Data Analyst II at Craftech Digital (2024-06 – Present)
- Leading demand forecasting for a client's Amazon brands by building predictive models on historical sales time series data
- Implemented LSTM model to capture complex, non-linear patterns in Amazon sales history using Power BI, producing forward-looking demand signals that gave the supply chain team advance visibility into upcoming demand rather than reacting to stock-outs.
- Applied and compared Random Forest and XG-Boost models for demand prediction, evaluating performance using MAE, RMSE, and R²
- Built inventory optimization frameworks by analyzing stock levels, sell-through rates, and supplier lead times, translated model outputs into reorder point recommendations that reduced overstock risk and minimized lost sales from stock-outs.
- Analyzed historical advertising data for an in-house computer hardware brand to identify the relationship between ad spend and revenue.
- Used diagnostic analysis method to analyze the campaign's revenue drop by using root-cause analysis and drilling-down the data.
- Built a revenue forecasting model using Linear Regression through Python to predict expected returns based on planned ad spend
- Integrated Generative AI through Chatgpt and Claude into predictive analytics workflows to accelerate feature engineering, model interpretation, and insight generation.
- Wrote DAX measures and calculated columns in Power BI to build custom KPIs, dynamic aggregations, and time intelligence calculations such as MTD, QTD, and YoY comparisons
- Designed and maintained Power BI dashboards covering descriptive, diagnostic, and prescriptive analytics.
- Conducted prescriptive analysis on supply chain and marketing data by building scenario models in Power BI that helped business teams evaluate trade-offs and plan confidently under uncertainty
- Have used Microsoft SQL Server to manage and retrieve data of client's Amazon supply chain operations
- Have used artificial intelligence to assist in writing SQL queries and Python code.
- Have used libraries like Numpy, Pandas, Seaborn, Scikit-learn, matplotlib for data analysis
Junior Data Analysis at Pure Corporation (2022-03 – 2024-05)
- Analyzed sales and inventory data for a Canadian hotel linen supplies brand, tracking product movement across SKUs to help the team understand which items were overstocked or running low
- Used ETL technique to Clean, transform and organize messy raw datasets pulled from internal systems before loading
- Built and maintained dashboards using Power BI to monitor key metrics like order volume, return rates, and product category performance, which gave the sales and operations team a clearer picture of how the linen product line was performing month over month
- Worked on a client-facing project where I helped structure their data requirements, mapped their existing data to reporting needs, and prepared summaries through descriptive analysis
- Observed patterns in seasonal demand for hotel linen products and documented findings in simple reports, which helped the team anticipate demand spikes around peak hospitality seasons in the Canadian market
- Assisted in generating weekly and monthly performance reports by pulling data from spreadsheets, SQL servers and other internal tools
- Used Excel and basic SQL queries to answer improvised data questions from the team.
- Got understanding of predictive analysis and basic ML algorithms
- Worked on basic python programming
IIOT Intern at Mindstorm Engineering (2021-12 – 2022-01)
- Worked on PLC'S for operational technology department
- Worked on programming of PLC'S
- Worked on mqtt, node-red, and various cloud platforms for IT layer
- Observed main concept of IOT in industries and worked on it
Electrical Intern at Artistic Milliners (2021-06 – 2021-08)
- Worked on steam turbine, observed different components of it
- Observed operational principle of steam turbine
- Observed different brands of engines and its operational principle and efficiency
- Observed how electricity is produced from turbines and engines and how it is distributed to feeders
