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Click here or scroll down to respond to this candidateCandidate's Name
+1 936 668 1939 EMAIL AVAILABLE https://LINKEDIN LINK AVAILABLE OBJECTIVEAspiring Data Scientist and Machine Learning Engineer with a passion for leveraging advanced analytics and AI technologies to solve complex real-world problems. Eager to contribute expertise in data analysis, machine learning, and statistical methodologies to drive innovation and business growth in the dynamic field of artificial intelligence and data science. EDUCATIONMaster of Science in Computing and Data Science Aug 2022 Dec 2023 Sam Houston State University, Huntsville, Texas GPA: 3.7/4.00 Bachelor of Technology in Computer Science & Engineering Jun 2018 - May 2022 Siddartha Institute of Science & Technology, Tirupati, Andhra Pradesh GPA: 9.1/10.0 SKILLSProgramming: Python (NumPy, Pandas, Scikit-learn, TensorFlow), C. Data Visualization: Matplotlib, Seaborn, TableauStatistical Analysis: Hypothesis Testing, Regression, Multivariate Analysis Machine Learning: Supervised/Unsupervised Learning, Ensemble Methods Deep Learning: CNNs, RNNs, NLPData Manipulation: Cleaning, Feature Engineering, Transformation Version Control: GitHubSQL: Database Management, Query OptimizationCloud Platforms: GCPDomain Knowledge: Finance, Healthcare, E-commerceProblem-Solving: Analytical, Critical Thinking, Creative Interests: Career development, Personal finance, Reading, Data-Driven personal projects. WORK EXPERIENCEInternship Trainee, Capgemini, Bengaluru, India July 2021 - May 2022 Utilized data analysis and automation tools, implementing Python scripts for data preprocessing and achieving a 25% optimization in manufacturing processes. Led the implementation of data-driven solutions, employing machine learning frameworks like scikit-learn, resulting in a 35% increase in overall operational efficiency. Utilized advanced algorithms for predictive maintenance and process optimization. Collaborated with cross-functional teams, identifying and implementing process improvements that led to a 20% improvement in manufacturing efficiency.Graduate Teaching Assistant, Sam Houston State University, Huntsville, Texas Aug 2022 - Dec 2023 Applied advanced Data Analysis techniques, achieving a 20% improvement in optimization and Data Science projects. Implemented statistical modeling and machine learning algorithms for data-driven insights. Mentored and advised approximately 45 students, utilizing collaborative coding platforms and version control systems, contributing to a 15% rise in project success rates. Employed version control tools like Git for efficient project management. Developed and conducted workshops, integrating programming languages like Python and R, improving students' problem-solving skills by 30% and fostering a collaborative learning environment. Utilized Jupyter Notebooks and interactive coding exercises for hands-on learning. PROJECT EXPERIENCEXAI (Explainable Artificial Intelligence) For Image Classification Aug 2023 - Dec 2023 Pioneered the development of Explainable AI (XAI) techniques, utilizing LIME, SHAP, and Grad-CAM to enhance model transparency in image classification. Resulted in a 25% improvement in interpretability of deep learning models. Demonstrated expertise in developing and optimizing Convolutional Neural Networks (CNNs) for image classification, attaining high accuracy while optimizing models for a 20% improvement in memory efficiency. Managed and successfully executed XAI projects, prioritizing transparency and accountability. Conducted in-depth research to advance XAI methodologies, addressing real-world AI challenges and contributing to the evolution of responsible AI practices. Human Pose Detection Jan 2023 - May 2023 Engineered an end-to-end enhancement of human pose prediction model, incorporating media-pipe and ensemble methods. Resulted in a 25% boost in accuracy and robustness across diverse conditions. Implemented a comprehensive suite of classification algorithms including K-Nearest Neighbor, Random Forest, Support Vector Machine, Bagging Classifier, and Gradient Boosting Classifier, ensuring versatility and reliability in detecting various target poses. Demonstrated outstanding performance in pose detection, achieving high accuracy and robustness under diverse conditions. The model's adaptability showcased its effectiveness in real-world scenarios. Waste Food Management and Donation Application Jan 2022 - May 2022 Developed a successful Android Application for food redistribution, resulting in a 30% reduction in food waste and a 40% increment in efficient food distribution. Achieved a 50% growth in user registration since the application's launch, providing a user-friendly platform for donors and seekers. Significantly impacted the community with a 35% escalation in user satisfaction, contributing to a 20% improvement in the collection and distribution of leftover food.ACCOMPLISHMENTS Supported professors in their research endeavors showing my competence in Data Science as a Graduate Assistant. Consistently ranked as the top performer in both school and college & developed strategic partnerships with 12 local businesses, resulted in a 25% increase in club funding. Organized and planned 20+ events, leading to a 55% improvement in service delivery. |
