04.02.2025 aktualisiert
100 % verfügbar
Manager Data Analytics, Data scientist
Kaufbeuren, Deutschland
Weltweit
Master of Science, StatisticsSkills
Data AnalysisPyspark
Project Managermt
End to end AI Lifecycle
Python
AQL
AWS
Tableau
PySpark
Application integration
End to end AI Lifecycle
Python
AQL
AWS
Tableau
PySpark
Application integration
Sprachen
DeutschgutEnglischverhandlungssicher
Projekthistorie
1. Led a team of data professionals to design and implement customer analytics solution using NLP(Transformers) that drove 8% increase in customer satisfaction(collective).
2. Implementation of product recommendation of machine parts for ecommerce channel to increase cross sell and help customers identify right parts with ease. Helped to surge interaction with the site by 3% and approx. $1M additional revenue.
3. Educate senior level executives on what analytics can do with the data we have and strategies analytics roadmap to enrich the backlog for future Iteration Planning. Evaluate available data and align with business objectives to arrive at the short and long-term must win battles.
4. Acquire external data to improve / compliment insights generated from the internal data
5. Collaborated with cross-functional teams to develop and execute data-driven retention analysis resulting in increase in repeated customers and reduction in customer acquisition cost.
6. Derive topics from customer survey text fields to understand drivers for Net promoters score, communicate and align with business to mitigate customer pain points. Employed transfer-learning (BERT) to derive topics.
7. Developed predictive maintenance solutions based on sensor data to identify the failures and opportunities.
8. Worked on several initiatives during the consulting phase and later to provide numerous data driven tactical advice. These were generally ad-hoc in nature with quick turnaround time.
9. Developed an image classification prototype as a passion project to classify and score the objects on my desk. This helped me to understand how to develop a deep learning model E2E.
2. Implementation of product recommendation of machine parts for ecommerce channel to increase cross sell and help customers identify right parts with ease. Helped to surge interaction with the site by 3% and approx. $1M additional revenue.
3. Educate senior level executives on what analytics can do with the data we have and strategies analytics roadmap to enrich the backlog for future Iteration Planning. Evaluate available data and align with business objectives to arrive at the short and long-term must win battles.
4. Acquire external data to improve / compliment insights generated from the internal data
5. Collaborated with cross-functional teams to develop and execute data-driven retention analysis resulting in increase in repeated customers and reduction in customer acquisition cost.
6. Derive topics from customer survey text fields to understand drivers for Net promoters score, communicate and align with business to mitigate customer pain points. Employed transfer-learning (BERT) to derive topics.
7. Developed predictive maintenance solutions based on sensor data to identify the failures and opportunities.
8. Worked on several initiatives during the consulting phase and later to provide numerous data driven tactical advice. These were generally ad-hoc in nature with quick turnaround time.
9. Developed an image classification prototype as a passion project to classify and score the objects on my desk. This helped me to understand how to develop a deep learning model E2E.
1. Developed customer analytics solution using NLP(Transformers) that helped organization to understand the insights.
2. Implementation of product recommendation of machine parts for ecommerce channel to increase cross sell and help customers identify right parts with ease. Helped to surge interaction with the website
3. Acquire external data to improve / compliment insights generated from the internal data
4. Collaborated with cross-functional teams to develop and execute data-driven retention analysis resulting in increase in repeated customers and reduction in customer acquisition cost.
5. Derive topics from customer survey text fields to understand drivers for Net promoters score, communicate and align with business to mitigate customer pain points. Employed transfer-learning (BERT) to derive topics.
6. Developed predictive maintenance solutions based on sensor data to identify the failures and opportunities.
7. Worked on several initiatives during the consulting phase and later to provide numerous data driven tactical advice. These were generally ad-hoc in nature with quick turnaround time.
8. Developed an image classification prototype as a passion project to classify and score the objects on my desk. This helped me to understand how to develop a deep learning model E2E.
2. Implementation of product recommendation of machine parts for ecommerce channel to increase cross sell and help customers identify right parts with ease. Helped to surge interaction with the website
3. Acquire external data to improve / compliment insights generated from the internal data
4. Collaborated with cross-functional teams to develop and execute data-driven retention analysis resulting in increase in repeated customers and reduction in customer acquisition cost.
5. Derive topics from customer survey text fields to understand drivers for Net promoters score, communicate and align with business to mitigate customer pain points. Employed transfer-learning (BERT) to derive topics.
6. Developed predictive maintenance solutions based on sensor data to identify the failures and opportunities.
7. Worked on several initiatives during the consulting phase and later to provide numerous data driven tactical advice. These were generally ad-hoc in nature with quick turnaround time.
8. Developed an image classification prototype as a passion project to classify and score the objects on my desk. This helped me to understand how to develop a deep learning model E2E.