Akshata Salunkhe

Tampa, FL ad3bvn@r.postjobfree.com LinkedIn +1-305-***-**** GitHub

EDUCATION

University of South Florida Tampa, FL

Master of Science Business Analytics and Information Systems Dec 2024(Expected) Skills and Technologies

Languages Python (NumPy, Pandas, Scikit-learn, Matplotlib, TensorFlow, Keras, Matplotlib, NLP, GenAI), C++, R, PyTorch, SQL (MySQL, NOSQL, Oracle, PostgreSQL). Cloud AWS (Lambda, Glue, S3, API gateway, SNS, SQS, Redshift), IBM Db2 on cloud Big Data Ecosystems HDP stack, Cloudera Stack, Hadoop, Apache Spark, MapReduce, Kafka, HBase, Impala, Hive, Pig, Sqoop, Oozie, Flume, Elastic Search, Cassandra, MongoDB Tech Stack Microsoft SQL Server, AWS, Airflow, Jupyter Notebook, Azure, DevOps, Visual Studio, Power BI, Tableau, R Studio, JIRA, Git, Microsoft Office: Excel (Pivot tables, VLOOKUP). Analytical skills ETL, ELT, Snowflake, Statistical analysis (linear models, multivariate analysis, clustering, timeseries, mixed model, and Bayesian methods), Machine Learning Algorithms (regression modeling, predictive and association modeling, forecasting, time series analysis), Agile Methodology, Six-Sigma WORK EXPERIENCE

Graduate Assistant University of South Florida Tampa FL Sep 2023-Present State of Tampa Region

• Elevated role to lead the Tampa Bay e-insights report, focusing on themes of affordability and talent pipeline comparing with other 19 metropolitan statistical areas in the United States.

• Extracted data through public data sources (Google Trends, Census, Bureau of Economic analysis, FRED) and cleaned and transformed raw dataset using Python, Excel, and R.

• Applied Tableau to create visually compelling data visualizations, aiding in presentation of quantitative assessments. Associate Software Engineer Eaton India Aug 2021 – Aug 2023

• Employed data acquisition and to derive valuable insights from historical datasets, establishing data pipelines for data acquisition, and implementing statistical analysis for predictive modeling and data projection.

• Contributed to process improvement initiatives, leveraging Six Sigma methodologies to reduce manual testing efforts by 60%. Executed automation for testing processes using C# in Ranorex Studio and Python scripts. paraphrase

• Attained Six Sigma Green Belt certification after completing DMAIC training: deployed data-driven methodologies resulting in a 60% reduction in testing time and a 70% reduction in defects.

• Spearheaded adoption of Agile Development Methodology, resulting in a consistent stream of new product releases each year and a 25% reduction in time-to-market.

IOTIOT Data Analyst Intern India May 2020 –Jul2020

• Led the end-to-end design, implementation, and automated deployment of a distributed system dedicated to collecting and processing log events from diverse sources.

• Designed and managed data schema, internal data warehouses, and SQL/NoSQL databases. Maintained metrics, reports, and dashboards, leading to a 20% increase in distribution center operational efficiency through insightful visualizations. PROJECTS

Data Flow Harmonizer

• Implemented a scalable real-time data pipeline on AWS, utilizing Apache Spark on EMR.

• Designed and executed ETL pipeline with AWS Glue, Python, and Spark, extracting, transforming, and loading data into S3. Automated schema discovery with Glue crawlers

• Enabled connectivity between AWS Athena and Quick Sight to enable easy querying and visualization of data. Demonstrated the process of running SQL queries on the Glue catalog using Athena and utilizing Quick Sight for creating visualizations, offering insights into the Spotify dataset. Anomaly Detection in Credit Card Transactions

• Developed detection system using a fusion of Random Forest and Gradient Boosting algorithms in machine learning. Integrated various transaction features, optimizing for anomaly detection and behavioral pattern analysis.

• Ensured precise fraud detection with rigorous system testing ensuring high precision in flagging false transactions.

• Outperformed Logistic Regression and SVM, providing an effective solution to enhance the safety of financial transactions.

• Developed and implemented continuous monitoring mechanisms to adapt to evolving fraud patterns, further fortifying the security of credit card transactions.