SOWBHAGYA KOPPINEEDI
Houston,USA
Summary
Data Scientist professional with 4+ of years of experience working with large scale datasets using Statistical, Machine learning, Natural Language Processing (NLP) and other analytical techniques to deliver business outcomes. Highly driven and with demonstrated ability to design/plan, execute and deploy data science projects in close collaboration with the technical and non-technical personnel across different segments of the business.
Overview
5
5
years of professional experience
Work History
Research Intern
University of Houston
08.2024 - Current
- Majors: Department of Engineering Data Science
- Developing a privacy-preserving Federated Learning system to detect Pulmonary Hypertension using wearable device data (e.g., SpO2, heart rate)
- Designed a custom Client Contribution Score (CCS) to optimize client-server model aggregation and improve detection accuracy
- Evaluating the system with metrics like precision, recall, F1 score, and AUC-ROC for sensitivity to early PH detection
Analyst - Data Transformation and Automation for Enhanced Supply Chain Insights
Deloitte
Hyderabad, India
02.2022 - 01.2023
- Location: Hyderabad, India
- Successfully managed and processed extensive volumes of supply chain data, primarily SAP-specific datasets
- Developed and implemented intricate data manipulation algorithms in Python, transforming SAP-specific data into a more practical format
- This led to a 35% reduction in data processing time and enhanced data accessibility for stakeholders
- Reduced manual intervention by automating complex data transformations, achieving a 30% decrease in processing time and a 20% increase in overall efficiency
- Collaborated closely with cross-functional teams to comprehend data requirements, ensuring seamless integration of processing pipelines
- This resulted in a 15% improvement in data accuracy and a 25% reduction in integration time
Data Scientist - Sentiment Analysis of Citibank Customer Applications
TCS
Chennai, India
01.2020 - 02.2022
- Location: Chennai, India
- Successfully deployed machine learning algorithms to automate the retrieval of customer feedback from diverse platforms, including Play Store, App Store, Facebook, and Twitter, covering APAC countries
- Create Power BI reports by reusing existing SQL Queries
- Developed paginated reports using Power BI Report Builder
- Orchestrated the design, development, and administration of transactional and analytical data constructs and structures, resulting in a 20% advancement in data retrieval efficiency and a 15% reduction in data processing time
Education
Masters in Engineering - Data Science, NLP and Text Analytics
University of Houston, Cullen College of Engineering
Houston, Texas05.2025
Bachelors in Computer Science - Computer Science
JNTU
India05.2019
Skills
- Python
- R
- SQL
- Supervised learning algorithms
- Unsupervised learning algorithms
- Dimensionality Reduction
- NLP
- Ensemble methods
- Time-Series Analysis
- Model Evaluation and Validation
- Cleaning and Preprocessing
- Transformation and feature Engineering
- Aggregation
- Merging and Joining
- Handling Categorical values
- Time- Series Manipulation
- Text Data Processing
- Handling Imbalanced data
- NumPy
- Pandas
- Scikit-Learn
- Matplotlib
- Seaborn
- TensorFlow
- PyTorch
- Keras
- NLTK
- SpaCy
- Statsmodels
- OpenCV
- LightGBM
- XGBoost
- Tableau
- PowerBI
- MySQL
- Cassandra
- AWS - Amazon S3
- Amazon EC2
- Amazon RDS
- AWS lambda
- AWS GLUE
- Amazon Athena
- Amazon Sagemaker
- Amazon Comprehend
- Amazon Rekognition
Timeline
Research Intern
University of Houston
08.2024 - Current
Analyst - Data Transformation and Automation for Enhanced Supply Chain Insights
Deloitte
02.2022 - 01.2023
Data Scientist - Sentiment Analysis of Citibank Customer Applications
TCS
01.2020 - 02.2022
Masters in Engineering - Data Science, NLP and Text Analytics
University of Houston, Cullen College of Engineering
Bachelors in Computer Science - Computer Science
JNTU
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