Data Scientist & AI Researcher

Transforming complex data into actionable insights

About Me

Isaac Kobby Anni

Data Scientist & AI Researcher

Hi, I'm a Data Scientist with specialization in machine learning, AI, and data analytics. Currently a PhD candidate in Data Science at Bowling Green State University, I apply advanced analytics to solve real-world problems. My expertise spans research, industry applications, and innovative AI solutions.

Machine Learning & AI

NLP, Computer vision, Predictive modeling, Data analytics

Technical Proficiency

Python, R, SQL, PyTorch, TensorFlow, Power BI

Research Experience

Representation learning, information extraction, AI for Healthcare and Education

Skills & Expertise

My technical toolkit for Data Science and AI solutions

Technical Skills

Python
95%
R
85%
PyTorch
90%
TensorFlow
88%
SQL
80%

Domain Expertise

Natural Language Processing

Text classification, sentiment analysis, named entity recognition, topic modeling, LLM's

Computer Vision

Image classification, object detection, semantic segmentation, GANs

Predictive Analytics

Time series forecasting, regression analysis, classification models

Big Data Technologies

Hadoop, Spark, cloud computing platforms, distributed systems

Data Engineering

ETL pipelines, data warehousing, data modeling, optimization

Data Visualization

PowerBI, Tableau, matplotlib, seaborn, interactive dashboards

My Projects

Showcasing my work in data science and artificial intelligence

Topic Modeling

Topic Modeling

Exploring hidden topics in large text corpora

Question Answering

Question Answering

Building systems to retrieve precise answers from documents

Image Classification

Image Classification

Developing models to categorize images into predefined classes

Image Segmentation

Image Segmentation

Partitioning images into meaningful segments

Predictive Modeling

Predictive Modeling

Building models to forecast trends and outcomes

Data Analytics

Student Success Analytics

Using Power BI and Python to analyze student success metrics

Multi-Modal Learning

Multi-Modal Learning

Exploring text, image, and audio representation for combined learning

Time Series Forecasting

Time Series Forecasting

Predicting future values based on historical patterns

Experience

My professional journey in data science and research

2022 - Present

PhD Candidate - Data Science

Bowling Green State University

Conducting research on advanced machine learning algorithms for predictive analytics. Working on student success models and developing innovative AI solutions.

  • Developing student success predictive models
  • Researching NLP applications for educational content
  • Collaborating with faculty on interdisciplinary AI projects
2022

Data Scientist

ICRISAT

Applied machine learning and computer vision techniques to agricultural data. Developed crop simulation models and implemented deep learning for disease detection.

  • Built image classification models for crop disease detection
  • Developed predictive analytics solutions for agricultural outcomes
  • Created data visualization dashboards for research insights
2021 - 2022

Research Fellow

University of Arizona

Worked in the Computational Language Understanding lab under Dr. Mihai Surdeanu. Focused on natural language understanding and name entity recognition systems.

  • Developed information extraction algorithms
  • Implemented question answering systems
  • Published research on belief extraction

Testimonials

What my colleagues and mentors say about my work

Get In Touch

Let's discuss how we can collaborate

Location

Bowling Green, Ohio, USA

Academic Profile

BGSU Data Science