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Python Engineer with less than a year in Data Science & FastAPI
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Assessing your cultural and operational fit
Results-driven Python Developer and Data Analyst with hands-on experience building scalable FastAPI backends and delivering ML-powered solutions. Proven track record of improving model accuracy by up to 20% and processing 10,000+ row datasets to surface actionable insights. Bridges the gap between raw data and real business value. Fluent in Python, SQL, and production-grade API design.
SGBAU Amravati University
B.E. · Information Technology
August 1, 2019 – June 30, 2023
The Developer Arena
Data Science Intern
August 1, 2025 – January 1, 2026
India
Real Estate Price Prediction
January 1, 2023 – December 31, 2024
Trained Random Forest, Decision Tree, and Linear Regression models on 5,000+ housing records, achieving R² of 0.88top 12% benchmark for this dataset class. Reduced prediction RMSE by 20% through systematic feature engineering (log transforms, encoding, correlation pruning) on 10+ property attributes. Produced feature-importance and market-trend visualizations adopted directly in the project's final analysis report.
Project Tracker Backend System
January 1, 2023 – December 31, 2024
Architected a scalable REST API backend from scratch to manage project lifecycles, team allocation, and task dependencies across multiple departments. Implemented role-based access control (RBAC) with JWT authentication, securing 3 distinct user roles and all CRUD endpoints. Optimized PostgreSQL schema design for efficient joins and retrieval; validated 20+ API endpoints via Postman with zero critical failures.
Bank Loan Analysis
January 1, 2023 – December 31, 2024
Built an interactive Bank Loan Analysis Dashboard in Power BI to track loan approvals, funded amounts, repayments, and customer demographics using dynamic visualizations and KPI metrics. Performed data cleaning, transformation, and analysis using Power Query, DAX, and Excel/CSV datasets, enabling accurate reporting and identification of loan default trends and high-risk customer segments. Designed user-friendly dashboards with slicers, drill-through reports, and trend analysis charts to provide actionable business insights and support data-driven decision-making.
Certification in Data Science
Unknown
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a good breadth of technical interests, spanning backend development, machine learning, and data analysis/visualization. This versatility suggests adaptability and a willingness to tackle diverse challenges, which can be a positive for cultural fit in dynamic environments. The focus on Python and related data/backend technologies aligns well with a 'Python Engineer' role. However, the experience is primarily personal projects and an internship, which might indicate a need for more exposure to large-scale team collaboration and enterprise-level development practices.
Soft Skills & Operational Fit
The candidate demonstrates a results-driven approach, evidenced by quantifiable achievements in model accuracy improvement and data quality reduction. Their project descriptions highlight problem-solving skills and an ability to translate technical work into business value. The internship experience suggests a capacity for structured learning and application of technical skills in a professional setting. However, without direct interview data, assessment of collaboration, stress handling, and communication in a team context is limited.