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Data Analyst with 1+ years in Data Analytics, Machine Learning, Python and Power BI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science and Engineering graduate with hands-on experience in Data Analytics, Machine Learning, Python, SQL, Power BI, Excel, ETL, data cleaning, data validation, dashboard development, and predictive modeling. Experienced in building machine learning models, analyzing structured datasets, creating business dashboards, and developing Streamlit applications. Seeking Data Analyst role to apply analytical, programming, and problem-solving skills in real-world business and technology projects.
Ballari Institute of Technology and Management
Bachelor of Engineering · Computer Science and Engineering
August 1, 2020 – June 30, 2024
AI Variant / ExcelR Academy
Data Science Intern
August 1, 2024 – May 1, 2025
India
Liver Disease Prediction using Machine Learning
June 1, 2026 – Present
Cleaned and prepared medical datasets by handling missing values, outliers, feature scaling, and statistical analysis. Developed machine learning models using Random Forest, XGBoost, and KNN to predict liver disease risk from patient data. Built a Streamlit web application to provide instant prediction results with a simple and user-friendly interface. Achieved 94% model accuracy and improved prediction workflow efficiency by 15%.
Customer Shopping Behavior Analysis
June 1, 2026 – Present
Analyzed 3,900 customer records using Python, SQL, Excel, and Power BI to identify purchasing patterns and retention factors. Performed ETL, data cleaning, data validation, and exploratory data analysis to prepare reliable business datasets. Built interactive Power BI dashboards to track customer behavior, sales trends, and key business metrics. Delivered insights that supported a 20% improvement in customer retention and 30% faster reporting.
World Development Indicator Clustering
June 1, 2026 – Present
Preprocessed global development datasets using imputation, scaling, feature engineering, and dimensionality reduction. Applied K-Means, DBSCAN, and PCA to group countries based on development and socio-economic indicators. Automated segmentation and reporting workflows, reducing manual analysis effort and improving reporting speed by 30%.
Microsoft Data Analyst Professional Certificate
Coursera
June 1, 2026 – Present
Data Science Certification
ExcelR
June 1, 2026 – Present
Data Analyst Certification
PayPal
June 1, 2026 – Present
Masters Program in Data Science
NASSCOM
January 1, 2025 – Present
Deloitte Data Analytics Job Simulation
Forage
January 1, 2025 – Present
Data Visualization and Insights
Forage
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from medical prediction to customer behavior and global development indicators, shows a broad interest in applying data analysis across different domains. The certifications from various reputable organizations (Coursera, ExcelR, NASSCOM, Forage) indicate a proactive approach to continuous learning and professional development. This aligns well with a culture that values continuous improvement and diverse problem-solving.
Soft Skills & Operational Fit
The candidate lists 'Analytical Thinking', 'Problem Solving', 'Communication', 'Teamwork', and 'Time Management' as soft skills. Project descriptions and internship experience indicate collaboration and presentation of insights, suggesting a good operational fit for roles requiring teamwork and communication. The focus on improving efficiency and accuracy in projects also points to a results-oriented approach.