Bhumika Murali

New York +1-669-***-**** ad2x6r@r.postjobfree.com www.linkedin.com/in/bhumika-murali EDUCATION

Master of Science(M.S) in Computer Science, Syracuse University – NY August 2022 - May 2024

• Courses - Design and Analysis of Algorithms, Introduction to Database managed systems, Introduction to Machine Learning, Social Media and Data Mining, Computer Architecture, Structural Programming and Formal methods, Android programming, Operating System, Object Oriented design, Data Analysis and Decision Making TECHNICAL SKILLS

• Languages: Python, Java, Kotlin, SQL, JavaScript, HTML, CSS

• Data Science Tech: Machine Learning, Deep Learning, Natural Language Processing, Data Analysis & Visualization

• Databases & Warehouses: My-SQL, MongoDB, MS-Access, Snowflake

• IDE: Visual Studio, IntelliJ, Anaconda(Jupiter Note Book), Android Studio

• Competencies: AWS, S3, Lambda, ECS, REST API, Git

• Visualization Tools: Tableau, Power BI, Qlik, Advanced MS Excel SOFT SKILLS

• Communication Problem-solving Analytical thinking Curiosity Attention to detail Leadership Team work Time management EXPERIENCE

Data Science and Analytics Intern, Abacus Insights,Inc – New York, NY October 2022 - March 2023

• Developed a functional solution utilizing AWS services including Step Functions, EMR, CloudWatch, and SNS, in conjunction with Slack integration to effectively dispatch notifications regarding job fulfillment.

• Enhanced execution and query retrieval time from days to ~40 minutes into Abacus Insights database using the Transcend on-premise ecosystem leading to an overall improvement of around 95%.

• Resolved customer-reported issues documented in JIRA tickets by employing Snowflake, AWS, GitLab, and Postman environments

• Implemented scalable ETL pipelines for integrating data from 3 major sources into Snowflake, reducing operational costs by 57% through effective Data Analysis and Quality tests.

• Created visualizations and reports using MS Excel VBA, Tableau & Power BI to present data analysis results to stakeholders, help them understand complex concepts in a clear and intuitive manner. Software Engineer, Bosch Global Software Technologies – Bangalore, India August 2019 - July 2022

• Engaged with fellow team members to collaborate on various engineering functions to assess hardware-software interfaces and operational performance criteria while contributing to the system's design.

• Furthermore, actively engage in all stages of the software development life cycle, encompassing requirements analysis, design, implementation, integration, and testing of embedded software to facilitate real-time control.

• Interfaced with potential end-users and attended meeting during entire tenure of 2.5 years to understand existing blockades and possible improvements to be introduced.

• Designed and developed a software quality inspection prototype, resulting in a significant elimination of human errors by 100%.

• Analyzed scheduling order of processors and unit testing for component interfaces for making sure zero impact during runtime and executed a run-time measurement to avoid core overflow beyond 75% PROJECTS

Analyzing Mobile Popularity In Walmart Using Twitter Data

• Identified the most popular brand of mobile phones in New York and California: Samsung was the most popular brand of mobile phones in New York, with a market share of 35%. Apple was the most popular brand in California, with a market share of 40%.

• Analyzed 10 million tweets: The analysis was conducted on a dataset of 10 million tweets that were geotagged to New York and California.

• Visualized the findings through interactive dashboards: The findings were visualized through interactive dashboards that allowed stakeholders to drill down into the data and explore the trends. Database Project on Human Resource Management

• Designed, implemented, and tested an HR database in 2 weeks: The database was designed using SQL.It was implemented on a MySQL server. The database was tested with a variety of queries and data sets.

• Designed and managed diverse database tables, optimizing HR workflows for Admin, Candidate, Documents, Application, and more, contributing to the seamless talent acquisition and onboarding processes which reduced the time to onboard new employees by 50%:

Flight Delay Prediction: ML with Weather Integration

• Applied machine learning techniques and proficiently employed data processing methods to analyze and train flight delay prediction models, with a focus on the Random Forest Regressor for superior accuracy.

• Demonstrated expertise in comprehensive data analysis, including the integration of extensive weather data through API, resulting in a robust dataset for training and refining predictive models

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