Yatin Kande
@yatinkande
Data scientist and ML engineer delivering measurable AI outcomes.
What I'm looking for
I am a Data Scientist and ML Engineer with hands-on experience building and deploying production ML systems across computer vision, generative AI, and predictive modeling. I have converted business problems into measurable AI outcomes across automotive, agricultural, and technology domains.
My work includes deploying YOLOv5 crop-disease detection at scale, improving minority-class recall with synthetic data, and delivering a churn model with 81% AUC-ROC that informed targeted retention outreach. I reduced inference latency by 40% through edge-compute and batching optimizations, and tracked model performance with dashboards to accelerate release cadence.
I design robust, production-ready architectures using cloud and infra tools such as AWS, Docker, Kubernetes, and MLflow, and I focus on reproducibility, monitoring, and measurable business impact while continuously iterating on model quality and deployment efficiency.
Experience
Work history, roles, and key accomplishments
Data Analyst Intern
DataZymes
Feb 2024 - Jul 2024 (5 months)
Deployed YOLOv5 crop disease detection on 10,000+ images achieving mAP 74% and F1 0.76, cut inference latency by 40% via batched processing and edge optimizations, and improved minority-class F1 from 0.72 to 0.76 with 1,500+ synthetic images to expand rare disease coverage.
Machine Learning Intern
SmartKnower
Mar 2022 - Jun 2022 (3 months)
Built an XGBoost churn model on 8,500+ records achieving 81% AUC-ROC, engineered 15+ behavioral features and applied SMOTE to improve minority-class detection, and optimized hyperparameters via GridSearchCV to increase precision while maintaining recall.
Education
Degrees, certifications, and relevant coursework
University of Michigan–Dearborn
Master of Science, Data Science
2024 - 2025
Grade: 3.77
Completed M.S. in Data Science with a 3.77 GPA, focusing on applied machine learning, computer vision, and deployment of production ML systems.
Jain University
Bachelor of Science (Honors), Data Science
2020 - 2023
Grade: 3.6
Earned B.S. (Honors) in Data Science with a 3.6 GPA, covering statistical modeling, machine learning, and data engineering foundations.
Tech stack
Software and tools used professionally
Amazon API Gateway
Apache Spark
Tableau
Amazon Lex
AWS IAM
Amazon EC2
Amazon S3
GitHub
Kubernetes
AWS Fargate
Jupyter
NumPy
Pandas
PySpark
MySQL WorkBench
MySQL
PostgreSQL
Google Analytics
Databricks
OpenCV
AWS CloudFormation
PyCharm
Python
R Language
TensorFlow
PyTorch
MLflow
scikit-learn
Streamlit
Amazon SQS
Amazon SNS
NLP Cloud
Amazon DynamoDB
Gemini
Amazon Kinesis
Amazon Kinesis Firehose
Amazon Elasticsearch Service
Milvus
AWS Lambda
Serverless
Amazon RDS
Vercel
Git
Docker
BeautifulSoup
Scrapy
s3-lambda
Microsoft Power BI
SQL
XGBoost
SciPy
Qdrant
ChromaDB
Pydantic
Bash
Faiss
Farm
Oracle Cloud Infrastructure (OCI)
Availability
Location
Authorized to work in
Portfolio
yatinkande-portfolio.vercel.appSocial media
Job categories
Skills
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