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Machine Learning Data Analyst

Location:
Indianapolis, IN
Salary:
50000
Posted:
April 06, 2025

Contact this candidate

Resume:

Profile

+1-463-***-****

*******@******.***

www.linkedin.com/in/israel-oladeji-47a954238

**** ******** ****

Ln,Indianapolis,

Indiana

Bachelor of Science in

Computer Science

Purdue University Indianapolis

Minor in Methematics

2022-2025

Machine Learning & AI: Deep Learning,

CNNs, Transformer Models, Vision

Transformers, MLP-Mixer

DATA ANALYSIS: PANDAS, NUMPY,

MATPLOTLIB, SEABORN, SQL

Programming Languages: Java, C, C++,

Python

Frameworks & Tools: TensorFlow, PyTorch,

JAX/Flax, Keras, Docker, Git, Jupyter

Notebooks

Education

Expertise

English

Yoruba

Language References

ISRAEL Student Soon OLADEJI to be Software

engineer Data Analyst

2024

Now

Outlier Analytics

AI & Machine Learning Engineer

Engineer AI solutions: Build and refine image recognition and NLP systems that improve performance by 35%.

Optimize training: Integrate transformer models that cut training times by 50% while enhancing inference accuracy.

Collaborate effectively: Join forces with cross-functional teams to implement data- driven strategies that lower system errors by 40%. 2024

-

Now

Agba Ballers

Data Analyst

Uncover insights: Analyze over 3 million records to identify trends that drive a 25% boost in operational efficiency.

Build predictive models: Develop forecasting tools that improve accuracy by 30% to support strategic decision-making.

Design dashboards: Create interactive, real-time dashboards using Python and SQL that cut report generation time by 50%.

2022

-

Now

Amazon

IOL Associate & Learning Ambassador

Enhance inventory management: Perform proactive audits in unconventional locations, raising inventory accuracy by 20%. Streamline reconciliations: Overhaul reconciliation processes to reduce discrepancies by 30%.

Optimize operations: Collaborate with teams to refine inventory systems, boosting overall efficiency.

2024

-

2024

Networks Connect

Technical Recruitment & Process Optimization Intern Streamline hiring: Revamp candidate selection processes to reduce interview scheduling time by 75% and boost recruitment efficiency by 60%. Enhance data accuracy: Design automation tools that increase candidate data precision by 90%.

Collaborate across teams: Work closely with hiring managers to ensure a smooth, effective recruitment process.

I design and deploy advanced deep learning models and distributed training systems that drive measurable improvements. I lead dynamic teams and mentor future tech talent, solving complex challenges in computer science and AI. ********@******.***

Jimmy Filsaime

Email :

Amazon / Manager

317-***-****

******@********-*******.***

August Tharp

Phone:

Email :

Networks Connect/ Supervisor

Work Experience

Japanese

GPA 3.31 Dean’s List

COLLABORATION: MICROSOFT OFFICE SUITE,

GOOGLE WORKSPACE, ERP/INVENTORY

MANAGEMENT SYSTEMS

Researchs, Projects and Certfificates

Available Upon Request

https://github.com/Ca3de



Contact this candidate