1+ years in Data Analysis, Power BI, 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
Results-driven Data Analyst with hands-on internship experience in SQL, Python, Power BI, and Tableau — transforming large, complex datasets into actionable business insights. Skilled in building end-to-end data pipelines, interactive dashboards (DAX, Power Query), and machine learning models (Scikit-learn, XGBoost) to drive KPI tracking and operational efficiency. Proven ability to collaborate cross-functionally, automate reporting workflows, and communicate data findings clearly to technical and non-technical stakeholders. Seeking to contribute strong analytical and visualization skills to a data-driven organization as a full-time Data Analyst.
Visvesvaraya Technological University
Bachelor of Engineering · Computer Science & Engineering
August 1, 2020 – June 30, 2024
CODE-B Solutions Pvt. Ltd.
Machine Learning Intern
March 1, 2025 – May 1, 2025
Mumbai, Maharashtra, India
IT Vedant
Data Analyst Intern
June 1, 2024 – April 1, 2025
Bengaluru, Karnataka, India
Customer Churn Prediction & Retention Analysis
June 1, 2026 – June 1, 2026
Collected and analyzed customer data using SQL segmentation and Python EDA to identify key churn drivers; built classification models to generate churn probability scores. Developed interactive Power BI dashboards visualizing churn trends and KPIs, enabling targeted retention strategies based on data-driven insights. Implemented feature engineering and preprocessing pipelines to optimize model performance and ensure data quality.
Loan Approval Prediction & Credit Risk Analysis
June 1, 2026 – June 1, 2026
Built an end-to-end data analysis and ML pipeline on 45,000+ real records, achieving 90.2% accuracy across 5 classification models. Engineered 5 domain-driven features and performed comprehensive data quality checks and statistical analysis prior to model training. Deployed a Streamlit web app for real-time loan eligibility prediction, making the model accessible to non-technical users.
Real-Time Retail Sales BI Dashboard
June 1, 2026 – June 1, 2026
Built a self-refreshing Power BI dashboard integrating live data feeds via Google Sheets API and REST API, with DAX measures tracking revenue, product performance, and sales trends. Automated data ingestion using Python, enabling near-real-time KPI visibility and reducing manual reporting effort for the retail team.
Data Analytics & Visualization Job Simulation
Accenture
June 1, 2026 – Present
Data Analysis with Python
IBM
June 1, 2026 – Present
Databases & SQL for Data Science with Python
IBM
June 1, 2026 – Present
Machine Learning with Python
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including customer churn prediction, loan approval, and retail sales BI, shows a broad interest in applying data analysis across different business domains. Their experience in internships and personal projects aligns well with a data-driven culture. The listed soft skills like cross-functional collaboration and stakeholder reporting indicate a team-oriented mindset. However, the experience level is entry-level, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills, cross-functional collaboration, and stakeholder reporting abilities through their project descriptions and internship experiences. Their proactive learning and adoption of new analytical methodologies suggest a good operational fit for dynamic data environments. The emphasis on process documentation and data quality checks indicates an organized and detail-oriented approach.