CV
Education
- M.S., Data Science, Seattle University (Graduate June 2025)
- B.E., Information Technology, Osmania University (Graduated - 2021)
Work experience
Graduate Research Assistant @ Seattle University (June 2024 - Present)
- 𝗣𝗿𝗲𝘀𝗲𝗻𝘁𝗲𝗱 𝗮 𝗽𝗼𝘀𝘁𝗲𝗿 at the 𝟮𝟬𝟮𝟰 𝗡𝗲𝘂𝗿𝗼𝘀𝗰𝗶𝗲𝗻𝗰𝗲 𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 titled ‘A Population Model of the Lateral Shell of the Central Nucleus of the Inferior Colliculus in Barn Owls’.
- Conducting Research on the barn owl’s auditory system, analyzing 𝗻𝗲𝘂𝗿𝗼-𝗽𝗵𝘆𝘀𝗶𝗼𝗹𝗼𝗴𝗶𝗰𝗮𝗹 𝗱𝗮𝘁𝗮 to understand their exceptional sound localization.
- 𝗖𝗼-𝗮𝘂𝘁𝗵𝗼𝗿𝗶𝗻𝗴 the research paper for this project.
- Developed ML models to predict neuronal responses with 𝗰𝘂𝘀𝘁𝗼𝗺 𝗽𝗮𝗿𝗮𝗺𝗲𝘁𝗲𝗿𝗶𝘇𝗮𝘁𝗶𝗼𝗻.
- Extracted data from published figures, recreated visuals using matplotlib, and transformed the data for seamless analysis.
- Applied regression techniques and SVD to analyze response properties, plotting correlations for over 120 neurons using 3D visualization.
- Performed statistical tests like paired t-test, Anova test to ensure data reliability and make decisions.
Software/Data Engineer @ Applied Information Sciences (Aug 2021 – Aug 2023)
- Worked on building an end-to-end Data Transformation ELT Solution that handled millions of records of a leading auto insurance company in the USA.
- Built an Audit Framework to validate the data processed by the ELT solution.
- Developed a separate Test framework of around (~60 unit tests) to perform Unit Testing on the complete ELT solution.
- Built a PDF Q&A chat application using OpenAI API, Large Language Models & Semantic Kernels SDK.
- Integrated vector database Qdrant with LLMs to store vectorized data and fetch most relevant responses to the query.
- Worked on Prompt Engineering best practices and utilized them to enhance the query efficiency.
Skills
- 🖥️ Languages
- Python
- Java
- SQL
- R
- OOPS
- 📦 Frameworks
- Scikit-learn
- Hadoop
- PySpark
- R-Shiny
- Data Build Tool (DBT)
- 🛠️ Developer Tools
- MySQL Server
- MongoDB
- Snowflake Data Warehouse
- Tableau
- Power BI
- Microsoft Excel
- Microsoft Power Apps
- Microsoft Azure Cloud
- Azure DevOps CI/CD pipelines
- AWS Cloud
- ArcGIS Pro
- Jira
- Agile & Scrum methodologies
- Tkinter GUI
- OpenAI
- Git
- GitHub
- 📚 Libraries
- Numpy
- Pandas
- Matplotlib
- Seaborn
- 📊 Data & Machine Learning Skills
- ELT
- Data cleaning
- Data processing
- Supervised learning (regression, classification)
- Unsupervised learning (clustering, dimensionality reduction)
- Ensemble methods (random forests, bagging, boosting)
- Deep learning (neural networks)
- Time series analysis
- Predictive modeling
- Feature engineering
- Unit testing & automation
- Statistical inference
- Data visualization (2D/3D plotting, PCA biplots)
