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Data Analyst with less than a year in ML Pipelines & Data Analysis
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Assessing your cultural and operational fit
Results-driven Data Science and Machine Learning Engineer with hands-on experience building end-to-end ML pipelines, conducting exploratory data analysis, designing interactive Power BI dashboards. Delivered production-ready classification models achieving 89% accuracy and 0.91 AUC-ROC. Proficient in Python, SQL, and Scikit-learn, with a proven ability to transform complex datasets into scalable, data-driven business solutions for cross-functional stakeholders.
Anuradha Engineering College, Amravati University
Bachelor of Engineering · Information Technology
August 1, 2022 – June 30, 2025
Board of Technical Education, Maharashtra
Diploma · Electrical Engineering
August 1, 2019 – June 30, 2022
UV Technocrats and Solutions
Data Science Intern
December 1, 2025 – May 31, 2026
India
HR Analytics Dashboard
January 1, 2026 – December 31, 2026
Developed a comprehensive end-to-end HR dashboard in Power BI to visualize workforce KPIs including attrition rate, headcount trends, department-wise performance, and hiring funnel metrics. Authored 20+ DAX measures for dynamic attrition analysis, tenure segmentation, and salary band comparisons; implemented drill-through reports for granular, employee-level insights. Identified attrition hotspots across three key departments and delivered data-backed recommendations projected to reduce voluntary turnover by 18%.
View ProjectLoan Prediction System
January 1, 2025 – December 31, 2025
Built a supervised machine learning pipeline using Logistic Regression, Decision Tree, and Random Forest on 1,00,000+ applicant records to predict loan approval status, achieving 89+% accuracy and 0.91 AUC-ROC. Applied SMOTE to address class imbalance and engineered predictive features from income, credit history, and loan amount, improving model generalization and reducing false negatives. Visualized model performance through confusion matrices and ROC curves; documented reproducible findings in a structured Jupyter Notebook for seamless stakeholder handoff.
View ProjectWalmart Sales Analysis
January 1, 2025 – December 31, 2025
Analyzed multi-store retail sales data using advanced SQL joins and aggregations, uncovering category performance trends and geographic revenue patterns across multiple store locations. Formulated actionable inventory optimization recommendations based on seasonal sales patterns, improving projected category-level revenue allocation and stock planning accuracy.
View ProjectData Analysis Virtual Experience - Data visualization and business insight generation
Forage × TATA
June 1, 2026 – Present
Introduction to MS Excel
Simplilearn (Microsoft)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects showcase a diverse application of data analysis skills across different domains (loan prediction, HR analytics, retail sales), indicating adaptability and a broad interest in problem-solving. The use of GitHub for projects suggests a collaborative mindset and adherence to version control best practices. The internship experience aligns well with the target role of Data Analyst, demonstrating a proactive approach to gaining relevant industry exposure. The combination of technical skills and project diversity suggests a good cultural fit for a data-driven organization.
Soft Skills & Operational Fit
The candidate demonstrates a results-driven approach, as highlighted in the professional summary and project descriptions (e.g., achieving 89%+ accuracy, reducing manual reporting effort by 30%, reducing voluntary turnover by 18%). The focus on documenting findings and stakeholder handoff suggests good operational awareness and communication potential. However, without specific psychometric test results, a deeper assessment of logical reasoning, work attitude, stress handling, and team collaboration is not possible.