working experience

working

experience

product

portfolio

mobility, numeric
e-commerce, advertising

Dr Giovanni Marelli

outline

  1. computational biophysics
  2. data analist
  3. data consultancy
  4. e-commerce
  5. ad-tech
  6. mobility
  7. logistic

computational biophysics



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


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

event collection
people have different patterns every day

tourist patterns

event collection
split nationality, origin, counting activities

age, gender, device types

event collection
distribution of age classes per zip code

movements across the country

event collection
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

event collection
distinguish the mean of transportation labelling cells (training data)

subway passangers

event collection
collecting information about commuters

intensity of activities

event collection
activity intensity: breaks of motorway drivers

collect important features

event collection
we select the most relevant features

training set

event collection
geographical information to train system

classification

event collection
we train our models to predict important features

compare external sources

event collection
Public information from different sources

capture rate

event collection
calculate the coverage of a commercial activity

whitespot analysis

event collection
customer potential on regions not covered within a isochrone

time dependent data

event collection
weather/time dependent data

geo static information

event collection
predict absolute values

learning process

event collection
scoring, cross validation, classification

evaluate data and time series

event collection
series clustering, distribution, class stability

Logistic




demand prediction, fleet optimization

Berlin

AI lead 19-20

demand - offer areas

event collection
activation, revenues, app opening, errors

location intelligence

event collection
spot the relevant geo data for predictions

motion patterns

event collection
start, end, route, deviations, graphs

fleet dispatch

event collection
optimization engine for fleet dispatch

graph routing

event collection
from street network

ai - reinforcement learning

event collection
reinforcement learning to tune the simulation

infrastructure design

event collection
microservice based, parallel, asynchronous

frontend

event collection
interaction frontend, ui interaction with the solution

documentation - libraries

event collection
documentation libraries on github

overview

event collection
overview of experiences

Resources

dauvi

github

linkedin

antani

intertino

geomadi