Sarvina Salokhiddinova

Data Scientist with 2+ years of experience in data analytics and machine learning in telecom and banking industries. Experienced in developing machine learning models, building analytical datasets and data marts, and automating ML pipelines. Strong skills in Python, SQL, and big data processing using PySpark. Experienced in production workflows using Apache Airflow and evaluating model performance with statistical testing and experimentation.

• Recommendation System (Implicit ALS), Developed a recommendation system based on implicit user feedback., preprocessing user interaction data, building sparse matrices, scaling interaction weights, generating top-N recommendations, offline evaluation of recommendation quality
• ML Pipeline Automation, Developed an automated pipeline for machine learning model training and scoring., data extraction and preprocessing, model training and evaluation, scheduling pipelines with Apache Airflow, storing model predictions in analytical tables
• Telecom User Segmentation (PySpark), Processed large telecom datasets using PySpark and built datasets for analytical modeling., distributed data processing, feature preparation for models, user segmentation analysis, behavioral analysis of telecom customers
• A/B Testing for Recommendation Model, Designed a basic experiment framework to evaluate recommendation performance., defining evaluation metrics, comparing baseline vs model recommendations, statistical hypothesis testing, interpreting experiment results

• Russian, C2
• English, C1
• Tajik, Native
• Uzbek, B2