Work Experience

My Professional Journey in Data Science and Analytics

Data Scientist

Jun 2023 - Present

Larkin Company (Remote)

Larkin Company provides data science solutions and services to external businesses across various sectors in the U.S.

Responsibilities & Achievements:
  • Designed, trained, and validated predictive models (classification, regression, clustering) in Python using Scikit-learn, applying cross-validation and documenting assumptions for reproducibility.
  • Built and maintained end-to-end ETL pipelines for structured data ingestion and transformation, optimizing AWS cloud storage and compute resources.
  • Developed and deployed NLP pipelines (sentiment analysis, topic modeling, clustering) leveraging LLMs and ML frameworks.
  • Implemented CI/CD and continuous training workflows for ML models, enabling automated testing, scheduled retraining, and production monitoring.
  • Conducted EDA to support data-driven recommendations on audience targeting, channel mix optimization, and budget allocation.
  • Analyzed multi-channel campaign performance and delivered insights on attribution and ROI.
  • Built interactive dashboards in Power BI, Tableau, and Amazon QuickSight for executive stakeholders, visualizing campaign ROI, engagement trends, and customer segments.
  • Built interactive dashboards in Power BI, Tableau, and Amazon QuickSight for executive stakeholders, visualizing campaign ROI, engagement trends, and customer segments.
Key Tools & Techniques:

Python, SQL, R, Scikit-learn, MLflow, LLMs, ETL, EDA, NLP, AWS, Docker, CI/CD, Predictive Modeling, Attribution Analysis,Digital Marketing Insights, Power BI, Tableau.

Data Analytics Engineer

April 2019 - December 2021

Roshan Rooz Company

Roshan Rooz Company, the largest Iran Stone Information Center, and the main holder of Iran's Stone Book. Provides digital marketing, data analysis for sale and marketing, and production tailored for this sector.

Responsibilities & Achievements:
  • Designed and developed data models and reports for sales, marketing, and production teams using SQL, Python, and Power BI.
  • Automated the data pipeline (ingestion, preprocessing, transformation, visualization), reducing reporting time.
  • Conducted EDA and created dashboards to monitor sales/marketing KPIs, improving campaign efficiency.
  • Integrated multiple data sources and APIs into large-scale KPI tracking systems, enabling end-to-end campaign performance analysis.
  • Developed ML techniques (predictive modeling, clustering) to enhance marketing analytics and production forecasting, supporting data-driven decisions.
  • Delivered measurable business impact: 12.5% reduction in material waste and 90% increase in average annual production, 120% in lead generation, and 70% in sales through operational analytics and adjusting sales strategy.
Key Tools & Techniques:

SQL, Python, Power BI, Tableau, AWS, Google Analytics, Looker, BigQuery, API Integration, Digital Marketing Insights, SEO/SEM.

Data Analyst

April 2017 - April 2019

Mobinnet Telecommunication Company

Mobinnet Telecommunication Company is one of Iran's largest Wireless Broadband Network operators.

Responsibilities & Achievements:
  • Developed automated dashboards and reports for marketing and sales units using Power BI, Google Data Studio, and DAX.
  • Created actionable KPIs (churn, CLV, CPL, conversion rate) to support lead generation and retention efforts.
  • Conducted performance analysis on digital campaigns, helping improve targeting and reduce cost per lead.
  • Used SQL and Python for customer data analysis, leading to better product bundling and pricing decisions.
Key Tools & Techniques:

Power BI, DAX, SQL, Python, Digital Channel Analytics, Traffic Analysis (G Ads, GA, GSC, Hotjar), Churn Modeling