this is my revised resume, 
Skills _________________________________________________________________________________________

•   Programming: Python (scikit-learn, SciPy, Keras, TensorFlow, Pandas, NumPy, Matplotlib) | R | SQL
•   Technologies: Spark | Databricks | Tableau | Power BI
•   Statistics/ML techniques: XGBoost, LightGBM, Deep Learning, Linear/Logistic Regression, K Nearest Neighbors (KNN), Clustering, CART, Random Forests, Support Vector Machines, Principal Component Analysis, ARIMA, Time Series Analysis               

Experience _____________________________________________________________________________________

Lead Data Science Graduate Consultant	              Nestlé                                  Arlington, VA     01/2024 - 04/2024
•   Spearheaded the development of novel data-driven demand forecasting solutions for new items with short historical data and low-volume items, addressing traditionally challenging forecasting requirements (Python)
•   Employed feature engineering techniques using MSTL models to create trend and seasonal features, and leveraged ARIMAX models to learn the enriched dataset, enabling the high forecast accuracy levels achieved
•   Achieved 66% forecast accuracy for low-volume items, surpassing the target of 60% , while maintaining a bias below 2% and reducing forecasting runtime by 12% to 3.5 hours
•   Delivered 68% forecast accuracy for new products, exceeding the 60% target, with a bias under 2% and a runtime of 25 minutes, enabling efficient inventory planning to mitigate overproduction risks and meet customer demand
•   Initiated the creation of a deliverable roadmap and led weekly cross-functional meetings with Data Scientists, and stakeholders to align goals, prioritize bottlenecks, and drive continuous improvement in forecasting processes

Real Estate Consulting      		             Independent Consultant	               Vietnam     03/2020 - 06/2022
•   Provided real estate consulting services and facilitated land transactions 

Research Analyst 			       Formidable Asset Management           Cincinnati, OH     08/2018 - 11/2019
•   Conducted financial research and analysis, including economic data assessment, portfolio development, and equity reports

Financial Analyst				Kingsley and Company                    Cincinnati, OH     06/2017 - 08/2018	 
•   Conducted financial modeling, and transaction execution for the company's hotel portfolio, including negotiating financing terms

Education _____________________________________________________________________________________   
 
M.S. in Business Analytics (STEM) | 3.98/4.00	University of Cincinnati                  Cincinnati, OH     08/2023 - 08/2024
•   Relevant Coursework: Statistical Modeling, Machine Learning, Data Mining, Optimization

M.S. in Finance | 3.94/4.00			University of Cincinnati                  Cincinnati, OH     08/2018 - 05/2019	                               

B.S.B.A. in Finance and Economics | 3.66/4.00 	     Xavier University                         Cincinnati, OH     08/2013 - 05/2017

Projects ______________________________________________________________________________________ 

Kroger Transactions Data Analytics (Python)			                                                           
•   Integrated 2M+ transaction and demographic records to create unified analytics dataset
•   Exploratory analysis revealed underserved 55+ segment in high-growth health/wellness categories
•   Analyzed purchasing patterns to identify barriers and drivers for 55+ demographic
•   Impact: Recommended strategies to realign offerings and marketing, unlocking significant revenue upside

Bank Marketing Campaign Predictive Analytics (R)
•   Developed predictive model to identify customers likely to subscribe to term deposits for targeted marketing
•   Evaluated statistical models, optimized framework to predict prospective conversions with high accuracy
•   Prevented data leakage, calibrated model for reliable subscription probability estimates on new data
•   Impact: Targeted marketing campaign to 500 households based on the predictive model, resulting in 233 new term deposit accounts opened, driving significant new deposit acquisition and revenue for the bank

AdventureWorks Employee Data Analytics (SQL)						      
•   Calculated the number of months employees have worked at the company
•   Analyzed the gender distribution of salaried employees by organization level
•   Identified the current pay rate for each employee
•   Impact: Fueled data-driven people analytics and business decisions through comprehensive employee data analysis
I have incorporated the feedback I received, check to see if I have missed anything  remove "for Family Business". Companies don't need to know about it.
for non-SWE related work, you want to keep it short. You do want to mention them to let the companies know you've been working, but I would keep at max one bullet point foreach, simply outlining what the job was about.
With the extra space you gained by removing non-swe related role descriptions, you want to fill them all with as much SWE-related bullet points as possible. If the DS grad consultant is the swe-related role, try providing more details there.
Great job quantifying your work. At the same time, try to explain more what the impact was. Most of the people do not fully understand what you did at work. For instance, what impact did 66% forecast accuracy have? Why was this impactful and why is this a significant/meaningful number (besides surpassing the target)? Explain your impact in a way that's more tangible to those who have no context of your work.
same goes for your projects. What was the impact of cleaning +2M transactions? why was thiis needed in the first place? Identified key product for what?
The SWE job market still isn't great, and it's uncertain how much more traction the improvement will bring, but I still think it's a good opportunity for you to think more about your impact and work on better presenting yourself. If ur project isnt impactful enough, u should try to make it. Or elaborate what its benefit is. Why was this project important? Why was it needed? What real-world problem did it solve?