I'm a Data Analyst with experience in data engineering, system integration, and cloud-based solutions. I specialize in designing and implementing scalable data pipelines, optimizing ETL processes, and leveraging cloud platforms to deliver data-driven insights. I have a Master of Science degree in Applied Data Science from Indiana University, and I am passionate about data analytics, machine learning, and cloud computing. I'm actively seeking opportunities to contribute to impactful projects as a Data Analyst or Data Engineer.
When I'm not working with data, I love learning new technologies, spending time with animals, and sneaking in a chapter or two of a fictional novel during breaks.
- Languages: Python, R, SQL, Java, C
- Big Data Tools: Apache Spark, Hadoop, Hive, Kafka, Airflow
- ETL Tools: Talend, SSIS, Apache NiFi
- Databases: PostgreSQL, MySQL, MongoDB, Snowflake, MS Access
- Data Visualization: Tableau, Power BI, Plotly, Excel
- AWS: S3, Redshift, Lambda, EMR
- GCP: BigQuery, Dataflow
- Microsoft Azure: Data Factory, Synapse Analytics
- Tools: Jira, Confluence, Lucidchart, MS Project
- Methodologies: Agile, Scrum, Waterfall
- Career Essentials in Data Analysis by Microsoft
- Microsoft Azure Data Fundamentals
- Data Analytics with Microsoft Fabric
- HackerRank SQL (Intermediate)
- Atlassian Agile Project Management Professional
- Tools: Python, NLP, Data Visualization
- Description: Applied NLP techniques to analyze customer feedback and classify sentiment as positive, negative, or neutral. Achieved 79% accuracy using machine learning models (Naive Bayes, Decision Tree, KNN).
- Tools: Python, Machine Learning, Streamlit
- Description: Developed a web app to predict real estate sales using Linear Regression, Random Forest, and Gradient Boosting. Enabled city-specific and overall sales predictions with user input.
- Tools: Shell, Airflow and Kafka
- Description: Designed and implemented ETL pipelines to integrate data from multiple sources into a centralized data warehouse, improving data quality by 25%.
- Coursera: Link
- Led data analysis and visualization projects for small-scale businesses, managing 100+ product datasets to deliver actionable insights.
- Designed and implemented ETL processes using Talend and SSIS, reducing integration time by 30%.
- Optimized SQL queries and database performance, reducing query execution time by 25%.
- Automated testing and deployment processes using CI/CD pipelines with Selenium and Python.
- Transitioned 5+ releases from manual to automated processes, reducing manual testing time by 20 hours per week.
- Led end-to-end functionality and automation testing for a sub-product of British Technologies project.
- Won the team’s Bravo Award for attention to detail and resolving critical issues.
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Master of Science in Applied Data Science | Indiana University | Jan 2023 – May 2024
- Coursework: Data Analytics using Python and R, Data Visualization, Deep Learning, Cloud Computing, DBMS, Statistics
- Dean’s Scholarship Recipient
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Bachelor of Engineering in Aeronautical Engineering | Mangalore Institute of Technology and Engineering, VTU | Aug 2012 – Aug 2016
I'm always open to collaborating on interesting projects or discussing new opportunities. Feel free to reach out!
- 📧 Email: [email protected]
- 🔗 LinkedIn: LinkedIn Profile
- 🔗 Portfolio: Portfolio