Information Systems Machine Learning

Pavan Teja Allenki

Tampa, FL ***** 813-***-**** ********@***.*** https://www.linkedin.com/in/pavan-allenki/ Professional Summary

Highly motivated Business Analytics and Information Systems Grad student with 5+ years of experience in Data engineering. Proven ability to cooperate with cross-functional teams, communicate effectively, and deliver high-quality outcomes.

Education

Master of Science in Business Analytics and Information Systems Expected – May 2025

(MUMA College of Business, University of South Florida, Tampa, FL) Courses: Data Mining with Python, Database Management, Data Visualization, DataScience Programming Bachelor of Engineering in Electronics and Communication Engineering Aug 2015–June 2019

(Keshav Memorial Institute of Technology, Hyderabad, TL, India) Technical Skills:

Tools: Excel, Jupyter Notebook, Github, CICD Tools, MatLab, OpenCV, Office 365, Tableau, Power BI, Tensor Flow.

Analytics : Machine Learning, Linear & Non Linear Programming, Big Data, AWS.

Python Skills : NumPy, Pandas, Scikit Learn, Matplotlib, PySpark, PyTorch.

Programming & Scripting : Python, JAVA, UNIX-Shell, R, C, SAS.

Testing : Selenium, ROBOT FrameWork, TestNG, A/B Testing.

Databases: SQL Server, MySQL, Postgres, Mongo DB, Snowflake. Work Experience:

ML Engineer, Zscaler, Hyderabad, India Feb 2022-July 2023

Created and analyzed business requirements to compose functional and implementable technical data solutions.

Examined customer performance indicators from the client's daily updated data using SQL. Utilizing Excel and Tableau, I reported and visualized these data results to spot significant trends and insights that inform the client's decision-making.

Built and deployed machine learning models for various applications, including natural language processing, computer vision, and recommendation systems.

Collaborated with data scientists and data engineers to create end-to-end machine learning pipelines, from data collection and preprocessing to model training and deployment.

Utilized deep learning frameworks like TensorFlow and PyTorch to develop state-of-the-art models for image classification and text generation.

Improved model performance by optimizing hyperparameters, implementing feature engineering techniques, and conducting cross-validation.

Ensured model scalability and efficiency for production use through containerization and integration with cloud-based services. Data Engineer, TCS, Hyderabad, India Aug 2019-Jan 2022

Designed, implemented, and maintained ETL pipelines to ingest, transform, and load large datasets into a data warehouse, resulting in a 30% reduction in data processing time.

Collaborated with data scientists and analysts to optimize SQL queries and improve query performance, leading to faster report generation and more efficient data analysis.

Managed and administered the Hadoop cluster, ensuring the security and availability of data for the entire organization.

Developed data validation and quality control processes to identify and rectify data anomalies, resulting in higher data accuracy and reliability.

Implemented data governance policies and best practices to ensure compliance with data security and privacy regulations. Engineering Intern, OpenText, Hyderabad, India Aug 2018-Jul 2019

Conducted exploratory data analysis to identify trends, patterns, and anomalies in large datasets, leading to actionable insights that improved business decision-making.

Designed and developed interactive dashboards and reports using Tableau, enabling stakeholders to monitor key performance indicators and track business metrics in real-time.

Collaborated with business teams to define key metrics and KPIs, and provided regular reports and data-driven recommendations to optimize processes and achieve business goals.

Utilized statistical and machine learning techniques to develop predictive models for customer churn, demand forecasting, and fraud detection, resulting in a 15% improvement in accuracy.

Conducted A/B tests and analyzed the results to make data-driven recommendations for website and product enhancements. Achievements:

Monthly Performance Award - Secured for the performance of work in Zscaler in the 3rd month after joining.

Special Initiative Award - Got this award for providing new improvements which gave best performance for tool in TCS.

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