Iman Abbasi

Iman Abbasi Email and Phone Number

Data Science Team Lead at SnappFood @ Snappfood
tehran, tehrān, iran
Iman Abbasi's Location
Tehran, Tehran Province, Iran, Iran, Islamic Republic of
About Iman Abbasi

Experienced Data Science Team Lead with a strong ability to manage teams for projects originating from various departments. Worked with over 100 individuals across 10+ teams, gaining exposure to diverse businesses and mastering their data landscapes. Expertise enables leading data science projects from A to Z, ensuring successful execution and delivery of impactful solutions.

Iman Abbasi's Current Company Details
Snappfood

Snappfood

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Data Science Team Lead at SnappFood
tehran, tehrān, iran
Website:
snappfood.ir
Employees:
341
Iman Abbasi Work Experience Details
  • Snappfood
    Data Science Team Lead
    Snappfood Jul 2024 - Present
    Tehran Province, Iran
    • Led a 6-member data science team, completing key projects on time.• Increased CTR by 8% and revenue by 3% with an advanced ads Brain.• Enhanced AOV by 5% with a data-driven incentivization strategy.• Directed the creation of a cutting-edge product tagging system for 1M products using LLMs.
  • Snappfood
    Senior Data Scientist
    Snappfood Nov 2023 - Jul 2024
    Tehran, Tehran Province, Iran
    • Engineered an item recommendation system using embeddings, matrix factorization, and cosinesimilarity, ranking 25% of orders within the top 4 suggestions.• Predicted weekly order counts with a MAPE of 3.7 ± 3.32, improving accuracy using historical dataand date features.
  • Smartech
    Senior Data Scientist
    Smartech Mar 2023 - Oct 2023
    Tehran, Tehran Province, Iran
    • Estimated user gender and age with 78% accuracy and 83% coverage, improving customer segmentation.• Engineered a CTR prediction model based on over 4 billion user events, enhancing ad targetingprecision.
  • Bama.Ir
    Data Science Team Lead
    Bama.Ir Jul 2022 - Mar 2023
    Tehran, Tehran Province, Iran
    • Supervised a 4-member data science team, ensuring project delivery on time.• Formulated and implemented a bump suggestion model, increasing sales bump efficiency from 1.5%to 5%.• Designed a search engine using TF-IDF and cosine similarity for optimized content retrieval.• Engineered a car price prediction model using XGBoost, achieving 95.5% accuracy.
  • Bama.Ir
    Senior Data Scientist
    Bama.Ir Sep 2021 - Jul 2022
    Tehran, Tehran Province, Iran
    One of the largest car buying and selling platforms in Iran (like Carvago.com and Mobile.de in Europe) with more than 30 million website visits last year and 1 million app downloads in the markets. •Modeled a system to predict the price of the next day of the ad, which was 94.5% accurate in the first stage, and by improving it in the next stages, the accuracy reached 95.5%. For this purpose, I used the historical data, dollar price, and static and variable features of the vehicles. I implemented the model by CatBoost.
  • Hamrah Mechanic
    Senior Data Scientist
    Hamrah Mechanic Jan 2021 - Sep 2021
    Tehran, Tehran Province, Iran
    • Engineered an RF model for Car Sales Price Prediction, achieving a 6.2% error rate, and deployedan API with Flask.• Designed interactive dashboards to monitor KPIs like MAPE and coverage.
  • Diver دایور
    Data Mining Consultant
    Diver دایور Nov 2020 - Jan 2021
    Tehran, Tehran Province, Iran
    The Diver is a startup in the field of mobile payment and fintech. I designed a system for them that is sensitive to suspicious users and alerts the admin. The main basis of the work was the use of each user's data, and the amount of anomaly for the user was calculated in different categories, and these scores were added together.
  • Snappfood
    Senior Data Scientist
    Snappfood May 2019 - Dec 2020
    Tehran, Tehran Province, Iran
    • Constructed a data warehouse with 6 marts, optimizing queries and pipelines for better data indexing.• Predicted next-purchase times using historical data and 3-sigma limits to improve retention.• Launched a recommendation system with matrix factorization for 900K users
  • Chamedoon
    Data Scientist
    Chamedoon Jan 2019 - Aug 2019
    Tehran, Tehran Province, Iran
    Chamdoon was the first Iranian company to predict flight prices using artificial intelligence. •Collection of historical data using existing API •ETL and cleaning of collected data •Modeling the price of a flight with RF for the next 21 days with 82% accuracy •Create API to get results of the next 21 days' price
  • Mcihub
    Data Scientist
    Mcihub Oct 2017 - May 2019
    Tehran, Tehran Province, Iran
    MCIHUB is a company between Hamrah Aval (MCI) and Shahid Beheshti University, which works as a partner in the artificial intelligence and acceleration of Hamrah Aval (MCI). As a data scientist, I performed the following tasks: •Analyzing the data in the company using Python •Designing management dashboards (5 dashboards for 2 stakeholders) •Analysis of the company's telegram bots to increase engagement
  • Yaas Arghavani System Engineering
    Junior Data Scientist
    Yaas Arghavani System Engineering Jan 2017 - Sep 2017
    Tehran, Tehran Province, Iran
    I was a member of Mellat Bank's big data project, as a data scientist, we were solving the bank's problems using machine learning methods. These issues included the following: •Fraud and anomaly detection in various areas of the bank, such as dummy deposits, cashless checks, and anomalies in transactions. •Churn prediction with RF model and using historical user data (accuracy = 79%) •Customer segmentation with RFM and K-Means model
  • Parseh Group
    Business Intelligence Developer
    Parseh Group Mar 2016 - Feb 2017
    Tehran, Tehran Province, Iran
    Development of business intelligence services for clients of various industries •Holding meetings for customer requests and their needs assessment •Providing the most relevant and best KPI for existing problems •Developing and implementing ETL processes with Clover ETL and SSIS •Data visualization and dashboarding by Tableau (over 50 dashboards) •Analysing Customer basket with data mining (over 1 million records)
  • Sevensoft
    Software Programmer
    Sevensoft Oct 2014 - Mar 2016
    Tehran, Tehran Province, Iran
    Improvement and development of existing software in the field of sales, after-sales, and warehouse of the automotive industry •Meeting with customers to understand the issues •Database implementation and change •Programming new needs and customer-requested changes •Improve database performance •Initial demo of the software

