Sushma Thamatam
Professional Summary
System Engineer with 0 years of experience focused on data engineering and analytics built through university projects and internships. Skilled in Snowflake data warehousing, SQL transformations, and ETL concepts for ingesting and modelling business datasets. Experienced building interactive dashboards in Power BI and Tableau to surface sales, customer segmentation, and fraud insights. Applied MATLAB-based signal processing, feature engineering, and model evaluation in a research project that contributed material to an IEEE conference submission. Comfortable writing data-cleaning routines in SQL and Excel and prototyping analytics pipelines using Java and lightweight C utilities when required. Seeking an entry-level system engineering role where I can translate analytical models and reliable data pipelines into operational dashboards and actionable business insights.
Technical Skills
Work Experience
- Implemented data preprocessing and feature extraction routines in MATLAB to prepare heterogeneous datasets for model training.
- Designed and documented ETL-style SQL pulls and Excel transforms to prepare structured inputs for experiments.
- Trained and evaluated supervised classifiers using cross-validation frameworks and recorded model evaluation metrics to inform tuning.
- Developed reproducible experiment logs and summaries to standardize results reporting across iterative model runs.
- Automated data-validation checks and basic cleansing scripts to ensure input quality for downstream model training.
- Partnered with mentors to translate experimental results into actionable recommendations for production-ready pipeline requirements.
- Processed biomedical speech signals using MATLAB to extract time- and frequency-domain features for apnea detection.
- Engineered signal-cleaning and segmentation routines to remove artifacts and normalize recordings prior to analysis.
- Implemented feature engineering workflows to produce consistent inputs for classification experiments.
- Evaluated model outputs using standard classification metrics and prepared figures to support results interpretation.
- Authored Methods and Results sections and contributed experimental figures used in an IEEE conference paper submission.
- Presented preprocessing and analysis methodology at the VIT-AP workshop and handed off cleaned datasets and scripts to the research team.
Projects
- Built a Snowflake data model to centralize transactional and customer tables for sales analytics.
- Authored SQL transformation scripts in Snowflake to compute revenue metrics and customer lifetime metrics.
- Developed interactive Power BI dashboards for revenue trends, product demand and customer segmentation.
- Implemented a Java-based ingestion component to extract transactional logs and load staged tables in Snowflake.
- Designed Snowflake staging and transformation layers to consolidate transaction and risk-feature datasets.
- Wrote SQL-based rules to surface high-risk transactions and prepared datasets for visualization.
- Created interactive Tableau dashboards to highlight anomalous patterns and support investigation workflows.
- Developed a lightweight C utility to pre-process large CSV exports for faster downstream loading into Snowflake.
- Processed and cleaned biomedical signal recordings and extracted relevant time- and frequency-domain features.
- Engineered feature sets optimized for classification and prepared balanced datasets for experiments.
- Evaluated classification approaches and documented results to support model selection and further research.
Education
Certifications
Achievements
- MSME Idea Hackathon — cleared 2 levels
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