Data Analyst Machine Learning

Mythresh Neerugattu

Data Analyst

Location: MI Phone: 313- 444-0182 Email: ********.******@*****.*** LinkedIn GitHub Portfolio Summary

Detail-oriented Data Analyst with 2+ years of hands-on experience in data analytics, machine learning, and AI-driven solutions across financial and enterprise environments. Proficient in Python and SQL for end-to-end data processing, statistical analysis, and predictive modeling. Proven expertise in extracting insights from complex datasets, developing ML models, and implementing NLP pipelines with LangChain, Statsmodels, and LLMs. Adept at visualizing key metrics using Power BI and Tableau, optimizing reporting workflows and supporting data-driven decision-making. Experienced in designing ETL pipelines, deploying solutions on cloud platforms (AWS, GCP), and collaborating in Agile teams to deliver scalable, impactful data solutions. Professional Experience

Data Analyst / AI Engineer JP Morgan Chase & Co., MI, USA Jun 2024 – Current

Spearheaded a financial analytics project to forecast customer churn and delinquency trends using machine learning models (XGBoost, Logistic Regression, Random Forest), increasing predictive accuracy by 22%.

Processed, analyzed, and modeled high-volume claims and transactional data using Python and crafted robust SQL queries, views, and stored procedures in MySQL and PostgreSQL, driving seamless data integration with Tableau and Power BI.

Visualized key loan performance KPIs through interactive dashboards in Power BI, enhancing stakeholder visibility and reducing manual reporting efforts by 40%, enabling real-time tracking of loan defaults and customer behavior patterns

Developed and validated supervised learning models using Scikit-learn, TensorFlow, and Statsmodels to enhance credit scoring and loss estimation across portfolios; improved data integrity with unit testing and data validation scripts, achieving 80% reporting accuracy.

Deployed LLM-based summarization tools via LangChain to analyze customer support tickets and financial communications, cutting manual effort by 30%; built custom NLP pipelines for entity extraction and risk term classification to support compliance and legal audit processes.

Engineered automated ETL pipelines using Python, VBA, and SQL, standardizing data ingestion and reducing data cleansing time by 50%. Created a centralized Data Dictionary and metadata repository in Excel and PostgreSQL, enhancing data governance and supporting internal audit compliance. Data Analyst Dell Technologies, India Jun 2021 – Jul 2022

Led data-driven capacity planning projects by applying Python (Pandas, NumPy, Matplotlib, SciPy) for predictive modeling and visual reporting, boosting forecasting accuracy and executive decision-making.

Implemented ML algorithms (Random Forest, XGBoost) on system performance data, identifying resource bottlenecks and increasing infrastructure utilization by 20%.

Executed advanced SQL queries on SQL Server and data warehouses to extract, transform, and analyze operational data for performance profiling across business units.

Designed and deployed interactive dashboards in Tableau to monitor KPIs like system uptime, support ticket trends, and SLA compliance, reducing manual reporting by 40% and increasing business transparency.

Developed classification models using Scikit-learn to predict service request urgency, leading to a 15% improvement in ticket prioritization; leveraged regression models and time series forecasting to optimize system usage and plan cost-effective infrastructure upgrades.

Technical Skills

Programming & Scripting: Python (Pandas, NumPy, Scikit- learn, TensorFlow, Keras, StatsModel), SQL, Shell, R, PySpark

AWS & Cloud: AWS Glue, AWS Lambda, S3, EC2, RDS, GCP (BigQuery), Azure

ETL & Data Pipelines: AWS Glue, Apache Spark, Airflow, dbt, SSIS, Talend

Visualization & BI: Tableau, Power BI, QuickSight

(familiarity), Matplotlib, Seaborn

Databases: MySQL, PostgreSQL, SQL Server, Oracle, MongoDB, Snowflake

DevOps & Tools: Git, Docker, Kubernetes, Terraform, Linux.

Soft Skills: Analytical Thinking, Problem Solving, Collaboration, Customer Focus, Communication

Education

University of Michigan Dearborn, MI

Master of Science in Data Science Aug 2022 - Apr 2024 Dayananda Sagar University Bangalore, India

Bachelor of Technology in Electronics and Communication Engineering Jun 2018- Apr 2022 Projects

GIF Animation Generator using Streamlit and AI – [GitHub]

• Built a real-timeAI-driven systemusingGPT-4andDALL-E to generate customGIFanimationsviaStreamlit. Conversational Chatbot with LLM and RAG – [GitHub]

• Developed a domain-specific chatbot leveraging Retrieval-Augmented Generation (RAG) and semantic search with FAISS. Dog Breed Classification: Transfer Learning vs. CNN – [GitHub]

• Designed and compared deep learning models (TensorFlow, Keras) for accurate dog breed classification. Traffic Sign Classification – [GitHub]

• Created a CNN-based traffic sign recognition model using OpenCV and TensorFlow for image classification tasks. Crop Prediction System Using Machine Learning – [GitHub]

• Built a crop recommendation engine with Decision Trees, Random Forest, and XGBoost based on environmental data.

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