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ABOUT ME

I'm a Data scientist with 4+ years of experience in teaching, developing, tuning, and testing machine learning models. I love mathematics and I have a  strong background in statistics, design of experiments, time-series analysis. I'm a proficient Python programmer, know how to work with different data structures and stepped into the world of deploying my own models in cloud platforms.
For me, each data record comes from an interesting story. I see myself as someone who can tell that story.  I have broad-based experience in applying predictive data modeling to translate business insights into substantial deliverables and communicating action-oriented solutions to technical and non-technical audiences. I'm capable of increasing efficiency, accuracy, and utility of AIML algorithms. In my journey as a data scientist, I have tried to solve the problems in the field of anomaly detection, natural language processing, customer behavior, and sales and marketing analysis and I can't wait to learn more day by day.

 

PROFESSIONAL HISTORY

DATA SICENTIST, ACCEPTTO

2020 -  Now

  • Developing and improving Acceptto’s bio-behavioral anomaly detection machine learning algorithms as well as tuning, testing, and maintaining them aligned with customer needs.

  • Research and development for new algorithms used in detecting reliable devices using state-of-the-art nonparametric Bayesian models.

  • Constant improvement of Acceptto’s machine learning models in terms of algorithm performance metrics like accuracy, precision, and recall and design and developement of automatic hyperparameter tuning pipelines(with the precision and recall greater than 80%)

  • Communicating with the customers and taking care of their needs on AIML algorithms, feature selection,model tuning, and presenting Acceptto’s AIML models as a data scientist in customer meetings.

DATA SCIENTIST, DIGIKALA

May 2020 - Dec 2020

Detecting anomalies in product sales and conversion rates in different categories of retail and sales forecasting.
Customer analytics using machine learning methods. Predicting customer churn. Decision support for customer journeys and assessing different decisions based on large volumes of data.
Creating dashboards to visualize the results of the analytics tasks

BUSINESS INTELLIGENCE ANALYST, TAKHFIFAN

November 2018 - March 2019

  • Performing customer behavior analysis and segmentation.

  • Providing automated reports Helping with database optimization tasks in order to facilitate the querying processes.

DATA ANALYST, SNAPPFOOD

October 2017 - March 2018

Performing customer behavior analytics, loyalty models, customer segmentation and customer journey optimization
Analyzing sales anomalies in restaurant sales.

 

EDUCATION

M.SC , SHARIF UNIVERSITY OF TECHNOLOGY

September 2019 - December 2020

Socioeconomic Systems

Thesis Title: Investigation and Analysis in the relationship between social media data and cryptocurrency bubble fluctuations- To be published

Abstract: This thesis analyses the relation between Bitcoin price fluctuations with the sentiment data in Twitter. A novel news-based sentiment classifier was developed to correct the possible domain-based fallacies in the general classifiers. The prediction model was trained using neural networks and tree-based models.

B.SC, AMIRKABIR UNIVERSITY

January 2011 - June 2016

Mechanical Engineering

 
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SKILLS

PYTHON PROGRAMMING

Packages: Tensorflow, Scikit-learn, Scipy, NLTK, spaCy, Selenium, BeautifulSoup, pulp

DATABASE

MySQL
PostgreSQL
SQL Server
NoSQL

COMPUTING SKILLS

Git
Web Scraping
Regular Expressions
Command Line Interface
Docker

MACHINE LEARNING

Reinforcement Learning
Supervised Learning
Unsupervised Learning

STATISTICAL LEARNING

Design of Experiments
Time Series