Sathwika Reddy

Data Scientist and Machine Learning Engineer

Hyderabad, Telangana, India 0+ yrs exp 81 · Excellent

About

Data Scientist and Machine Learning Engineer with hands-on internship experience in predictive analytics, healthcare data analysis, machine learning, statistical modeling, and dashboard development. Skilled in Python, SQL, Scikit-learn, TensorFlow, Pandas, and Power BI with experience building end-to-end analytics solutions, feature engineering, and deploying ML models. Passionate about leveraging AI and data-driven insights to solve complex business problems.

Skills & Expertise (54)

Git Intermediate

6.5/10

0.5

Years Exp

scikit-learn Intermediate

6.5/10

0.5

Years Exp

XGBoost Intermediate

6.5/10

0.5

Years Exp

Clustering Intermediate

6.5/10

0.5

Years Exp

Regression Intermediate

6.5/10

0.5

Years Exp

Classification Intermediate

6.5/10

0.5

Years Exp

Exploratory data analysis Intermediate

6.5/10

0.5

Years Exp

Feature Engineering Intermediate

6.5/10

0.5

Years Exp

Data Cleaning Intermediate

6.5/10

0.5

Years Exp

SQL Intermediate

6.5/10

0.5

Years Exp

Python Intermediate

6.5/10

0.5

Years Exp

Keras Beginner

4.5/10

0.5

Years Exp

Tableau Beginner

4.5/10

0.5

Years Exp

Power BI Beginner

4.5/10

0.5

Years Exp

PyTorch Beginner

4.5/10

0.5

Years Exp

TensorFlow Beginner

4.5/10

0.5

Years Exp

VS Code Image Processing CNN Large Language Models Matplotlib Seaborn Plotly Streamlit Jupyter Notebook Facial Recognition GitHub Google Colab Docker Anaconda Responsible AI Data Storytelling API Integration Predictive Analytics Supervised Learning Java Pandas NumPy PySpark ETL Pipeline Development Text Summarization Generative AI Data Modeling Semantic Search Report Generation Unsupervised Learning Model Optimization Retrieval Augmented Generation Prompt Engineering Time Series Analysis Statistical Analysis Hypothesis Testing Predictive Modeling OpenCV

Work Experience

Data Analytics & Machine Learning Intern

Vajra.ai

Dec 2025 - Jun 2026

Architected and deployed FlowVista Patient Flow Optimization System leveraging Python, Machine Learning, and Business Intelligence to drive hospital operational efficiency, resulting in 32% reduction in patient wait times and 28% improvement in bed utilization through data-driven insights and predictive analytics. Engineered advanced API Bot Detection System using Python, Scikit-learn, Random Forest, Logistic Regression, and XGBoost, achieving 94% classification accuracy while reducing false positives by 28% through comprehensive feature engineering, model evaluation, hyperparameter tuning, and production deployment on 100,000+ data points. Performed data validation, quality assessment, and consistency checks across multiple data sources. Designed and implemented end-to-end ETL analytics and machine learning pipelines using Python, SQL, Pandas, NumPy, and GitHub, processing large-scale datasets and deploying interactive Power BI and Streamlit dashboards enabling real-time decision-making across stakeholder groups, reducing reporting cycle time by 40%. Supported machine learning model deployment, monitoring, performance tracking, and periodic retraining to maintain prediction accuracy. Documented analytical methodologies, model assumptions, experiments, and project outcomes following organizational standards.