Data Science Machine Learning

Giri Merugu

******@***.********.*** +1-475-***-**** West Haven, CT https://www.linkedin.com/in/giri-merugu-371b85141 https://github.com/Girim9912

INTRODUCTION:

● Bringing 1.8 years of comprehensive experience in data science and analytics, proficient in Python, SQL, Java, and a diverse range of data engineering and machine learning technologies, with a strong focus on cloud computing and advanced AI applications.

● Expertise spans data pipeline optimization, predictive models development, and research-driven analytics, demonstrating a proven track record of enhancing computational efficiency and delivering innovative technological solutions. EDUCATION:

Master of Science in Data Science Awarded Scholarship University of New Haven, CT, USA Aug 2023 - Dec 2024 Relevant Coursework: Cloud Computing, Big Data Analytics, AI Ethics GPA:3.37 Bachelor of Technology Jawaharlal Nehru Technological University, India Apr 2018 - Aug 2021 EXPERIENCE:

Graduate Research Assistant – University of New Haven New Haven, CT Jan 2023 – Dec 2024

● Designed a GPU resource allocation platform, reducing idle GPU time by 40% and accelerating training cycles by 15%. Developed Power BI dashboards to monitor GPU utilization, improving real-time analytics.

● Optimized AWS-based data pipelines, reducing errors by 45%. Collaborated with research teams to enhance computational infrastructure and integrate analytical tools.

Data Analyst Tata Consultancy Services, Bengaluru Dec 2021 - July 2023

● Conducted HR data analysis to identify trends and inform strategic decision-making, increasing project assignment efficiency by 40%. Engineered scripts, stored procedures, and triggers to standardize data reconciliation processes.

● Implemented robust database schemas for both relational and non-relational systems to ensure data consistency and enhance analytics capabilities. Collaborated effectively and efficiently with a diverse team of 10 Engineers.

● Executed comprehensive data validation and governance protocols across pipelines, elevating data quality and reducing errors by 60%. Refined Spark job configurations to improve pipeline efficiency, reducing execution times by 35%.Processed over 1TB of daily data for financial risk monitoring.

Software Engineer – Data Focus J-Spiders Pvt. Ltd. Bengaluru Aug 2021 – Dec 2021

● Maintained SQL-based data retrieval systems using Oracle. Crafted responsive full-stack applications using React, Angular, and RESTful APIs.

● Optimized database schemas and enhanced performance through indexing and caching. Managed web application deployment on Apache web server.

PROJECTS:

Sparkify User Behavior Analysis Aug 2023 - Dec 2023

● Constructed real-time analytics dashboards for a music streaming platform using PySpark. Extracted large-scale log data from AWS S3 to uncover user behavior insights. Visualized analytical findings in Power BI to support business decision-making. Indoor Object Detection using YOLO & Detectron2 Jan 2024 - May 2024

● Optimized a real-time object detection pipeline using TensorFlow and CUDA, accelerating model inference speed by 4x on edge devices; enabled seamless integration with existing robotics systems. Achieved 92% accuracy in identifying 10 distinct objects within indoor environments using a deep learning model and hyperparameter optimization. SKILLS:

Programming Languages : Python, Seaborn, Flask

Data Engineering: Pandas, Scikit-Learn,Numpy, Pandas, SciPy, TensorFlow, PyTorch, Matplotlib, GENSIM, Seaborn Databases: MongoDB, Neo4j

Visualization Tools: Microsoft Power BI, Tableau

Statistical & ML Techniques:Linear Regression, Logistic Regression, Decision Trees, SVM, Random Forest, Vision Transformers, CNN, Naive Bayes, KNN, RNN, Reinforcement Learning, NLP, Large language Model

(LLM), Computer Vision, AB Testing, Hypothesis Testing, Deep Learning. Cloud & DevOps: AWS, Git, Jenkins, Grafana

ACHIEVEMENTS:

● Conducted research on Object detection models that are best suited for in domestic settings such as Yolo5, Yolo8, Yolo11, Detectron2, and MobileNetSSD and probability comparison between the models.

● Developed NER models for information extraction from unstructured text data, achieving 87% accuracy. Implemented RAG solutions combining retrieval-based systems with generative AI for enhanced information extraction.

Contact this candidate