working experience

working

experience

product

portfolio

mobility, numeric
e-commerce, advertising

Dr Giovanni Marelli

overview

event collection
overview of experiences

computational biophysics



reasearcher, teaching - Göttingen/Padova

research assistant 08-12

viral fusion

fusion pathway and activation probability for viral fusion

bilayer membranes

different topologies of bilayer membranes

fusion pathway

fusion pathway

inclusion objects

event collection
amphiphile inclusions in lipid membranes

phase transition

event collection
topology changes under lipid configuration changes

numeric calculation

event collection
numeric calculation for differential equations

lectures

event collection
teaching, exercises, mentoring

signal theory

C++ native software for signal analysis and plotting

studies and programming

simulation and research in statistical physics

solid state

research in solid state, defect diffusion in silicon

guide - teacher

teacher - guide: museo della fisica, sperimentando

enterprise planning


ERP/CRM developer and integrator - Padova/Brescia

data consultant 13-14

offgrid electrification

feasibility study for offgrid electrification in Tanzania

databases - forms

db ingestion/reporting: milk factory, hospital, power plant

ERP CRM inventory

digitalisation of small firms, cloud solutions

webapp - portals

bringing ideas to user interfaces

apps

client based database manager - offline functions

electric violins

double funds to create viudì: electric violins

creative coding - arduino

openCV, openGL, openFrameworks, processing, arduino

d3 data visualization

data visualization and dashboards with d3.js

targeted e-commerce



A/B tests, conversion uplift

Frankfurt

Data scientist 14-15

product owner

product owner over product lifecycle

personalization

personalizing the display - conversion uplift

booking funnel

personalize user history

a/b testing

monitoring a/b tests

right lure, right fish

how to distinguish customer classes

onsite retargeting

simple paths prevent leakage, keep the user

text mining

NLP, listen to your customers

customer feedback

Sentiment, promoter score, personas

tracking

implement and connect trackers

targeted advertising





look alike, conversion uplift

Milano

Sr Data Scientist 16-17

audience affinity

from browsing behaviour understand audience affinity

geodata

understand regional differences

time series

time series forecast, exogen features

forecast

event collection
forecast on signal components

socio demo

socio demo, post evaluations

data pricing

data pricing per format, device, brand...

data visualization

data exploration with d3.js

taxonomy

content classification

time series dashboard

dashboard with live time series

audience offer

presenting a large number of targets

tracking

organize and connect trackers, sync data and ids

page labelling

reliable content labelling

mobility - transportation




movement patterns, commercial capture rate

Berlin

ML Expert 17-19

event collection

event collection
we collect an handover between cells per device (D1-Netz)

events to movements

event collection
we groups events into activities and trips

activity probability

event collection
density probability of activities between cells

daily patterns

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people have different patterns every day

tourist patterns

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split nationality, origin, counting activities

age, gender, device types

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distribution of age classes per zip code

movements across the country

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how people move during a day

most frequent origin and destination

event collection
important for local transportation companies

routing/infrastructure

event collection
we work on an efficient routing and infrastructure

local network

event collection
special modules consider city centers

subway module

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distinguish the mean of transportation labelling cells (training data)

subway passangers

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collecting information about commuters

intensity of activities

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activity intensity: breaks of motorway drivers

collect important features

event collection
we select the most relevant features

training set

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geographical information to train system

classification

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we train our models to predict important features

compare external sources

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public information from different sources

capture rate

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calculate the coverage of a commercial activity

whitespot analysis

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customer potential on regions not covered within a isochrone

time dependent data

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weather/time dependent data

geo static information

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predict absolute values

learning process

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scoring, cross validation, classification

evaluate data and time series

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series clustering, distribution, class stability

Logistic




demand prediction, fleet optimization

Berlin

AI lead 19-20

demand - offer areas

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activation, revenues, app opening, errors

location intelligence

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spot the relevant geo data for predictions

motion patterns

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start, end, route, deviations, graphs

fleet dispatch

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optimization engine for fleet dispatch

graph routing

event collection
from street network

ai - reinforcement learning

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reinforcement learning to tune the simulation

infrastructure design

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microservice based, parallel, asynchronous

frontend

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interaction frontend, ui interaction with the solution

documentation - libraries

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documentation libraries on github

Call center optimization


Metric/infra design, client stakeholding

Berlin

Director of advanced analytics 20-22

performance key factors

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driving features, feature dependency

metric design

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Metric as a tradeoff of revenue and delivery capability

customer survivability

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Churn factors, customer journey, survival rate

performance monitoring

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monitoring KPIs, performances, drivers

feature importance

event collectiondrivers for conversion rate, uplift, maturation

maturation periodicity

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check drivers week by week, monitor feature quality

data room

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custom data visualization with js libraries

agent compensation

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Simulation around the most effective reward

data pipe

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infrastructure design, data pipes

strategic data consultant


Infra and language models - Berlin

freelance 22-23

designing and deployng infra

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Analytical platform on prem

data pipelines

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creating ETL jobs and schedule them

email outreach corrector

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language model for email outreach

geographical anonymizator

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loads a file and parse sensitive data before dumping to a db

logistics mini hubs

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spots the best location for mini hubs (temporary parcel storages)

Resources

dauvi

github

linkedin

antani

intertino

geomadi