Machine Learning Data Engineer

JAHANAVI

561-***-**** — # ******.***********@*****.*** — ï www.linkedin.com/in/jahanavipatari — § https://github.com/jahanavipatari Summary —

Skills

Programming Python (scikit-learn, numpy,

pandas),SQL,Java, MATLAB

Database MYSQL,PostgreSQL,Oracle

LivesSql,MangoDB,Snowflake

Cloud Platform AWS,AZURE,Google Cloud

Data visualization Matplotlib,Seaborn,Tableau, PowerBI Machine Learning AI,NLP,Deep, Reinsforcement learning Linear and Logistic Regression,Gradient Boosting,

Neural Networks

Project Managment Devops,Building ETL Pipelines Agile Methodology,Atlassian Jira

Experience

Exela Technologies, Florida, USA September 2024 – MAay 2025 Florida Atlantic University Technical Support Data engineer

– Streamlined data flow management by optimizing ETL pipelines for efficient data extraction, transformation, and loading. Collaborated with cross-functional teams to enhance IT processes and ensure data security. Focused on building scalable, high-performance solutions using cloud technologies like AWS. This experience was influenced by my prior role, where I streamlined mailroom processes, improving sorting, distribution, and documentation. The skills developed in managing large volumes of data contributed to the efficiency and productivity improvements. AON, India January 2021 – August 2023

Data Engineer

– Utilized microservices architecture with RESTful APIs, Flask, Django, SQLAlchemy, Pandas, Scikit-learn, and NumPy for efficient data processing and machine learning. Performed advanced analysis using Excel features like pivot tables and VLOOKUP, and built ML models using reinforcement learning, TensorFlow, and PyTorch for NLP, image recognition, and predictive tasks. Applied machine intelligence (MI) to develop AI-driven systems, enhancing automation and scalability. Implemented the Model-View-Controller (MVC) pattern with Django to ensure scalable, maintainable web applications. Managed deployments of cloud-native applications using AWS services like Lambda, EC2, S3, DynamoDB, and API Gateway. Created data visualizations with Power BI and Tableau, and optimized databases using PostgreSQL, MongoDB, and LIVE Oracle. JKYM Enterprises PVT LTD,Noida, India September 2019 – December 2020 Software Developer

– Developed and implemented business logic using Python, designed robust business intelligence (BI) and ETL solutions, and integrated diverse data sources into a centralized data warehouse for seamless analytics.

– Orchestrated the development of scalabledata pipelines, optimizing data flow and reducing processing costs by 25%.

– Directed the deployment of machine learning models, reducing false positives in fraud detection by 40%.

– Optimized ETL workflows, reducing data ingestion time by 30% and improving data availability.

– Led end-to-end software testing using Selenium, TestNG, and API automation, ensuring a 99.9% uptime of critical applications.

– Optimized ETL (Extract, Transform, Load) processes, reducing the data processing time by 30%.Implemented Data mining techniques, uncovering key insights that informed business goals. Education

Florida Atlantic University August 2025

Master of Science in Data Science and Analytics

SunderDeep Engineering College, India

Bachelor in Computer Science

Industrial Training

Python Full Stack, DUCAT (DJANGO and React Js), Noida, India Intern

National Institute of Electronics and Information Technology, Kanpur, India Trainee

MCN Solutions, Noida, India

Summer Intern

Academic Projects

Morphological Matching with GUI for Image Analysis Project

– Morphological matching with a Tkinter GUI for querying visually similar images using Python and OpenCV. The system applies erosion, dilation, opening, and closing operations, utilizing distance metrics for similarity measurement. E-Commerce-Product-Prediction-Project

– This project predicts on-time e-commerce deliveries with 85% accuracy, analyzing shipping, processing times, and customer location 40% impact. It also examines customer behavior patterns, improving delivery prediction by 30%. Crime Data Analysis and Neural Network Prediction Project

– This project predicts crime occurrences using historical data (2018–2024) and a neural network model (LSTM) for accurate forecasting. It involves data cleaning and optimization, enhancing predictive insights for crime prevention. Certifications/Achievements

IBM Data Science Professional Certification

– Designed to learn with the essential skills and knowledge in data science, covering topics as data analysis, machine learning, and statistical analysis, using tools like Python, SQL, and various data science libraries. Introduction to Generative AI with GPT

– The ”Introduction to Generative AI with GPT” course explores the fundamentals of generative AI models. It covers key concepts, applications, and hands-on experience in creating and deploying AI-drivensolutions using GPT technology. Python Data Analysis

– The Python course covers essential concepts, including working with lists and ranges for storing and iterating over data. Publications

Human Activity Recognition from Wearable Sensor Data Using Self- Attention SpringerLink Proceedings of Fifth International Conference September 2023 Volume-2

– The research paper ”Human Activity Recognition from Wearable Sensor Data Using Self-Attention” explores self-attention mechanisms for classifying human activities using data from accelerometers, gyroscopes, and other wearable sensors. This approach enhances accuracy and robustness in activity recognition, benefiting applications in healthcare, fitness tracking, and smart home systems.

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