Data Scientist | Data Analyst | ML Engineer | Azure Certified Data Engineer | Research Analyst | ex-Oracle | ex-Infosys Location: Chicago, IL
π About Me
I am a Machine Learning Research Analyst and Data Scientist with a passion for using data-driven insights to solve complex problems. Currently pursuing a Master of Science in Data Science at DePaul University, I specialize in areas like machine learning, deep learning, and data analysis. My work focuses on building scalable solutions for medical imaging, predictive modeling, and business intelligence systems.
I have extensive experience in leading projects, including medical image analysis, autonomous vehicle lane detection, and generative AI. I have worked with technologies like Python, SQL, AWS, and TensorFlow, and I am skilled in deploying models for real-world applications.
With over a decade of experience in the tech industry, I have held leadership roles at Oracle and Infosys, where I led teams in the development of data-driven solutions for large-scale enterprise applications. At Oracle, I spearheaded cloud-based solutions, increasing operational efficiency and improving revenue streams by 10%. At Infosys, I optimized data pipelines and ETL processes, enhancing efficiency by 70% for financial services clients like BOFA and AMEX.
Iβm driven by the intersection of data science and technology, continually working on innovative solutions to enhance decision-making and business outcomes.
π οΈ Skills
Programming Languages & Tools
Methodologies:
- Agile Development
- Data Engineering & ETL
- Dashboard Development & Business Intelligence
- Cloud Computing
- Cross-Functional Collaboration & Stakeholder Communication
π» Work Experience
DePaul CoBaab Lab (01/2023 β Present)
Data Scientist, ML Research Analyst
- Designed and deployed predictive and prescriptive machine learning models using Python (sci-kit-learn, TensorFlow, pyTorch, XGBoost) and optimized hyperparameters with Grid SearchCV and Randomized SearchCV, resulting in a 25% increase in customer acquisition rates.
- Led investigations into large volumes of imaging data while applying cutting-edge analytics tools tailored specifically for health technology evaluations aimed at minimizing redundancies spotted during stakeholder meetings held bi-weekly.
- Built robust Deep Learning and CNN models for medical image predictions, achieving a 16% improvement in accuracy over baseline.
- Pioneered advancements leveraging artificial intelligence tools focused on entity recognition tasks which fine-tuned NLP pipelines, directly addressing key operational bottlenecks identified as critical obstacles through stakeholder feedback sessions conducted bi-weekly.
- Formulated robust statistical methodologies integrating PCA to streamline dimensionality reduction processes; applied sophisticated visualizations through Matplotlib and Seaborn, resulting in quicker insights that Enriched project timelines by 25%.
Oracle (05/2014 β 11/2019)
Principal Application Engineer - Data Scientist
Infosys (06/2009 β 05/2014)
Data Analyst
π Projects
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Lane and Curve Detection for Autonomous Vehicles Developed a real-time image processing pipeline using OpenCV and deep learning models to enhance lane detection and improve autonomous vehicle navigation.
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Gesture Recognition with Hybrid 3D Pooling CNN Created a gesture recognition system for smart TVs using a 3D pooling CNN that achieved high accuracy in low-resolution environments.
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Text-to-Image Generation for E-Commerce Developed a generative AI model using Stable Diffusion, transforming text descriptions into photorealistic product images for e-commerce.
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Heart Attack Prediction Built a predictive model with 84% accuracy to assess heart attack likelihood using advanced machine learning and statistical techniques.
π Education
Master of Science in Data Science
DePaul University, Chicago, IL
GPA: 4.00/4.00
Expected Graduation: Nov 2024
Bachelor of Technology in Information Technology
Biju Patnaik University of Technology, India
GPA: 3.46/4.00
π« Get in Touch
If you're interested in collaborating or learning more about my work, feel free to reach out! π§ Email: [email protected] πΌ LinkedIn: https://www.linkedin.com/in/jitendra3010/ π GitHub: https://github.com/jitendra3010