Data Scientist | ML Engineer | Cloud ML | NLP | Computer Vision
LinkedIn • GitHub • Email • Portfolio

St. Louis, MO | 314-393-9371

Results-driven Data Scientist and ML Engineer with expertise in scalable ML pipelines, cloud deployment on AWS, and workflow optimization. Experienced in translating complex data into actionable insights through NLP, computer vision, and analytics. Skilled in delivering production-ready solutions that reduce costs and improve business performance. Always eager to learn, grow, and contribute to impactful real-world applications.

• Languages: Python, SQL, R, Java, C++, JavaScript
• ML/DL: TensorFlow, PyTorch, Scikit-Learn, Keras
• Cloud: AWS SageMaker, AWS ML, GCP
• Data: Pandas, NumPy, Apache Spark, Hadoop, MongoDB
• Visualization: Tableau, Power BI, Matplotlib, Seaborn
• DevOps: Git, Docker, Kubernetes, MLflow, CI/CD
• Specialties: NLP, Computer Vision, ETL Pipelines, Streamlit, FastAPI, LLMs

• Google Advanced Data Analytics Specialization (Google)
• AWS Certified Machine Learning - Specialty (AWS)
• NVIDIA End-to-End Data Science Workflows
• AWS Certified AI Practitioner
• Best Use Case of AI – e-Hacks Hackathon
• 3rd Place – NASA Space Settlement Contest

Data Analyst Intern
Washington University, St. Louis, MO | Jun 2024 – Aug 2024

• Automated Salesforce ETL pipelines with Python, reducing data delays.
• Built executive dashboards in Power BI/Tableau; improved decision-making.
• Developed ML-based donor retention & giving score models (Scikit-Learn).
• Automated donor assignment lifecycle; cut turnaround from 3 months to 2 weeks.
• Deep analytics on grant funding; increased mobilizable grants by >20%.

Data Science Intern
Data Exposys Labs, Hyderabad, India | Apr 2023 – Jul 2023

• Built a diabetes prediction model (Random Forest, 91% accuracy).
• Engineered robust data pipelines in SQL, Pandas, and MongoDB.
• Created visualizations and performance dashboards for stakeholders.

• networksecurity:
  End-to-End MLOps Pipeline for Phishing URL Detection

  • 97.8% F1 score (Random Forest, Gradient Boosting, Scikit-Learn).
  • FastAPI, Docker, MLflow, AWS EC2, MongoDB Atlas, CI/CD.

• Fine_Tuning_BERT_for_Sentiment:
  Twitter Sentiment Analysis with BERT

  • Fine-tuned BERT transformer, 94% accuracy, 0.92 F1.
  • Real-time predictions with FastAPI, Docker, Nginx.

• automl:
  Semantic Segmentation on Amazon SageMaker

  • FCN-ResNet50, 92.6% pixel accuracy, scalable endpoint deployment.

• My_Portfolio:
  Personal Website & Portfolio

  • All projects, resume, and contact info in one place.

• AeroInv:
  Aerospace Inventory Analytics

  • Data engineering, analytics, and reporting for aerospace datasets.

• mushrooms:
  Poisonous Mushroom Classification

  • Data science pipeline to predict mushroom toxicity.

• Forest_Fire_Detection:
  Computer Vision for Fire Detection

  • Real-world image analytics and early warning system.

• InnoNest:
  Startup Showcase Platform

  • Hackathon project to connect startups with investors.

See all my projects on my GitHub profile.

Saint Louis University, College of Engineering
Master of Science in Information Systems | GPA: 3.8/4.0 (Expected May 2025)

Muffakham Jah College Of Engineering And Technology
Bachelor of Technology in Computer Science, Hyderabad, India