Machine Learning Data Scientist

Jitendra Kumar Mishra

Chicago, IL +1-773-***-**** ************@*****.*** www.linkedin.com/in/jitendra3010/ https://github.com/jitendra3010 EDUCATION

Master of Science in Data Science 01/2023 - 11/2024 DePaul University, Jarvis College of Computing and Digital Media GPA: 4.00/4 Bachelor of Technology in Information Technology 03/2005 – 03/2009 Biju Patnaik University of Technology, National Institute of Science and Technology GPA: 3.46/4 SKILLS

Technical Skills: Python, R, Java, SQL, PL/SQL, MySQL, PostgreSQL, JSON, Machine Learning, Supervised and Unsupervised Learning, Predictive Modeling and Analysis, Data Analysis and Regression, Data Regularization Techniques, Hadoop, MapReduce, ETL, EDA, Convolutional Neural Network (CNN), Deep Learning. Framework/Libraries: J2EE, Spring, Oracle Application Development Framework (ADF), SCRUM, OpenCV, Pillow, PyTorch, TensorFlow, scikit learn, NumPy, SciPy, pandas, matplotlib, seaborn, ggplot, Pyplot, Plotly. Tools: REST Services, AWS, Microsoft Azure, Oracle Cloud, Power BI, Tableau, JIRA, ServiceNow, Microsoft Office, R-studio, Jupyter notebook, Visual Studio, eclipse, VSCode, IntelliJ, Postman, Soap UI, Rest API, GIT, SVN, Jira. Other: Agile, Dashboard development, Data Engineering and Modeling, Data Manipulation, Cloud Computing, ETL Processes, Statistical problem solving, innovative thinker, critical thinking, analytical skills, client handling. EXPERIENCE

Machine Learning Research Analyst 01/2024 to Present DePaul CoBaab Lab, Chicago, IL

• Spearhead controlled experiments to evaluate the effectiveness of machine learning models in detecting fractures and edema.

• Developed and iterated analysis pipelines using Python and PyTorch to enhance the accuracy and efficiency of CNN models with optimized U-net architecture for medical imaging, resulting in a 75% accuracy in bounding box identification for edema detection. Data Scientist 06/2023 to 09/2023

DePaul CoBaab Lab Chicago, IL

• Performed advanced analytics on complex dataset of mice brain, to uncover insights in gene expression studies.

• Developed and implemented statistical and machine learning models utilizing PCA for dimensionality reduction and advanced visualization techniques with Matplotlib and Seaborn, leading to enhanced data-driven decision-making. Principal Application Engineer 05/2014 to 11/2019

Oracle Hyderabad, India

• Spearhead a team in adopting Agile methodologies, enhancing project efficiency and delivering impactful software solutions

• Automated reporting processes developed dashboards to provide insights at scale which saved 1.5 hr. of manual effort every day.

• Spearhead the development of data-driven solutions for Oracle Cloud Services, implemented RESTful web services for all domain DB components in ADF, tested using Postman with OAuth2 security principles for user data protection.

• Increased revenue by 10% through the successful deployment of a B2B messaging solution, driving significant business impact.

• Executed comprehensive Unit, Integration, Performance, and Regression testing, utilizing libraries like JUnit ensuring 100% code coverage and reducing errors and downtime.

Technology Analyst 06/2009 to 05/2014

Infosys Hyderabad, India

• Built data analysis pipelines and conducted statistical analysis to support key financial decisions for clients like BOFA and AMEX.

• Spearhead a PL/SQL-driven data solution through an ETL process of over 5 million records, Improved operational efficiency by 70% through performance tuning and SQL query optimization techniques.

• Developed web applications and data repositories, reducing costs and improving efficiency through automation and optimization. PROJECTS

• Lane and Curve Detection for Autonomous Vehicles: Created a real-time image processing pipeline for lane detection, utilizing OpenCV and deep learning models to enhance autonomous vehicle navigation.

• Movie Recommender System: Built a recommendation system with regression and classification for predicting revenue and success; utilized content-based and collaborative filtering (SVD) for recommendation.

• Gesture Recognition with Hybrid 3D Pooling CNN: Designed a gesture recognition system using a hybrid 3D pooling CNN, achieving high accuracy in low-resolution environments with neural network and deep Learning Techniques for smart TV.

• Facebook Interaction Dataset Analysis: Analyzed post metrics to predict performance with a MAPE of 6.0%, informing post publication strategies with regression models.

• Heart Attack Analysis and Prediction: Developed a predictive model for heart attack likelihood with an accuracy of 84%, using advanced machine learning techniques and statistical analysis.

Contact this candidate