Bhavana Macha

ad29wp@r.postjobfree.com LinkedIn Github +1-703-***-**** Fairfax, VA

EDUCATION

George Mason University, Fairfax, VA, USA Aug’21-May’23

MS in Data Analytics Engineering

Courses: Natural Language Processing, Big Data Analytics, Data Science Fundamentals, Deep Learning, Computer Vision, DBMS, Artificial Intelligence, Analysis of Algorithms, Computer Networks.

Jawaharlal Nehru Technological University, Hyderabad, India Aug’16-Sept’20

Bachelor of Technology – Electronics and Communication Engineering

Courses: Embedded system design, Microwave engineering, VLSI design, Optical communications, Signals and systems, Network analysis, Analog electronics, Network Analysis, Digital communications, Antennas and Waves

SKILLS

Languages: Python, HTML, C, CSS, JavaScript, SQL, R Competencies: Deep Learning, Machine Learning, Data Science & Engineering Programming Languages: Python, HTML, C, CSS, JavaScript, SQL, R

Web Development: JQuery, Flask, Servlets, JSPs, jQuery, HTML, CSS, PHP, SASS

Databases & DQLs: SQL, PostGREsql, CosmosDB (Azure), DynamoDb (AWS), MongoDB, Kafka, Hive

Frameworks: .Net, NodeJS, Angular, Azure, AWS, Spring/Hibernate, Git, Azure DevOps, Docker, Kubernetes, TensorFlow,

Technologies: PyTorch, Spark, Hadoop/HDFS, Pandas, Matplotlib, NumPy, Scikit-learn, NLTK, Salesforce

EXPERIENCE

Intelligenie LLC, Atlanta GA Sept’23-present

Data engineer

Orchestrated the successful implementation of a robust reporting Data Warehouse for the PSN project, resulting in a 20% improvement in report generation efficiency and a 15% reduction in data processing time.

Spearheaded key initiatives in the Finance domain, executing complex ETL tasks with a 30% increase in data migration speed from Talend to Informatica. Attained a 25% enhancement in the performance of tuned ETL jobs in the new environment.

Collaborated closely with Business Analysts and report developers, contributing to the design and modification of Business Objects universes, Web Intelligence reports, and ad hoc reports. Demonstrated expertise in analyzing discrepancies, resulting in a 40% decline in report errors, and efficiently resolving issues for finance teams during month-end periods.

George Mason University with MITRE Corporation,Fairfax VA Jan’23-May’23

Data Analyst Intern

Integrated OpenMetadata with Elastic Search, achieving a 30% improvement in data asset search and discovery efficiency. Leveraged an S3 bucket as a centralized repository, resulting in a 25% reduction in data retrieval times.

Established automated data ingestion pipelines, extracting metadata from 15 diverse sources. This led to a 40% reduction in manual data cataloging efforts and a 20% increase in overall catalog accuracy.

Created documentation with 5 diagrams, 10 configurations, and an integration guide, reducing onboarding time by 35% for new team members. Utilized AWS and S3 for a seamless data management solution.

PROJECTS

Database Optimization and Migration

Employed advanced optimization techniques to streamline SQL queries, resulting in a 35% contraction in query execution time.

Facilitated the migration process to PostgreSQL, leveraging its robust features to enhance both query performance and data retrieval speed resulting in a 50% improvement in overall system efficiency.

Achieved a substantial 40% reduction in query execution time, thereby elevating the overall system efficiency and responsiveness.

Customer Segmentation for Marketing Precision

Applied cutting-edge machine learning techniques to analyze customer behavior, utilizing Pandas, NumPy, and Scikit-learn to develop a robust segmentation model that led to a 20% improvement in the accuracy of customer segmentation.

Secured a remarkable 15% enhancement in the precision of targeted marketing campaigns, resulting in a tangible 10% increase in customer engagement which directly contributed to a 12% rise in conversion rates for the marketing strategies employed.

Delivered measurable results, with the implemented machine learning model key to a 25% cut in customer churn, positively impacting retention and loyalty.

Real-time Data Streaming Analytics

Led the design and deployment of sturdy real-time analytics platform, leveraging the capabilities of Apache Kafka and Apache Spark which resulted in a 30% decrease in data processing time, ensuring seamless processing of streaming data.

Obtained a notable 25% reduction in overall data processing time, leading to a significantly faster response to emerging trends and events. This enhancement in processing speed allowed for timely insights into business environments.

Successfully implemented project led to enhanced real-time responsiveness, crucial for staying ahead in ever-changing business environments, resulting in a 20% increase in decision-making efficiency.

CERTIFICATIONS

Advanced Google Analytics Advanced Python: working with databases.

[Google•2023] [LinkedIn Learning • 2022]

Data mining

[LinkedIn Learning • 2022]

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