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Click here or scroll down to respond to this candidateCandidate's Name
Chicago, IL PHONE NUMBER AVAILABLE EMAIL AVAILABLE LINKEDIN LINK AVAILABLE SUMMARYRecent Master's graduate in Computer Science from Illinois Institute of Technology, specializing in data analysis, data management, and software product management. Strong background in machine learning, natural language processing, and software engineering, with a particular interest in data-driven insights and innovative solutions. Known for creativity, leadership abilities, and a "nothing is impossible" attitude. Passionate about fitness and sports, with a love for exploring new places and ideas. EDUCATIONIllinois Institute of Technology, Chicago, IL August 2022-May 2024 MASTERS IN COMPUTER SCIENEKalinga Institute of Industrial Technology, Bhubaneswar, India July 2018-May 2022 BACHELORS OF TECHNOLOGY IN COMPUTER SCIENCE AND ENGINEERING WORK EXPERIENCENBC Bearings Pvt Ltd - Data Science Intern (June 2021-Aug2021)Reduced error rates by 15% through the implementation of data validation protocols, enhancing product quality and customer satisfaction.Increased data processing efficiency by 20% by developing a real-time digital gauge recognition system, reducing production downtime and costs.Optimized deep learning algorithms to achieve an 88% accuracy rate, improving predictive maintenance and operational efficiency.Leveraged advanced Python libraries for data manipulation and analysis, which streamlined the data pipeline and enhanced decision-making processes.Collaborated effectively with cross-functional teams to drive project success, leading to improved team synergy and project outcomes. Smartknowers Pvt Ltd - Data science Intern (Oct 2020-Dec2020)Engineered a Neural Network using the MNIST Dataset for real-time digit recognition, resulting in a highly accurate and responsive application for handwriting recognition.Implemented a Convolutional Neural Network (CNN) with transfer learning techniques for image classification, achieving high accuracy and reducing model training time.Demonstrated proficiency in Python libraries, including TensorFlow, Keras, OpenCV, and NumPy, contributing to the successful deployment of machine learning models in production environments. Indian Institute of Technology(ISM) - Python Intern (May 2019-June2019)Developed a Hangman game using Python, highlighting strong programming and algorithmic problem-solving skills, and enhancing user engagement through an interactive experience.Conducted literature reviews and technical report writing under the guidance of a postgraduate student, contributing to the academic research and development of new methodologies in Computer Science. PROJECTS EXPERIENCE HTTPS://GITHUB.COM/VMISHRA07Project topic: Text Classification Project: NLP Modeling and Comparative Analysis of Naive Bayes and Logistic RegressionLed the project on text classification using Naive Bayes and Logistic Regression models, achieving high accuracy and enabling more efficient text categorization for business applications.Developed a pipeline for preprocessing text data, reducing manual processing time by 40%. Project Topic: Classification of COVID 19 using chest X-ray imagesDeveloped a CNN-based model achieving 95% accuracy and 92% sensitivity in COVID-19 detection, contributing to the development of more reliable diagnostic tools.Reduced false positives by 10%, increasing the reliability of the model in clinical settings. Project Topic: Social Media DashboardEngineered a comprehensive dashboard to monitor key engagement metrics and assess marketing campaign impact, leading to more informed strategic decisions and improved social media performance.Enabled real-time tracking and reporting, reducing the time to gather insights from weeks to minutes. Project Topic: Real Time Driver Drowsiness DetectionDeveloped a vision-based system using advanced fuzzy logic and facial feature recognition algorithms, achieving a 74% accuracy rate and enhancing road safety through early detection of driver fatigue.Reduced false alarms by 15%, ensuring more accurate detection and fewer disruptions for drivers. SKILLS AND RESEARCHProgramming: Python, Java, C/C++,Database: SQL, MySQL,Web Development: HTML5,Machine Learning: Data Analysis, Deep Learning, Neural Networks, Data analysis, Predictive Modeling, Supervised Learning,Unsupervised Learning, Model Evaluation. Big Data, Data Warehousing,Artificial Intelligence, transfer learning, natural language processing. Data Science: Data Management, Data Manipulation, Data Modeling. Libraries: NumPy, Pandas, Matplotlib, Keras, OpenCV, Pyspark, Sparksql. Tools: Jupyter Notebook, Tableau, Microsoft Office suite, power Bi,git, Docker, Kubernetes.,Project Management: Microsoft Project, Azure data factory, Azure synapse,Agile Methodologies, scrum. Soft Skills:Leadership,Effective Communication,Team Collaboration, Strategic Problem Solving, Time Management, Adaptability, Critical Thinking.Continuous Learning: Artificial Intelligence, Project Management, Software Engineering, Cloud Computing(AWS,Azure),Advanced Machine Learning.Certification/License : Google Data Analyst (Certification 2023 RGE94JXY9XSY). Machine Learning classification [Washington University]Neural Network and Deep Learning and its Hyperparameter[Coursera] Additional Interests: Sports (Basketball, Badminton, Swimming, Football), Team leader, Fitness enthusiast, Explorer,Soldering,Welding. Co-authored a book Chapter with Prof Monideepa Das named Fuzzy Computing in Data Science (John Wiley and Sons). ISBN: 9781119864929. |
