Machine Learning Data Science

HANISHA KARRI Gmail +1-425-***-**** Seattle, WA LinkedIn GitHub Portfolio

SKILLS

Scripting and Programming: Python (NumPy, Pandas, Matplotlib, SciPy, SciKit-Learn, Altair), R (dplyr, tidyr, ggplot2, e1071, Keras), Microsoft SQL Server, MySQL, C#/.NET

Software: Visual Studio, Visual Studio Code, Project Jupyter, Git, Azure DevOps Server, Jira, Postman, GIS (ESRI ArcGIS), Tableau, Selenium, R Studio, Excel, Docker

Technical: machine learning and statistical modeling (linear/logistic/polynomial regression, LDA, QDA, Naive Bayes, KNN, ridge regression, the lasso, PCA, PLS, SVD, tree-based methods, SVM, deep learning), big data analytics (Hadoop, Spark, Hive), AWS (S3, EMR, DynamoDB, Lambda, ECR), hypothesis testing, data cleaning, database management, probability, geospatial analysis Interpersonal: project management (budgeting, planning, problem solving, decision making), client coordination, cross-organization collaboration, writing, presenting, training, peer mentoring, active listening, critical thinking, attention to detail WORK EXPERIENCE

Washington Brewers Guild Seattle, WA January 2024 – May 2024 Data Science Researcher

• Capstone project: Consolidated fragmented data on craft breweries in Washington State for Washington Brewers Guild

(WBG)

• Expertise in consolidating fragmented data on craft breweries in Washington State Seattle University Seattle, WA October 2023 – January 2024 Graduate Teaching Assistant

• Assist Dr. Elio Zhang in guiding and mentoring approximately 30 graduate students in the Foundations of data Science course.

• Provide support with inquiries and grading, emphasizing the methodology for identifying, defining, and solving data-driven problems using Python Collab notebooks and ML models. MedTourEasy New Delhi, India July 2023 – August 2023 Data Analyst Intern

• Developed the project entitled ‘Analyze Death Age Difference of right Handers with Left Handers’

• Employed Tableau and Python as data analytics tools to discern patterns and trends in healthcare data, delivering valuable insights to enhance patient care and streamline operations. Danske IT Bangalore, India July 2018 – March 2022 Software Engineer (February 2019 – March 2022)

• Utilized Python libraries and the Anaconda environment to build machine learning models including logistic regression, customized for detecting and mitigating fraudulent transactions in the finance sector and achieved an 80% reduction in fraudulent activities.

• Developed efficient and scalable code using the .NET framework, emphasizing best practices for software development to ensure maintainability and performance optimization.

• Utilized Azure Cloud for designing and deploying applications, harnessing its capabilities to create secure and scalable solutions, seamlessly integrating services for an open banking application.

• Engineered low-level software for embedded systems, ensuring successful integration of hardware components and efficient communication protocols.

• Managed monitoring and analysis of applications logs using Kibana, identifying issues and bugs during the testing phase, leading to a 40% increase in mobile application customer ratings by handling a complete feature for transactions. Associate Software Engineer (July 2018 – February 2019)

• Significantly contributed to a 10-member development team, enhancing workflow processes, and boosting productivity.

• Developed a sophisticated open banking application for 8 banks using C#, ensuring secure financial transactions.

• Implemented 5 microservices and developed new and updated existing ASP.NET Web APIs.

• Wrote technical reports, documentation, and test plans for clients and internal use. Seattle University Seattle, WA September 2022 – December 2024 Master of Science in Data Science

Relevant Coursework: Machine Learning I and II, Programming for Data Science, Probability, Big Data Analytics, Data Policy + Ethics Jawaharlal Nehru Technology University Andhra Pradesh, India September 2014 – May 2018 Bachelor of Science in Information Technology, minors in Computer Science and Mathematics/Statistics

Contact this candidate