Saifullah Haidar

Data Analyst with experience in Python, SQL, machine learning, statistical analysis, and business intelligence. Skilled in transforming raw data into actionable insights through predictive modeling, customer segmentation, experimentation, and dashboarding. Experienced in developing end-to-end analytics projects involving churn prediction, causal impact analysis, and customer behavior modeling.

Seeking opportunities in Data Analytics, Data Science, Analytics Engineering, and Junior Data Engineering.

Data Science Intern - Beal Projects LLC

(2021-03 - 2021-05)

• Developed a Random Forest classification model using SMOTE to predict customer complaint resolution outcomes.
• Extracted and analyzed data using SQL and Python.
• Created KPI dashboards to support business decision-making.
• Produced analytical reports and recommendations based on customer service data.

Data Science Intern - Breakthrough Data Science

(2019-12 - 2020-03)

• Generated recurring client reports using SQL and Excel.
• Built forecasting models using Lasso Regression, Random Forest, and ARIMA.
• Analyzed COVID-19 data using OpenBlender datasets.
• Presented insights through visual reports and business summaries.

Economics - Kushtia Government College

Data Science Training Program - Breakthrough Data Science