Machine Learning Data Analysis

Anup Banasavalli Hiriyannagowda

New York 716-***-**** ****.***********@*****.*** linkedin.com/in/anup-bh SUMMARY

Experienced machine learning professional with expertise in data analysis, visualization, and full-stack development. Seeking opportunities in software development and Data related fields. EDUCATION

Masters in Artificial Intelligence Aug 2022 - Jan 2024 University at Buffalo, State University of New York, NY 3.3 GPA coursework: Machine Learning (ML), Big data, Biometrics image analysis, Computer vision, Deep learning (DL), Pattern recognition, Robotics algorithms, Numerical Math, Natural Language Processing (NLP), Data structures Bachelor of Engineering in Electronics and Communication Aug 2017 - July 2021 CMR Institute of Technology, Bangalore, India

coursework: Data structures, Operating systems, VLSI, Microcontrollers, IOT, Signals, Computer Networks TECHNICAL SKILLS

Programming: Python (SciPy, numpy, Scikit-learn), Java, JS, C, HTML, CSS Frameworks: TensorFlow, PyTorch, React, Nodejs, Flask Databases: MySQL, SQLite, PostgreSQL, Relational databases(RDBMS), AWS Software: VScode, Jupyter Notebook, Github, ROS, Linux, MATLAB Others: Microservices, Debugging, Docker, Spark, Hadoop, Agile Methodology, MLOps PROFESSIONAL EXPERIENCE

Data Scientist - Jersey STEM, New Jersey Feb 2024 – Present

• Conducted exploratory data analysis (EDA) using Python and data visualization tools, uncovering trends and patterns

• Improved AI model training accuracy by 12% through data wrangling and pseudo-labeling, as validated by performance metrics

• Developed models using supervised and unsupervised algorithms for detecting anomalies and outliers

• Maintained and updated necessary datasets to ensure data integrity and accuracy Graduate Teaching Assistant - University at Buffalo, Buffalo, NY Sep 2023 – Dec 2023

• Assisted a class of 40 students with ML concepts like Regressions, Clustering, NLP and Computer Vision

• Developed auto-grading scripts for a faster grading and engaged in code review sessions Data Engineer - Favordrop, Buffalo, NY Jun 2023 – Aug 2023

• Developed sales forecasting models with improved prediction accuracy by integrating demographic and competitive datasets using Python and SQL Server

• Reduced manual work by 30% and saved operational time by implementing automated data retrieval and cleansing process. Developed an effective data pipeline for extract, transform, and load (ETL) processes.

• Performed A/B testing and used KNN, statistical analysis, and neural networks to predict client preferences with high accuracy, enhancing customer satisfaction through personalized recommendations. Project Engineer - Wipro, India Dec 2021 – Jul 2022

• Developed and maintained RESTful APIs using Python and Flask to enable front-end and back-end communication, ensuring dynamic and real-time updates in user interfaces

• Implemented APIs to integrate third-party services, ensure security and access control, and support microservices architecture, fostering reusability, modular design, and cross-platform compatibility

• Managed and optimized MySQL database schemas, and developed data analytic to improve audit efficiency ACADEMIC PROJECTS

Toxicity Detection and Classification

• Led the creation of a machine learning project detecting toxic comments from social media interactions.

• Employed feature engineering, traditional ML models, and LSTM for robust toxicity detection

• Deployed the system with Flask and Docker, and created a user interface for easy user input Water Management System

• Integrated IoT devices and water flow rate sensors for real-time monitoring and control

• Uploaded data to a centralized database, built React UI for usage monitoring and billing analysis

• Enhanced the system by applying time series analysis for the prediction of future demands

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