overview
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
amphiphile inclusions in lipid membranes
phase transition
topology changes under lipid configuration changes
numeric calculation
numeric calculation for differential equations
lectures
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
audience affinity
from browsing behaviour understand audience affinity
geodata
understand regional differences
time series
time series forecast, exogen features
forecast
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
we collect an handover between cells per device (D1-Netz)
events to movements
we groups events into activities and trips
activity probability
density probability of activities between cells
daily patterns
people have different patterns every day
tourist patterns
split nationality, origin, counting activities
age, gender, device types
distribution of age classes per zip code
movements across the country
how people move during a day
most frequent origin and destination
important for local transportation companies
routing/infrastructure
we work on an efficient routing and infrastructure
local network
special modules consider city centers
subway module
distinguish the mean of transportation labelling cells (training data)
subway passangers
collecting information about commuters
intensity of activities
activity intensity: breaks of motorway drivers
collect important features
we select the most relevant features
training set
geographical information to train system
classification
we train our models to predict important features
compare external sources
public information from different sources
capture rate
calculate the coverage of a commercial activity
whitespot analysis
customer potential on regions not covered within a isochrone
time dependent data
weather/time dependent data
geo static information
predict absolute values
learning process
scoring, cross validation, classification
evaluate data and time series
series clustering, distribution, class stability
Logistic
demand prediction, fleet optimization
Berlin
AI lead 19-20
demand - offer areas
activation, revenues, app opening, errors
location intelligence
spot the relevant geo data for predictions
motion patterns
start, end, route, deviations, graphs
fleet dispatch
optimization engine for fleet dispatch
graph routing
from street network
ai - reinforcement learning
reinforcement learning to tune the simulation
infrastructure design
microservice based, parallel, asynchronous
frontend
interaction frontend, ui interaction with the solution
documentation - libraries
documentation libraries on github
Call center optimization
Metric/infra design, client stakeholding
Berlin
Director of advanced analytics 20-22
metric design
Metric as a tradeoff of revenue and delivery capability
customer survivability
Churn factors, customer journey, survival rate
feature importance
drivers for conversion rate, uplift, maturation
maturation periodicity
check drivers week by week, monitor feature quality
data room
custom data visualization with js libraries
agent compensation
Simulation around the most effective reward
data pipe
infrastructure design, data pipes
strategic data consultant
Infra and language models - Berlin
freelance 22-23
designing and deployng infra
Analytical platform on prem
data pipelines
creating ETL jobs and schedule them
email outreach corrector
language model for email outreach
summarize books
Summaries are displayed and linked in a graph
geographical anonymizator
loads a file and parse sensitive data before dumping to a db
logistics mini hubs
spots the best location for mini hubs (temporary parcel storages)