Ayesha Saif

01/

What tools and technologies do you use

I work with a wide range of tools including Power BI, Excel, SQL, Python, Azure, and Tableau. Depending on the project, I also use tools like PySpark, Airflow, and cloud platforms like AWS or GCP to handle big data and automate workflows.

02/

Can you build both dashboards and predictive models?

Yes. I’ve built automated dashboards for reporting as well as machine learning pipelines for customer satisfaction, keyword optimization, and forecasting using models like Random Forest, XGBoost, and Logistic Regression.

03/

Do you work better in business teams or technical teams?

Both. I’ve collaborated with marketing and product teams to define KPIs and insights, while also working closely with engineers and data scientists on pipeline development, model tuning, and deployment processes.

04/

How can I collaborate with you?

You can reach out through my contact form or email me directly. Whether it's a short-term analytics request, dashboard development, or model-building support, I’d love to learn more about your goals and how I can help.

05/

What kind of data problems do you typically solve?

I specialize in uncovering insights from transactional, marketing, and customer data. My past work includes reducing PPC spend through SEO analysis, improving campaign ROI with predictive modeling, and identifying churn risk using segmentation and sentiment analysis.

01/

What tools and technologies do you use

I work with a wide range of tools including Power BI, Excel, SQL, Python, Azure, and Tableau. Depending on the project, I also use tools like PySpark, Airflow, and cloud platforms like AWS or GCP to handle big data and automate workflows.

02/

Can you build both dashboards and predictive models?

Yes. I’ve built automated dashboards for reporting as well as machine learning pipelines for customer satisfaction, keyword optimization, and forecasting using models like Random Forest, XGBoost, and Logistic Regression.

03/

Do you work better in business teams or technical teams?

Both. I’ve collaborated with marketing and product teams to define KPIs and insights, while also working closely with engineers and data scientists on pipeline development, model tuning, and deployment processes.

04/

How can I collaborate with you?

You can reach out through my contact form or email me directly. Whether it's a short-term analytics request, dashboard development, or model-building support, I’d love to learn more about your goals and how I can help.

05/

What kind of data problems do you typically solve?

I specialize in uncovering insights from transactional, marketing, and customer data. My past work includes reducing PPC spend through SEO analysis, improving campaign ROI with predictive modeling, and identifying churn risk using segmentation and sentiment analysis.

01/

What tools and technologies do you use

I work with a wide range of tools including Power BI, Excel, SQL, Python, Azure, and Tableau. Depending on the project, I also use tools like PySpark, Airflow, and cloud platforms like AWS or GCP to handle big data and automate workflows.

02/

Can you build both dashboards and predictive models?

Yes. I’ve built automated dashboards for reporting as well as machine learning pipelines for customer satisfaction, keyword optimization, and forecasting using models like Random Forest, XGBoost, and Logistic Regression.

03/

Do you work better in business teams or technical teams?

Both. I’ve collaborated with marketing and product teams to define KPIs and insights, while also working closely with engineers and data scientists on pipeline development, model tuning, and deployment processes.

04/

How can I collaborate with you?

You can reach out through my contact form or email me directly. Whether it's a short-term analytics request, dashboard development, or model-building support, I’d love to learn more about your goals and how I can help.

05/

What kind of data problems do you typically solve?

I specialize in uncovering insights from transactional, marketing, and customer data. My past work includes reducing PPC spend through SEO analysis, improving campaign ROI with predictive modeling, and identifying churn risk using segmentation and sentiment analysis.

Ayesha Saif

Ayesha Saif

Ayesha Saif

About me

Let's get in touch

Got Questions?

Got Questions?

Ayesha Saif

Ready to translate raw data into strategy? Reach out and let’s get started.

Ayesha Saif

Ayesha Saif

Ready to translate raw data into strategy? Reach out and let’s get started.

Ayesha Saif

Ayesha Saif

Ready to translate raw data into strategy? Reach out and let’s get started.

Ayesha Saif