Iman Abbasi Skills

Fraud Detection Cloudera Pandas Scikit Learn R Data Warehousing Social Network Analysis Anti Money Laundering Data Science Mongodb Predictive Modeling R (Programming Language Data Analysis Microsoft Sql Server Load Data Analytics Team Management Decision Trees Text Mining Tableau Time Series Analysis Apache Nosql Information Extraction Artificial Intelligence Programming Scipy Apache Spark Microsoft Excel Big Data Business Intelligence Supervised Learning Numpy Extract Sql Python Fraud Prevention Dashboard Fraud Analysis Machine Learning Analytics Statistical Modeling Transact Sql Transform Data Visualization Adobe Spark Data Mining Big Data Analytics Microsoft Power Bi Fraud Investigations Random Forest Databases

Iman Abbasi Education Details

Frequently Asked Questions about Iman Abbasi

What company does Iman Abbasi work for?

Iman Abbasi works for Snappfood

What is Iman Abbasi's role at the current company?

Iman Abbasi's current role is Data Science Team Lead at SnappFood.

What schools did Iman Abbasi attend?

Iman Abbasi attended University Of Tehran, University Of Isfahan, National Organization For Development Of Exceptional Talents (Sampad).

What skills is Iman Abbasi known for?

Iman Abbasi has skills like Fraud Detection, Cloudera, Pandas, Scikit Learn, R, Data Warehousing, Social Network Analysis, Anti Money Laundering, Data Science, Mongodb, Predictive Modeling, R (Programming Language.

Who are Iman Abbasi's colleagues?

Iman Abbasi's colleagues are Amir Hossein Ghasemi, Vahid Vaezinia, Maysam Maleki, Mohammad Ali Azizi, Hoda Arooni, Morteza Halimi, Hosein Maher.

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