Dangeti Durgaprasad

Data Scientist / ML Engineer

2+ yrs exp 84 · Excellent

About

Data Scientist / ML Engineer with 2 years of software engineering experience in Python, SQL, backend development, and REST APIs, combined with hands-on experience in machine learning, statistical analysis, data preprocessing, feature engineering, and predictive modeling. Experienced in building end-to-end machine learning and data analytics solutions using Scikit-learn, XGBoost, and Python, working with large real-world datasets, and developing reproducible analytical workflows. Strong foundation in software development, model evaluation, data pipelines, and production-oriented problem solving.

Skills & Expertise (52)

Python Intermediate

7.6/10

Years Exp

SQL Intermediate

7.4/10

Years Exp

REST APIs Intermediate

7.4/10

Years Exp

FastAPI Intermediate

7.4/10

Years Exp

Streamlit Intermediate

7.0/10

Years Exp

Git Intermediate

7.0/10

Years Exp

MySql Intermediate

7.0/10

Years Exp

GitHub Intermediate

7.0/10

Years Exp

Postman Intermediate

7.0/10

Years Exp

scikit-learn Intermediate

7.0/10

Years Exp

NumPy Intermediate

7.0/10

Years Exp

Pandas Intermediate

7.0/10

Years Exp

Feature Engineering Intermediate

6.8/10

Years Exp

SMOTE Intermediate

6.6/10

Years Exp

Regression Intermediate

6.6/10

Years Exp

Classification Intermediate

6.6/10

Years Exp

Clustering Intermediate

6.6/10

Years Exp

Time Series Analysis Intermediate

6.6/10

Years Exp

A/B testing Intermediate

6.6/10

Years Exp

Power BI Intermediate

6.6/10

Years Exp

Probability Intermediate

6.6/10

Years Exp

Hypothesis Testing Intermediate

6.6/10

Years Exp

Statistical Analysis Intermediate

6.6/10

Years Exp

Seaborn Intermediate

6.6/10

Years Exp

Unsupervised Learning Intermediate

6.6/10

Years Exp

Supervised Learning Intermediate

6.6/10

Years Exp

Model Evaluation Intermediate

6.6/10

Years Exp

Hyperparameter Tuning Intermediate

6.6/10

Years Exp

EDA AWS (S3 AWS (EC2 LLMs Model Deployment Data Warehousing OOPs XGBoost Cross-Validation PyTorch Predictive Modelling Probability Distributions Experimental Design Descriptive Statistics ETL MLflow Data Transformation Data Pipelines RAG Prompt Engineering Embeddings Semantic Search Vector Databases Chroma

Work Experience

Machine Learning Intern

Unified Mentor

Feb 2026 - Apr 2026

Built a healthcare capacity analytics system using time-series analysis and KPI tracking in Python. Developed a real estate buyer segmentation system using K-Means clustering and customer profiling. Performed data preprocessing, feature engineering, EDA, and built interactive Streamlit dashboards for analytics and reporting.

Software Engineer

Vedya Infotech

Apr 2024 - Feb 2026

Developed and maintained RESTful APIs using FastAPI to support scalable web applications with secure authentication and role-based access control. Designed, implemented, and optimized relational database schemas; wrote complex SQL queries for efficient data retrieval, filtering, and performance optimization. Integrated frontend and backend components to ensure seamless data exchange, input validation, and data integrity across application layers. Collaborated with team members to develop, test, debug, and deploy backend features while maintaining code quality, reliability, and scalability. Implemented API testing and debugging using Postman, ensuring accurate request handling, proper validation, and reliable API performance.