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Click here or scroll down to respond to this candidate Chicago,IL
EMAIL AVAILABLE Candidate's Name PHONE NUMBER AVAILABLE
LINKEDIN LINK AVAILABLE
EDUCATION
Master of Science, Software Engineering, Arizona State University August Street Address May 2024
Bachelor of Technology, Information Science and Engineering, Jain University July Street Address July 2022
SKILLS
Languages : Python , SQL , R , C , Java , JavaScript, HTML, CSS
Frameworks: React , Flutter , Pandas , TensorFlow , PyTorch , Scikit-learn , Keras , Apache Spark , Hadoop , Node.js , Matplotlib ,
and Libraries NumPy , SciPy
Tools : Microsoft Excel , Access , Tableau , Looker , Power BI , Google Analytics, Apache Kafka , BigQuery , ETL , Agile , Project
Management , JIRA , Alteryx , Docker
Platforms : AWS , GCP , Azure , Windows , Android , iOS , SAP , Salesforce , Finance , Healthcare , Automobile
Certifications : Google Analytics by Google, Data Analytics Essential by Cisco, Corporate Analyst Development Program by JP Morgan
Chase, Excel Skills for Business by Goldman Sachs, Data-Driven Product Research and Design by Project Management
Institute, Software Engineering by JP Morgan Chase, Salesforce Sales Operation by Salesforce, GenAI by BCG
Achievements : $10,000 ASU Scholarship for outstanding academic achievement, State Level Spelling Bee Champion, Guinness World
Record Completed online programming lesson with the most users in 24 hours.
Volunteering : ASU Analyzed data on 70+ international climate events, JU Assisted in organizing Hackathon for 100+ students.
EXPERIENCE
Data Analyst Consultant (Research & Development) July 2024 Present
Turquoise Power Chicago, IL
Research and analyze data from 100+ data centers, comparing performance metrics to provide detailed insights.
Aggregate data from diverse sources, producing concise reports that streamline planning and reduce time by 30%.
Develop and present 70+ reports, utilizing several visualizations to clarify findings and boost decision-making efficiency by 50%.
Consult on various research topics, offering recommendations that enhance project outcomes and guide strategic initiatives.
Software Developer Intern (Biostats - AI & I) October 2023 December 2023
Mayo Clinic Rochester, MN
Engineered a Windows GUI application using Python and medSpaCy, enhancing NLP tool usability for non-technical users.
Designed intuitive user interfaces with tkinter, streamlining user interactions and enhancing overall application accessibility.
Enhanced application performance through efficient MySQL database integration and data process optimization.
Streamlined application stability by identifying and fixing bugs, ensuring smooth functionality and a seamless user experience.
Data Science Analyst Intern (Graduate Platform) May 2023 - August 2023
Mayo Clinic Rochester, MN
Authored documentation for Mayo Clinic Platform s AI/ML data science workspace environment for Mayo Clinic s clients.
Utilized SQL and Python to analyze large datasets, including 7.3M patient records, providing insights on medical device usage.
Developed software demos for AI/ML data environments, translating theoretical concepts into practical, real-world solutions.
Collaborated closely with mentors to understand data analysis, equipping innovative problem-solving strategies.
Software Developer Intern (Application Development) July 2021 August 2021
Terralive Envirotech Bangalore, India
Engineered React app classes for a driver booking app, enhancing functionality and reducing code complexity by 20%.
Architected a database for an e-commerce app, optimizing data management and boosting performance.
Revamped Flutter components in a cloud-kitchen app, refining the user interface and elevating user satisfaction.
Directed real-time deployment and development, advancing efficiency and adhering to best practices by 15%.
PROJECTS
Autonomous Aerial Object Detection using Machine Learning, Kutta Technologies | Phoenix, AZ January 2024 May 2024
Led enhancements to aerial search and rescue system on Kutta s Small Mission Computer using embedded Linux.
Oversaw real-time video processing improvements with FFmpeg and OpenCL, increasing processing speed by 25%.
Directed AI/ML model training initiatives, boosting object detection accuracy by 40% with Python, YOLO, and Flask.
Executed search and rescue exercises, integrating code with Kutta s hardware, later utilized by US Department of Homeland Security.
Cervical Cancer Prediction using Machine Learning, Jain University | Bangalore, India July 2021 July 2022
Engineered ML models for cervical cancer prediction using Python, TensorFlow, and Flask; achieved 90% accuracy.
Leveraged SQL and Tableau for data analysis, analyzing sensitive medical data to achieve 95% success in cancer type classification.
Enhanced algorithm performance by fine-tuning SVM and RF models, boosting efficiency and effectiveness in cancer prediction.
Applied ANN for predictive analytics, showcasing advanced skills in handling complex health data and driving actionable insights.
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