freiberufler Senior data scientist auf freelance.de

Senior data scientist

zuletzt online vor wenigen Tagen
  • auf Anfrage
  • 50968 Köln
  • DACH-Region
  • hi  |  en  |  de
  • 05.03.2024

Kurzvorstellung

I am a Senior Data Scientist with 10+ years of experience in Data Science, Business Intelligence, Data Analytics, Big Data, and Automation. I have handled many projects involving Airflow, DBT Modeling, AWS, Python, R, SQL, GIT,Confluence & Jira.

Qualifikationen

  • Big Data
  • Business Intelligence (BI)
  • dashboard
  • data eng.
  • Data Science
  • Statistik (allg.)
  • Tableau

Projekt‐ & Berufserfahrung

Senior Data Scientist Consultant – Price strategy
Hoffmann Group, munich
12/2021 – 10/2022 (11 Monate)
Großhandel
Tätigkeitszeitraum

12/2021 – 10/2022

Tätigkeitsbeschreibung

Customer segmentataion, Price modelling, recomendation system for eshop , dashbaord creation

Eingesetzte Qualifikationen

Python

Senior Data Scientist
Sellerx, Koln
8/2021 – 10/2021 (3 Monate)
Konsumgüterindustrie
Tätigkeitszeitraum

8/2021 – 10/2021

Tätigkeitsbeschreibung

1. Created Marketing data pipelines. Integrated them into AWS.
2. Improved data accuracy, completeness, and consistency using automated workflows.
3. Deployed classification model for Amazon ASINs (expected revenue impact of € 1M in 2022)

Eingesetzte Qualifikationen

Big Data, Cloud Computing, Data Science, Engineering data management (EDM)

Senior Data Scientist (Festanstellung)
HRS, koln
9/2017 – 7/2021 (3 Jahre, 11 Monate)
Dienstleistungsbranche
Tätigkeitszeitraum

9/2017 – 7/2021

Tätigkeitsbeschreibung

2.1. “Recommendation Engine” for customers, B2B and B2C by Collaborative filtering & product similarity,
using deep learning tools.Project Value (PV): 300k €.
2.2. Room night pricing prediction for each location. This will help the company in saving the cost of traveling
for top clients like Siemens, Google, etc. PV: 100k €.
2.3. “No Show” prediction, will help the hotel partners and HRS to stop fake bookings. PV: 140k €
2.4. Modeled customer clusters for further analysis and helped to boost target sales. Recently, Won Euro
wings and many other major customers.
2.5. “Next destination” prediction based on what was searched in the HRS site. (Famously known as Amazon
prediction, Amazon predicts what we will buy if we are searching for something on their site). PV: 20K €.
3. Modeled “uplift revenue analyses” of the loyalty program launched by various partners.
4. Automated all existing reports: daily, weekly and monthly.
5. Team lead of Data science team in Mumbai:
6. Also serving as Team lead for DS in Indian, working on a project called, customer behavior to find out
customer stickiness for hotels and by collaborative filtering & CatBoost

Eingesetzte Qualifikationen

Cloud Computing, Data Science, Engineering data management (EDM)

Customer Intelligence Analyst (Festanstellung)
Vestas, Copenhagen
6/2015 – 7/2017 (2 Jahre, 2 Monate)
Fertigungsindustrie
Tätigkeitszeitraum

6/2015 – 7/2017

Tätigkeitsbeschreibung

1. Customer Intelligence domain lead at HQ, Corporate Strategy Department.
2. Deployed Wind Turbines (Vestas) performance analytics engine, future malfunctions and breakdown prediction, downtime minimization.
3. Data transformation for commercial use, business applications and market analysis.
4) Pre-deal analysis (Lead role) for Vestas’ key accounts, helped sales team to achieve final deal of 100MWs in a mature market.
5. Successfully delivered Go-To-Market strategy for Vestas’s growth markets, with my final recommendations to BUs’ marketing directors.
6) Supervised research through external agencies like Bloomberg, McKinsey & Co, Forest & Sullivan, and MAKE - forming long-term partnerships, SoPs for data delivery both for data quality and time.
7) Delivered multidimensional customer behavior analytics, including:
i) Customer perception for Vestas
ii) Customer demands and expectations
iii) Buying criteria
iv) Customer view on trends and market expectation
8) Market intelligence:
9) Part of competitor intelligence, following competitors' moves and financials
10) Helping the MI team in market sizing and market share forecast

Eingesetzte Qualifikationen

Business Intelligence (BI), Datenanalyse

Marketing Intelligence Analyst (Festanstellung)
Philips, Dubai
6/2013 – 3/2015 (1 Jahr, 10 Monate)
Konsumgüterindustrie
Tätigkeitszeitraum

6/2013 – 3/2015

Tätigkeitsbeschreibung

1. Led the market intelligence effort with Saudi counterparts to develop a full M&A analysis for a large JV of $235 million in the region. The JV achieved an increase in total sales by 70% for the year (2015).
2. Led the development of market sizing & Go-to-market strategy, played a key role in the company’s strategy in ME, leading to “on top” of the market by € 520 Million for Philips MET region.
3. Won “Superhero” award for distinguished work on Customers, Markets and Competitor intelligence (10+ competitors). Nominated for best practice award, globally (100+ competitors).
4. Developed econometric model frameworks for market sizing worth €4+ billion, which included segmentation, forecasting, market movements, market share.
5. Developed “Usage & Attitude” for luminaries for a market size of € 430 million, assisted the market communication department to get their 1st TV ad for Philips lighting in ME.
6. Supervised research through external agencies like EIU, McKinsey & Co, Forest & Sullivan, and Euro monitor by forming long-term partnerships and controlling the supply of timely data.

Eingesetzte Qualifikationen

Business Intelligence (BI), Data Science

Zertifikate

Master of Arts in Economics
2009

Über mich

I have 10 years of experiance in data science & dash board creation under business intelligence .
My technical expertise :
Data Scienece ; Python ; Tableau ; Power BI ; Airflow ; AWS Sagemaker ; AWS codecommit ; AWS Lambda ; Tensorflow ; Scikit-Learn ; Git; Github; SQL; end to end automation

Weitere Kenntnisse

I have 10 years of experiance in data science & dash board creation under business intelligence .
My technical expertise :
Data Scienece ; Python ; Tableau ; Power BI ; Airflow ; AWS Sagemaker ; AWS codecommit ; AWS Lambda ; Tensorflow ; Scikit-Learn ; Git; Github; SQL; end to end automation




Persönliche Daten

Sprache
  • Englisch (Fließend)
  • Deutsch (Gut)
  • Hindi (Muttersprache)
Reisebereitschaft
DACH-Region
Arbeitserlaubnis
  • Europäische Union
Home-Office
bevorzugt
Profilaufrufe
609
Alter
37
Berufserfahrung
12 Jahre und 11 Monate (seit 04/2011)
Projektleitung
10 Jahre

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