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Click here or scroll down to respond to this candidateCandidate's Name
Tempe, AZ, 85281 Phone: PHONE NUMBER AVAILABLE Email: EMAIL AVAILABLE LinkedIn Github TECHNICAL SKILLSProgramming Languages: Advanced SQL, Python, Java, C++,C. Databases: MySQL, MongoDB, Couchbase.AWS: EC2, DynamoDB, Sagemaker, IAM, S3, Athena, Lambda Data: Linux, Scala, Databricks, Tableau, Seaborn, BeautifulSoup, Scikit-learn, MS Excel, Pandas, Numpy, Bokeh, Matplotlib, AirFlow, Git. Machine Learning/Artificial Intelligence: PyTorch, PySpark, TensorFlow, OpenCV, Scipy, Sklearn, Keras, XGBoost. EXPERIENCEArizona State University, Follet Tempe, AZData Analyst January 2023 - PresentManaged intricate bookstore databases, ensured data precision, analyzed transactions. Optimized bookstore financial databases, conducting in-depth transaction analysis to ensure accuracy and compliance with accounting standards. Oversaw a transaction database containing over 200K records, ensuring data precision and adherence to financial regulations, successfully identifying and eliminating anomalous transactions to maintain data integrity. Utilized Python (NumPy, Pandas, SciPy, Matplotlib) for advanced financial data analysis and developed an interactive Tableau dashboard to visualize key performance indicators (KPIs) for payment pattern analysis. Metrics included transaction volume, average transaction value, purchase frequency, and revenue trends, enhancing financial decision-making and reporting capabilities. Cognizant Technology Solution Hyderabad, IndiaProgrammer Analyst - UnitedHealth Group Client January 2021 - July 2022 Developed analytics and testing solutions to enhance healthcare operations, data accuracy, and system efficiency. Developed and maintained Tableau dashboards and reports for healthcare analytics, enabling data-driven decision-making and implementing optimized data models and ETL processes using Tableau Prep and SQL to reduce processing time and ensure data accuracy. Executed SQL and stored procedures required to generate records of employees having dental & vision coverage from Dental & Vision ID card setup. Leveraged advanced statistical methodologies using Python packages (Matplotlib, Seaborn and Scikit-learn) for analysis and visualization of healthcare data, extracting actionable insights for enhancing operational competence and patient outcomes. Developed and executed Selenium automation scripts, enhancing test cases for 96.2% efficient regression testing using Java, TestNG, Cucumber, and Maven. Led mainframe application testing with JCL, COBOL, and DB2, achieving 53.2% improvement. India Institute of Science Bangalore, IndiaData Science Research Intern June 2019 - August 2019 Optimized sensor placement, automated evaluation, RF Localization with improved accuracy. Applied data engineering and analytics skills to optimize sensor positioning in aircraft systems for precise and efficient placement. Facilitated automated evaluation of sensor positioning for improved performance using predictive analysis model developed using K Nearest Neighbors. Executed RF Localization in aircraft, using Neural Networks and KNN to train algorithms for Multipath information and verify based on demographics of positioning patterns of sensors with 12.8% accuracy increment. National Institute of Technology Rourkela, IndiaData Science Research Intern December 2018 - January 2019 Collaboratively built Android slope monitoring with ML, enhanced visualization, UI efficiency. Developed a Android-based real-time predictive slope monitoring system for mining, using XGBoost, Gradient Boosting and Random Forest Regression, alongside data preprocessing and statistical analysis. Achieved 24.5% efficiency boost in predicting slope instability trends. Established enhanced graphical data visualization techniques to monitor the achieved slopes using Matplotlib and Seaborn packages. Developed Android Application Framework, utilizing Java and integrated framework with backend APIs optimizing UI appearance and efficiency by 40%. EDUCATIONArizona State University Tempe, AZMasters in Information Technology and Data Science (GPA : 4.0/4.0) August 2022 - May 2024 Coursework: Analyzing Big Data, Data Visualization, Adv Big Data Analytics/AI, Cloud Architecture and Security, Adv Database Systems, Info Systems Development, Computer Architecture, Managing Intelligent Devices. Sikkim Manipal Institute of Technology Sikkim, India Bachelors in Electronics and Communication Engineering (GPA : 8.43/10.0) August 2017 - June 2021 Coursework: Embedded Systems, Signal Processing, Network and Circuit Analysis, Data Structures, Object Oriented Programming, VLSI, Operating Systems, Statistics, Electronics Designing, Digital Image Processing, Algorithms, Data Warehousing and Data Mining, Data Analytics. ACADEMIC PROJECTSCryptocurrency Analysis and Prediction Machine Learning, NLP, Time-Series, PyTorch November 2023 - December 2023 Implemented and tested PySpark and machine learning models (Linear Regression, SVR, Gradient Boosting) to analyze historical cryptocurrency data, predict price trends, and provide insights for investors. Integrated sentiment analysis using NLP on news headlines for comprehensive market view. Utilized PySpark, scikit-learn, NLTK, Matplotlib, Seaborn, and Python to analyze cryptocurrency data, identify trends, assess market sentiment impact, and optimize portfolios for risk and return.Payroll Management System Data Management, Data Visualization, Tableau, Machine Learning October 2022 - December 2022 Led development of a Payroll Management System, integrated with Microsoft SQL Server, Couchbase, and ORM models for efficient data handling. Implemented advanced data processing and machine learning algorithms with Python libraries like Pandas and Scikit-learn, automating payroll tasks and improving decision-making. Achieved a remarkable 25% boost in efficiency through intuitive data visualization dashboards created using Tableau. Football Performance Analytics Dashboard Data Visualization, Tableau February 2022 - April 2022 Implemented a Football Performance Analytics Dashboard using Python, Tableau, SQL, and data preprocessing techniques to enhance decision-making in football management. Achieved a 20% improvement in player performance and a 15% increase in talent scouting efficiency by leveraging data-driven insights from a dataset of 21,365 rows and 24 columns. LEADERSHIP AND INVOLVEMENT Technical Secretary at SMIT, drove technical events, led college activities, and ignited student passion for research. Secured 1st place in TechAdrishta 2018 and 2019, annual technical competition by Innovision at SMIT. Led team of 3 to secure Best Project at Science Engineering Fair 2019 hosted at Birla Industrial and Technological Museum. |
