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Click here or scroll down to respond to this candidateCandidate's Name
Dallas, Texas, Street Address PHONE NUMBER AVAILABLE EMAIL AVAILABLE LINKEDIN LINK AVAILABLE EDUCATIONThe University of Texas at Dallas, Richardson, Tx May Street Address Master of Science, Business AnalyticsOsmania University, Hyderabad, India June Street Address
Bachelor of Engineering in Electronics and Communication SKILLSTechnical Skills: Python, C/C++, R, SQL, Hadoop, HiveQL,ImaplaQL, MYSQL, AWS, Tableau, Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, Keras, Unix, Git.Certifications: IBM Data Science Professional Certificate, Google Data Analytics Certificate, Data Structure And Algorithms Relevant Coursework: Advance Statistics for Data Science, Business Analytics using R, Machine Learning, Big Data, Programming for Data Science, Artificial Intelligence, Neural Networks. PROFESSIONAL EXPERIENCEMuffakham Jah College, Hyderabad, India December 2022 April 2023 Machine Learning Project Assistant Collaborated closely with Professor Dr. Abdul Raheem to develop and present a cloud-based crop recommendation system at the 2023 IEEE 8th International Conference for Convergence. The system leveraged Python and cloud technology to provide personalized and accurate crop recommendations to farmers, achieving an accuracy of 89.56%. Conducted data analysis and applied machine learning techniques to optimize crop selection based on soil type, weather make it conditions, and market demand. Designed a user-friendly cloud interface accessible to farmers via any internet-connected device. S&P Global, Hyderabad, India January 2021 July 2021 Data Science Intern Supported AI/ML commodity market analyses in a 6-month internship, contributing to data solutions across global teams. Assisted in solving key business problems through targeted data analysis, enhancing project deliverables. Participated in end-to-end data lifecycle management, contributing to the development and enhancement of data products. Provided insights for strategic decisions, aligning projects with market and regulatory trends. ACADEMIC PROJECT EXPERIENCEAnomaly Guard Credit Card Fraud Detection/ Machine Learning, Python, R, Data Analysis, EDA, PCA, SMOTE January2024 Present Developed "Anomaly Guard" to detect and prevent credit card fraud using machine learning, enhancing card security. Analyzed 284,807 transactions, identifying fraud patterns through Python and R-based EDA. Addressed data imbalance (0.172% fraud) using under-sampling, over-sampling (SMOTE), and hybrid techniques. Enhanced feature distribution and correlation handling via feature scaling and PCA. Optimized fraud detection models (Logistic Regression, KNN, SVM) focusing on minimizing false negatives, evaluated by AUPRC. Fleet Risk Analysis / Big Data Processing, Hadoop Ecosystem, Data Analysis, Tableau, Hive, R January2024 Present Analyzed truck fleet data using Hadoop Ecosystem and R to enhance safety measures and identify high-risk drivers. Integrated geographic, census, and operational data for 1,000 trucks, monitoring and analyzing fuel consumption and mileage. Conducted risk factor analysis using Hadoop and R, leading to the development of predictive safety models. Developed Tableau dashboards from HDFS data to streamline decision-making and improve risk management. Bikeshare Data Analysis/ R, SQL, Excel, Tableau, Data Analytics October20223 December 2023 Conducted analysis on bike share data in an academic setting, managing a dataset of 20000 records. Leveraged R and SQL for data cleaning, preprocessing, EDA, and modeling to uncover insights. Achieved a predictive accuracy of 90% with decision tree and neural network algorithms. Created interactive Tableau dashboards, enhancing data visualization and presentation |
