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Artificial Intelligence Business Analysis Machine Learning (ML)
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Lukasz K.

@lukaszkuncewicz

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Artificial Intelligence / Machine Learning

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Poland (6:37 AM)

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Joined on July 30, 2016

SUMMARY: ● I specialize in ROI optimization using ML / AI: - segmenting clients + differentiating their offers (personalization) - recommender systems (products with the highest purchase probability) - suggesting traffic acquisition with the best predicted ROI - fraud detection - data auto-correction ● I use a mix of different tools, mostly python + scikit-learn + keras + MySQL

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Portfolio

Portfolio

2873937
For a client in the media industry (I can’t name them due to our agreement) I wrote a system that optimizes their ROI by predicting where (on which of 50,000 websites) their invest will bring positive ROI, and hence eliminating losing money BEFORE they start their campaigns. The client buy a lot of high volume traffic by placing their banners or landing pages as pop-unders, and the decision on where to put banners or fix pop-unders has a direct and huge impact on the financial effectiveness of their business. On average, the system eliminates about 50% of their cost, delivering the same income (in the initial phase).

ROI optimization

For a client in the media industry (I can’t name them due to our agreement) I wrote a system that optimizes their ROI by predicting where (on which of 50,000 websites) their invest will bring positive ROI, and hence eliminating losing money BEFORE they start their campaigns. The client buy a lot of high volume traffic by placing their banners or landing pages as pop-unders, and the decision on where to put banners or fix pop-unders has a direct and huge impact on the financial effectiveness of their business. On average, the system eliminates about 50% of their cost, delivering the same income (in the initial phase).

ROI optimization

For a client in the media industry (I can’t name them due to our agreement) I wrote a system that optimizes their ROI by predicting where (on which of 50,000 websites) their invest will bring positive ROI, and hence eliminating losing money BEFORE they start their campaigns. The client buy a lot of high volume traffic by placing their banners or landing pages as pop-unders, and the decision on where to put banners or fix pop-unders has a direct and huge impact on the financial effectiveness of their business. On average, the system eliminates about 50% of their cost, delivering the same income (in the initial phase).

ROI optimization

For a client in the media industry (I can’t name them due to our agreement) I wrote a system that optimizes their ROI by predicting where (on which of 50,000 websites) their invest will bring positive ROI, and hence eliminating losing money BEFORE they start their campaigns. The client buy a lot of high volume traffic by placing their banners or landing pages as pop-unders, and the decision on where to put banners or fix pop-unders has a direct and huge impact on the financial effectiveness of their business. On average, the system eliminates about 50% of their cost, delivering the same income (in the initial phase).

ROI optimization

2873929
For one of the biggest job portals in Poland (www.poloniusz.pl) I wrote a system that reduces the amount of manual work they put into checking if the offers reported by employers are in line with the law and the portal’s Terms and Condition. The portal on average gets about 200 new offers daily, and checking an offer is a complicated task – so even if they spend only 2 minutes on each offer, it sums up to 200 manhours monthly. With the help of the new system, they were able to reduce the amount of work to 18 manhours monthly – achieving a nice 91% efficiency improvement.

Fraud detection

For one of the biggest job portals in Poland (www.poloniusz.pl) I wrote a system that reduces the amount of manual work they put into checking if the offers reported by employers are in line with the law and the portal’s Terms and Condition. The portal on average gets about 200 new offers daily, and checking an offer is a complicated task – so even if they spend only 2 minutes on each offer, it sums up to 200 manhours monthly. With the help of the new system, they were able to reduce the amount of work to 18 manhours monthly – achieving a nice 91% efficiency improvement.

Fraud detection

For one of the biggest job portals in Poland (www.poloniusz.pl) I wrote a system that reduces the amount of manual work they put into checking if the offers reported by employers are in line with the law and the portal’s Terms and Condition. The portal on average gets about 200 new offers daily, and checking an offer is a complicated task – so even if they spend only 2 minutes on each offer, it sums up to 200 manhours monthly. With the help of the new system, they were able to reduce the amount of work to 18 manhours monthly – achieving a nice 91% efficiency improvement.

