Machine Learning Project Manager

YASWANTH DASARI

LinkedIn 314-***-**** Yaswanth.com ************************@*****.***

SUMMARY Machine Learning Engineer with hands-on experience in data analysis, machine learning algorithms, and deep learning systems. Strong foundation in Python, TensorFlow, PyTorch, and Scikit-learn. Skilled in developing, training, and deploying ML models with cloud platforms and open-source tools. I am proficient in mathematical concepts such as linear algebra, calculus, and probability theory. I am passionate about leveraging AI to solve complex problems and drive innovation. EDUCATION Masters in information systems Saint Louis University Expected Graduation: May 2025 Electronics & Communications Engineering VLITS Graduated: May 2022 EXPERIENCE Project Manager Internship at Excelerate, Saint Louis University (08/2023 – 09/2023)

Led cross-functional teams to successfully plan and execute a global virtual event, ensuring alignment with stakeholders’ goals through effective communication and collaboration.

Applied SMART goal-setting techniques to define clear project objectives and track progress, ensuring timely delivery of tasks. Utilized the 5 Dysfunctions Model to identify and resolve team collaboration issues, improving overall team productivity and cohesion.

Created and presented project updates using the Elevator Pitch format, aligning project vision with key stakeholders.

Developed brainstorming and nominal group facilitation techniques to gather innovative ideas and streamline decision-making.

Leveraged influencing without authority techniques to drive cross-team collaboration and ensure the project remained on schedule.

Project Engineer Wipro (05/2022 - 01/2023)

Gained proficiency in Python for automation testing.

Applied Selenium WebDriver for web application testing.

Collaborated cross-functionally to ensure product quality and engaged in the full testing life cycle. CEO & Co-founder Xgenie Soft Pvt Ltd (05/2021 - 11/2021)

Founded and led XGenie Soft, specializing in machine learning solutions, data analysis, and AI-driven digital marketing strategies.

Developed and deployed data-driven models to optimize digital marketing campaigns, increasing engagement rates by 25%.

Led a team to deliver AI-powered predictive analytics and ML-based automation solutions, helping clients enhance decision-making and efficiency.

Implemented machine learning algorithms for customer segmentation and trend analysis, improving campaign targeting and reducing ad spend by 15%.

PROJECTS

Titanic Survival Prediction Using Machine Learning Built a logistic regression and Naive Bayes model to predict Titanic survivors based on age, ticket class, and number of family members onboard.

Deep Learning for Image Classification (Coursera) Developed a Convolutional Neural Network (CNN) using TensorFlow and Keras to classify images from the CIFAR-10 dataset, achieving 92% accuracy.

Customer Churn Prediction (Kaggle)

Used supervised learning algorithms to predict customer churn for a telecommunications company, improving retention rates by 15%.

Sentiment Analysis with NLP

Implemented an NLP model to classify the sentiment of customer reviews using word embeddings and RNNs, achieving high accuracy on unseen data.

Aerial Image Segmentation with PyTorch

Developed a segmentation model using a pre-trained convolutional neural network (U-Net) for aerial image segmentation, applying data augmentations and training loops.

Data Visualization and EDA with Seaborn

Performed exploratory data analysis and visualized box office revenue data using Seaborn, providing insights for predictive model development.

Multi-Task Learning with Keras

Built multi-output models to solve multiple tasks simultaneously, using shared layers and skip connections, increasing efficiency in model training.

Small Robots with Arduino Uno

Developed and programmed small-scale robots using Arduino Uno, showcasing proficiency in hardware integration and automation. (Small Robots with Arduino Uno)

Designed robots to perform tasks such as obstacle avoidance, line following, and basic sensor-based automation. TECHNICAL SKILLS Programming Languages: Python, C++, MATLAB, R

Machine Learning: TensorFlow, PyTorch, Scikit-Learn, Keras Data Preprocessing: Feature Scaling, Handling Missing Data, Feature Extraction Deep Learning: Neural Networks, CNNs, RNNs, Transfer Learning Mathematics: Linear Algebra, Probability & Statistics, Calculus, Eigenvalues & Eigenvectors, PCA Statistical Analysis: Statistical Inference, Regression Models, Bayesian Statistics, Data Visualization Model Evaluation: Accuracy, Precision, Recall, F1-score, Cross-Validation Cloud Platforms: AWS, GCP, Azure (SageMaker, Azure ML, GCP AI tools) Version Control: Git, Jupyter Notebooks

Soft Skills: Problem Solving, Communication, Project Management Certificates

Mathematics for Machine Learning — Imperial College London

Deep Learning Specialization — Andrew Ng (DeepLearning.AI)

Python for Data Science AI and Development — Coursera

TensorFlow in Practice — Coursera

Data Science Specialization — Johns Hopkins University EXTRA-CURRICULAR ACTIVITIES

● Dive into a collection of my original artworks that blend creativity with technical innovation. With over 500 customized artworks and 23 world records, my work spans portrait art, event decorations, and unique art forms, including drawing with both hands, feet, and mouth. Each piece showcases my dedication to pushing artistic boundaries while inspiring students and fellow artists. Discover the art that has motivated thousands of students, with some earning spots in India's Book of Records for their extraordinary performances. (Live Artist)

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