Negin Miriyan
Berlin
Summary
I hold a Master of Science in Statistics, with additional studies in Software Engineering, my career in Data Science began in 2015. I've led the Data teams and deep-dived into advanced analytics and machine learning mostly in Saas companies. My expertise spans predictive modelling, and customer behaviour analysis through machine learning, neural networks and statistical techniques. Currently, I'm focusing on Generative AI, driven by a profound passion for Data Science and AI that integrates deeply into my life.
Overview
9
9
years of professional experience
2
2
Languages
Work History
Consultant data analyst/scientist
Diconium
11.2022 - Current
- Implemented complex and advanced analysis, including eCommerce platforms for B2B and B2C, both web and app
- AI Assurance: image classification: Cooperation in the implementation of machine learning methods in order to prepare a data product that guarantees the T
- V certificate
- Chatbot and generative AI: R&D about open-source chat bots and their risks
- Contributing to the development and testing of a customer support FAQ chatbot as evaluation and testing of its language performance
- Designed visualizations, and dashboards with analytical approaches for clients.
Data team lead
Karafs Company
12.2020 - 12.2022
- Investigated customer behaviour in the product and got insights to make data-driven decisions
- (clustering, classification and segmentation)
- Designed and analysed A/B tests to increase revenue and improve product functionality
- Derived actionable insights from massive data sets, defined pipelines and integrated the most important data into a data warehouse
- Helped product, marketing and financial teams to define effective KPIs such as churn rate, LTV, and ARPU
- Optimised prices with machine learning methods
- Developed a smart discount model with regression to optimise income
- Supported & coached other members of the team
- Analysed advertisement channels by marketing attribution models.
BI Developer
Yara Information Technology
06.2019 - 12.2020
- Developed ETL process using Python and T-SQL
- Developed modules for ETL process monitoring
- Designed data warehouse
- Created Dashboards by Power BI
- Detected fraud patterns from customer transactions.
Data Scientist
HASIN Group
09.2017 - 06.2019
- Utilised machine learning methods to detect the customer's behaviour
- Designed marketing dashboards
- Developed text mining methods for spam and fraud detection
- Developed a recommender system to recommend an in-app list with more clicks and downloads.
Junior Data Analyst
Sharif ICT Innovation Center
10.2015 - 09.2017
- Designed and analysed questionnaires to improve revenue
- Consulted and worked with the development team to determine, execute and deliver relevant solutions
- Provided information, feedback and guidance to clients to support technology-related decision-making
- Created analytical reports from the business.
Education
Master of Science - Biostatistics
Shahrekord University of Medical Science
Bachelor of Science - Statistics
University of Isfahan
Ph.D. - Computer Science And Programming
University of Tehran
Teheran 04.2001 -
Skills
Problem-solving
Active Learning
Strong communication skills with technical and product teams
Machine Learning
Data Mining
Data Visualization
Neural network
NLP
LLMs
Generative AI
RAG
Python
T SQL
MongoDB
SQL Query
API
Power BI
Git
NumPy
Pandas
Matlibplot
Sklearn
Azure machine learning
Git
Mainexperiences
- Data modelling
- Customer and product analysis
- Google Analytics, Web Analysis and Big Query
- SQL and MongoDB Queries
- Generative AI (LLMs and ChatBot)
- Data Mining and Machine Learning Algorithms
- AI insurance
- Predictive Modeling
- Developing ETL and making data warehouse
- Azure machine learning
Publications
- Joint prediction of occurrence of heart block and death in patient with myocardial infarction with artificial neural network model, https://koomeshjournal.semums.ac.ir/browse.php?a_id=3172&sid=1&slc_lang=en
- A Hybrid ANN-GA Model to Prediction of Bivariate Binary Responses: Application to Joint Prediction of Occurrence of Heart Block and Death in Patients with Myocardial Infarction, http://journals.umsha.ac.ir/index.php/JRHS/article/download/2385/1435
- Neural Correlates of Boredom in Music Perception, http://bcn.iums.ac.ir/article-1-498-en.html
Timeline
Consultant data analyst/scientist
Diconium
11.2022 - Current
Data team lead
Karafs Company
12.2020 - 12.2022
BI Developer
Yara Information Technology
06.2019 - 12.2020
Data Scientist
HASIN Group
09.2017 - 06.2019
Junior Data Analyst
Sharif ICT Innovation Center
10.2015 - 09.2017
Ph.D. - Computer Science And Programming
University of Tehran
04.2001 -
Master of Science - Biostatistics
Shahrekord University of Medical Science
Bachelor of Science - Statistics
University of Isfahan
Similar Profiles
Rebecca DavisRebecca Davis
Senior Innovation Manager at DiconiumSenior Innovation Manager at Diconium
JITENDER KUMARJITENDER KUMAR
Senior Software engineer at Diconium SolutionSenior Software engineer at Diconium Solution
Praveen KasamPraveen Kasam
Expert Site Reliability Engineering at Diconium Digital SolutionsExpert Site Reliability Engineering at Diconium Digital Solutions
Gabriel GarcíaGabriel García
Assistant Sound Engineer at Portstone StudiosAssistant Sound Engineer at Portstone Studios
Sataparba BhowmikSataparba Bhowmik
Student Research Assistant at Fraunhofer HHIStudent Research Assistant at Fraunhofer HHI