Meisam Ghafarlangroudi
Machine Learning Engineer
Experience
Machine Learning Engineer
Geeks
- Utilized a Large Language Model (LLM) at WordUp, tailored to enhance vocabulary learning by understanding and generating contextual examples, improving personalized learning experiences
- Developed a high-performance Fast API service for retrieving high-K similar vectors with batch querying capabilities. This service is crucial for enabling efficient Retrieval Augmented Generation (RAG) and semantic search applications
- Designed and implemented a high-performance Python ETL pipeline, optimizing CPU and I/O utilization and streamlining data cleansing logic, resulting in a 30% reduction in processing time
- Utilized machine learning to analyze user behavior and predict churn, identifying key engagement trends that led to a 15% increase in user retention and satisfaction
- Developed a Customer Lifetime Value (CLTV) prediction model, leading to a 10% increase in average CLTV through targeted retention efforts
Machine Learning Engineer
Mellat Bank
- Developed a sentiment analysis model using BERT to analyse Instagram comments, achieving over 85% accuracy and providing actionable insights for customer engagement strategies
- Developed a news trading algorithm using Fin-BERT and GPT-3 and sentiment analysis to predict short-term price movements in stock and Forex markets, achieving a 20% improvement in trading signal accuracy
- Developed machine learning models to predict cryptocurrency price movements using historical price data and news sentiment analysis
- Built an ensemble model combining XGBoost with a deep autoencoder to detect anomalies in credit card transactions in real time, reducing false positives by 25% and improving fraud recall by 15%
- Implemented a customer churn prediction model, reducing churn by 15% and enhancing customer retention strategies
- Built recommendation engines to suggest banking products to customers, enhancing cross-selling opportunities by 22%
- Engineered a forecasting model using DeepAR to predict credit usage with an R-square value exceeding 80%, optimizing financial planning
Data Scientist
Hosh and Dansh
- Created machine learning models to predict inventory needs, reducing holding costs by 15%
- Built models to predict customer churn, enabling proactive retention efforts that decreased churn rate by 12%
- Designed a personalized recommendation system that increased average basket size by 8%
- Implemented algorithms that adjusted pricing based on demand forecasting, increasing revenue by 10%
Industry Experience
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Experienced in Banking and Finance, Education, Information Technology, and Retail.
Business Area Experience
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Experienced in Business Intelligence, Information Technology, Investments and M&A, Marketing, and Supply Chain Management.
Skills
Programming
- Python
- R Programming
- Scala
Database Systems
- Snowflake
- Ms Sql Server
- Nosql
- Milvus
- Mongodb
- Bigquery
- Elasticsearch
- Postgre
- Chroma
Cloud
- Aws (S3, Glue, Redshift, Lambda, Kinesis)
- Google Cloud Platform (Gcp)
- Azure
ETL
- Airflow
- Dbt
- Ssis
- Ssas
Software Development
- Apis Services
- Docker
- Terraform
- Kubernetes
- Ci/cd
- Fastapi
- Git
- Github
- Slack
- Jira
- Confluence
- Kubeflow
- Agile Development
Reporting Tools
- Ms Power Bi
- Google Looker
- Tableau
- Metabase
- Google Analytics
- Data Studio
Big Data & Parallel Processing
- Apache Spark
- Ray
- Hadoop
Machine Learning & Predictive Analytics
- Regression Models
- Classification
- Time Series Analysis
- Deep Learning (Tensorflow, Pytorch)
- Llm
- Faiss
- Scann
- Huggingface
- Rag
- Bert
- Sentiment Analysis
- Nlp
- Vector Search
- Web Scraping
- Mmm
- Llama
- Lora
- Llama Index
- Langchain
- Transformers
- Pymc
- Pgvector
- Pytest
Languages
Education
Science and Culture University, Iran
Master of Financial Engineering and Risk Management · Financial Engineering and Risk Management · Tehran, Iran, Islamic Republic of
IU International University of Applied Sciences, Berlin
Master of Data Science · Data Science · Berlin, Germany
Azad University, Iran
Bachelor of Industrial Engineering · Industrial Engineering · Tehran, Iran, Islamic Republic of
Statistics
Experience
Global Experience
Expertise
Qualifications
Profile
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