Data Analytics

I specialize in transforming raw data into actionable business insights that drive strategic decision-making. With a strong background in both data analytics and commerce, I bridge the gap between business needs and technical solutions. My approach combines statistical analysis with compelling data visualization to tell stories that solve real-world problems. I've developed expertise in designing dashboards that make complex data accessible and creating end-to-end analysis workflows that uncover hidden patterns and trends.

Skills

Data Visualization

  • Power BI
  • Tableau
  • Matplotlib/Seaborn
  • Plotly/Dash

Data Manipulation

  • SQL
  • Pandas
  • NumPy
  • ETL Pipelines

Analysis Techniques

  • Statistical Analysis
  • A/B Testing
  • Time Series Analysis
  • Customer Segmentation

Business Intelligence

  • KPI Development
  • Executive Reporting
  • Data Storytelling
  • Process Optimization

Projects

Northwind Sales Insight Dashboard View Project
A business-driven case study where I performed in-depth EDA on the classic Northwind dataset. I uncovered key trends in sales, customer behavior, and product performance, and built a professional dashboard for storytelling using Power BI and SQL. Tech Stack: SQL, Power BI, Pandas
Loan Default Risk Analysis View Project
A feature-driven analytics project where I identified critical drivers of loan defaults. I applied statistical analysis and visual storytelling to assist in better loan disbursement strategies. Tech Stack: Python, Matplotlib, Pandas

Machine Learning

My machine learning expertise spans from traditional algorithms to deep learning systems that solve real business challenges. I've built end-to-end ML pipelines that deliver measurable impact, combining the right models with appropriate feature engineering techniques. I focus on creating solutions that are not only technically sound but also deployable, maintainable, and integrated with business workflows. With a solid foundation in Python-based ML frameworks and cloud deployment platforms, I develop models that generate actionable predictions and insights.

Skills

Frameworks & Libraries

  • TensorFlow/Keras
  • PyTorch
  • Scikit-Learn
  • XGBoost/LightGBM

ML Techniques

  • Supervised Learning
  • Unsupervised Learning
  • Deep Learning
  • Natural Language Processing

MLOps

  • ML Pipelines
  • Model Monitoring
  • Deployment Strategies
  • Version Control (DVC)

Cloud ML Services

  • AWS SageMaker
  • Google AI Platform
  • Azure ML
  • MLflow

Projects

University Admission Predictor View Project
Built a regression model to predict the chances of a student getting admitted to top universities based on academic profiles. The project includes feature importance analysis, model tuning, and a live demo deployed with Streamlit. Tech Stack: Scikit-learn, Streamlit, NumPy
AI Chat Assistant for Recruiters View Project
A custom-trained assistant that answers queries about my resume and portfolio using NLP and retrieval techniques. Built to simulate real-time interactions with hiring teams, this project showcases my ability to work with large language models and create practical AI applications. Tech Stack: LangChain, OpenAI, Gradio
Speaker Diarization Application View Project
Developed an advanced multi-speaker audio processing system that performs speaker diarization, transcription, and summarization to extract meaningful insights from multi-speaker conversations. Tech Stack: PyTorch, Hugging Face Transformers, Gradio

Computer Vision

I'm passionate about developing computer vision systems that can perceive and understand visual information in ways that benefit humans. My experience spans from implementing state-of-the-art algorithms to deploying them in real-world scenarios. I've worked on projects that enable machines to "see" and interpret their environment through image processing, object detection, and image classification. I focus particularly on applications that improve accessibility and solve tangible problems, creating CV solutions that operate efficiently even with hardware constraints.

Skills

CV Techniques

  • Object Detection
  • Image Segmentation
  • Feature Extraction
  • Image Classification

CV Libraries

  • OpenCV
  • PIL/Pillow
  • TorchVision
  • TF Computer Vision

Deep Learning for CV

  • CNNs
  • YOLO frameworks
  • Transfer Learning
  • Object Recognition

Applications

  • Accessibility Solutions
  • OCR/Document Analysis
  • Motion Tracking
  • Edge Deployment

Projects

Smart Shopping Assistant for the Blind View Project
Designed a system using object detection and OCR to help visually impaired individuals find products and navigate shopping aisles. Developed with real-time feedback on Raspberry Pi and OAK-D camera, this project demonstrates my commitment to creating technology that solves real accessibility challenges. Tech Stack: YOLOv8, OpenCV, Raspberry Pi
Traffic Flow Counter (Upcoming) View Project
An edge solution using Raspberry Pi to monitor and count vehicles at intersections, providing real-time traffic flow analytics. This project demonstrates efficient deployment of CV models on resource-constrained devices. Tech Stack: YOLOv5, Raspberry Pi, OpenCV
Manyue Javvadi
Manyue Javvadi

AI/ML Engineer & Data Scientist

I'm a software engineer turned AI/ML practitioner with a strong foundation in Commerce and experience in ML, computer vision, and data analytics. I blend business understanding with data-driven thinking to create real-world solutions. Currently open to roles in Data Science, Machine Learning Engineering, and Computer Vision.
Python
Machine Learning
TensorFlow
PyTorch
Computer Vision
Data Analytics
SQL
Power BI
resume .pdf 99.0 KB ⇣

My Specializations

Data Analytics
Data storytelling, insights extraction, interactive dashboards & business problem-solving
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Machine Learning
Feature engineering, model training, deployment & automation pipelines
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Computer Vision
Object detection, image recognition, edge AI & accessibility applications
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My Journey

2018-2021
Bachelor's in Commerce (89%)

SRM University Chennai

Graduated with honors focusing on Business and Finance.

2021-2023
Junior Software Engineer at Cognizant

Chennai India

Developed and maintained enterprise-grade Java applications for the Insurance domain

2023-2024
Post-Graduation in AI/ML (97%)

George Brown college,Canada

Advanced studies in AI/ML and data science.

2025
Seeking ML Engineer/Data Scientist Role

Ready for opportunities in ML and Data Science in Canada.

Contact Me

Looking for a data scientist or ML engineer for your team?

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