Fraud detection

For one of the biggest job portals in Poland (www.poloniusz.pl) I wrote a system that reduces the amount of manual work they put into checking if the offers reported by employers are in line with the law and the portal’s Terms and Condition. The portal on average gets about 200 new offers daily, and checking an offer is a complicated task – so even if they spend only 2 minutes on each offer, it sums up to 200 manhours monthly. With the help of the new system, they were able to reduce the amount of work to 18 manhours monthly – achieving a nice 91% efficiency improvement.

Fraud detection

2873937
For a client in the media industry (I can’t name them due to our agreement) I wrote a system that optimizes their ROI by predicting where (on which of 50,000 websites) their invest will bring positive ROI, and hence eliminating losing money BEFORE they start their campaigns. The client buy a lot of high volume traffic by placing their banners or landing pages as pop-unders, and the decision on where to put banners or fix pop-unders has a direct and huge impact on the financial effectiveness of their business. On average, the system eliminates about 50% of their cost, delivering the same income (in the initial phase).

ROI optimization

For a client in the media industry (I can’t name them due to our agreement) I wrote a system that optimizes their ROI by predicting where (on which of 50,000 websites) their invest will bring positive ROI, and hence eliminating losing money BEFORE they start their campaigns. The client buy a lot of high volume traffic by placing their banners or landing pages as pop-unders, and the decision on where to put banners or fix pop-unders has a direct and huge impact on the financial effectiveness of their business. On average, the system eliminates about 50% of their cost, delivering the same income (in the initial phase).

ROI optimization

For a client in the media industry (I can’t name them due to our agreement) I wrote a system that optimizes their ROI by predicting where (on which of 50,000 websites) their invest will bring positive ROI, and hence eliminating losing money BEFORE they start their campaigns. The client buy a lot of high volume traffic by placing their banners or landing pages as pop-unders, and the decision on where to put banners or fix pop-unders has a direct and huge impact on the financial effectiveness of their business. On average, the system eliminates about 50% of their cost, delivering the same income (in the initial phase).

ROI optimization

For a client in the media industry (I can’t name them due to our agreement) I wrote a system that optimizes their ROI by predicting where (on which of 50,000 websites) their invest will bring positive ROI, and hence eliminating losing money BEFORE they start their campaigns. The client buy a lot of high volume traffic by placing their banners or landing pages as pop-unders, and the decision on where to put banners or fix pop-unders has a direct and huge impact on the financial effectiveness of their business. On average, the system eliminates about 50% of their cost, delivering the same income (in the initial phase).

ROI optimization

2873929
For one of the biggest job portals in Poland (www.poloniusz.pl) I wrote a system that reduces the amount of manual work they put into checking if the offers reported by employers are in line with the law and the portal’s Terms and Condition. The portal on average gets about 200 new offers daily, and checking an offer is a complicated task – so even if they spend only 2 minutes on each offer, it sums up to 200 manhours monthly. With the help of the new system, they were able to reduce the amount of work to 18 manhours monthly – achieving a nice 91% efficiency improvement.

Fraud detection

For one of the biggest job portals in Poland (www.poloniusz.pl) I wrote a system that reduces the amount of manual work they put into checking if the offers reported by employers are in line with the law and the portal’s Terms and Condition. The portal on average gets about 200 new offers daily, and checking an offer is a complicated task – so even if they spend only 2 minutes on each offer, it sums up to 200 manhours monthly. With the help of the new system, they were able to reduce the amount of work to 18 manhours monthly – achieving a nice 91% efficiency improvement.

Fraud detection

For one of the biggest job portals in Poland (www.poloniusz.pl) I wrote a system that reduces the amount of manual work they put into checking if the offers reported by employers are in line with the law and the portal’s Terms and Condition. The portal on average gets about 200 new offers daily, and checking an offer is a complicated task – so even if they spend only 2 minutes on each offer, it sums up to 200 manhours monthly. With the help of the new system, they were able to reduce the amount of work to 18 manhours monthly – achieving a nice 91% efficiency improvement.

Fraud detection

For one of the biggest job portals in Poland (www.poloniusz.pl) I wrote a system that reduces the amount of manual work they put into checking if the offers reported by employers are in line with the law and the portal’s Terms and Condition. The portal on average gets about 200 new offers daily, and checking an offer is a complicated task – so even if they spend only 2 minutes on each offer, it sums up to 200 manhours monthly. With the help of the new system, they were able to reduce the amount of work to 18 manhours monthly – achieving a nice 91% efficiency improvement.

Fraud detection

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