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Ahmad Shohel

@ahmadshohel

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Senior data analyst specializing in retail and e-commerce forecasting, inventory optimization, and analytics.

United States

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What I'm looking for

I seek a role where I can apply forecasting, inventory optimization, and end-to-end analytics to drive measurable retail outcomes, collaborate cross-functionally, and scale data workflows.

I am a senior data analyst with over 8 years of experience in retail and e-commerce, focused on demand forecasting, inventory optimization, and customer analytics. I build scalable data pipelines and predictive models using SQL, Python, and modern ETL tools to improve stock availability and marketing ROI.

I have implemented ARIMA and Prophet forecasting, machine learning models (Random Forest, XGBoost), and automated ETL workflows with Informatica, dbt, and Airflow to deliver unified reporting from POS, OMS, WMS, and e-commerce systems. I create executive dashboards in Tableau and Power BI that drove measurable improvements in replenishment, fulfillment, and promotional effectiveness.

I collaborate closely with SCM, procurement, and store operations teams to translate complex data into actionable strategy, reduce stockouts and overstock, and optimize last-mile and reverse logistics. I emphasize data governance, reusable transformation logic, and stakeholder communication to ensure reliable insights and operational impact.

Experience

Work history, roles, and key accomplishments

Current

Sr. Data Analyst

Current

Staples

Apr 2023 - Present (2 years 7 months)

Consolidated POS, OMS, WMS and e‑commerce data to build demand forecasting and inventory optimization models, improving forecast precision and reducing stockouts/overstock through ARIMA/Prophet and ML pipelines. Delivered Power BI dashboards and automated alerts to drive real‑time replenishment and inventory decisions.

SQL Python Power BI ARIMA Prophet Snowflake SAP Oracle SCM Forecasting

Data Analyst

Burlington

Oct 2020 - Mar 2023 (2 years 5 months)

Analyzed POS, e‑commerce and app data to map customer journeys and segment behavior, built churn and personalization models, and delivered Tableau dashboards to improve CX, conversion funnels, and retention metrics across omnichannel touchpoints.

Tableau SQL Python Customer Segmentation Snowflake Firebase A B Testing Churn Modeling

Data Analyst

Hobby Lobby

Mar 2019 - Sep 2020 (1 year 6 months)

Integrated POS, RMS and OMS data to evaluate trade promotion effectiveness and SKU‑level sales lift, built promotion ROI scripts and Tableau dashboards, and automated ETL for promotion and inventory analyses to reduce promotional losses.

SQL Tableau Python Informatica Snowflake ETL

Data Analyst

The Home Dept.

Feb 2017 - Feb 2019 (2 years)

Supported time‑series forecasting and integration of POS/WMS/RMS data, contributed to Power BI dashboards tracking stock availability and fulfillment, and assisted in inventory analytics to reduce stockouts and improve replenishment.