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Senior Data Scientist
Gowri Adimulam
,
London, United Kingdom
Experience
Other titles
Skills
I'm offering
A Certified Senior Data Scientist with good experience in Machine learning Algorithms, Deep Learning , Data Mining ,Python, R-Language, SQL, Python, Spark. Having worked in Various industries like Media, Banks/Finance, Manufacturing, Energy Utilities , Retail ands etc got me opportunity to understand requirements and problems of those respective industries.
Markets
United Kingdom
Language
English
Fluently
Chinese (Mandarin)
Good
Ready for
Larger project
Ongoing relation / part-time
Full time contractor
My experience
2019 - ?
job
SAPY Data Scientist
HSBC.
Key activities Performed:
• Accessing financial risks & Fraud Detection and developing suitable Machine learning algorithms
• Developing machine learning algorithms for Money laundering using deep learning techniques
• Porting SAS code to Python
• Accessing financial risks & Fraud Detection and developing suitable Machine learning algorithms
• Developing machine learning algorithms for Money laundering using deep learning techniques
• Porting SAS code to Python
Python, Machine learning, Deep learning, SAS, Algorithms
2017 - 2018
job
Senior Data Scientist
TetraPak.
Key activities Performed:
• Client & Stakeholder Management
• Defining/Qualifying Data science projects
• Defining & Implementing Data science projects Architectural Flow
• Predictive maintenance (Named few), Used Various techniques/Algorithms Including Deep Learning(ANN,CNN), SAX -VSM, XgBoost and others(R & Python)
a) Servo Motors failure classification & Prediction
b) Electrical cabinet Feature generation & Risk Indicators
c) Sensor validations
d) Vibration Analysis
• Reinforced Learning - eBeam Failure Prediction. (Python)
• Computer Vision/ Robot Vision inside Chamber (using CNN , TensorFlow, Python)
• Predicting Remaining Useful Life(RUL) of components(R)
• Forecasting of safety Indicators/features -LSTM(TensorFlow, Python) and Arima(R)
• Feature generation from raw signals using various techniques(Discrete Fourier Transform, Z transforms and other techniques).(R & Python)
• Price & Quantity (Marketing Analytics) Analysis & Prediction using various Algorithms.
• Creating custom R packages
• Data mart creations(Azure) using pySpark, USQL and other techniques
• Creating Dashboards using python Dash
• Evaluating Deployment pipeline tools like DataIku, Alteryx Promote and etc
• Project Reviews on quarterly basis.
• Standardizing validations -Test Strategy- Test bench to evaluate the performance of algorithms
July 2017 to Oct 2017: Personal project - Financial Application
Key activities Performed:
• Data analysis , Finding patterns
• Implemented 4 Machine learning algorithms(Lasso regression, Ridge Regression, Logistic regression)
• Ensemble learning
• Client & Stakeholder Management
• Defining/Qualifying Data science projects
• Defining & Implementing Data science projects Architectural Flow
• Predictive maintenance (Named few), Used Various techniques/Algorithms Including Deep Learning(ANN,CNN), SAX -VSM, XgBoost and others(R & Python)
a) Servo Motors failure classification & Prediction
b) Electrical cabinet Feature generation & Risk Indicators
c) Sensor validations
d) Vibration Analysis
• Reinforced Learning - eBeam Failure Prediction. (Python)
• Computer Vision/ Robot Vision inside Chamber (using CNN , TensorFlow, Python)
• Predicting Remaining Useful Life(RUL) of components(R)
• Forecasting of safety Indicators/features -LSTM(TensorFlow, Python) and Arima(R)
• Feature generation from raw signals using various techniques(Discrete Fourier Transform, Z transforms and other techniques).(R & Python)
• Price & Quantity (Marketing Analytics) Analysis & Prediction using various Algorithms.
• Creating custom R packages
• Data mart creations(Azure) using pySpark, USQL and other techniques
• Creating Dashboards using python Dash
• Evaluating Deployment pipeline tools like DataIku, Alteryx Promote and etc
• Project Reviews on quarterly basis.
• Standardizing validations -Test Strategy- Test bench to evaluate the performance of algorithms
July 2017 to Oct 2017: Personal project - Financial Application
Key activities Performed:
• Data analysis , Finding patterns
• Implemented 4 Machine learning algorithms(Lasso regression, Ridge Regression, Logistic regression)
• Ensemble learning
Stakeholder Management, Patterns, Science, Feature, Safety, Alteryx, Algorithms, Tensorflow, Computer vision, Analytics, Test, Management, Marketing, Deployment, R, C, Deep learning, Forecasting, Azure, Data Science, Machine learning, Data Analysis, Python
2016 - 2017
job
Big Data Scientist
BBC.
Key Activities Performed:
• Managing Stake Holders
• Negotiating Business requirements
• Leading a team for data science projects
• Marketing Campaign Analysis
• Developing Several Machine learning/Analytical functions in R
• Developed Workflows in Alteryx for several data Sources ETL for consumption in tableau.
• Building Tableau Dashboards
• Data pipeline failure prediction algorithm implemented in Python
• Data Anylysis Using HIVE
• Automation of several tasks which were previously run manually
• Data modeling/ETL using Spark on AWS
• Data modeling LAMBDA on AWS (python)
• Data analysis using R and Python
• Creating Tables using HIVE and SQL
• Evaluating DataScience Tools Like Alteryx, Talend, Lavastorm
• Managing Stake Holders
• Negotiating Business requirements
• Leading a team for data science projects
• Marketing Campaign Analysis
• Developing Several Machine learning/Analytical functions in R
• Developed Workflows in Alteryx for several data Sources ETL for consumption in tableau.
• Building Tableau Dashboards
• Data pipeline failure prediction algorithm implemented in Python
• Data Anylysis Using HIVE
• Automation of several tasks which were previously run manually
• Data modeling/ETL using Spark on AWS
• Data modeling LAMBDA on AWS (python)
• Data analysis using R and Python
• Creating Tables using HIVE and SQL
• Evaluating DataScience Tools Like Alteryx, Talend, Lavastorm
R, Lambda, Science, Campaign, Alteryx, Hive, Spark, Data Modeling, Tableau, ETL, Marketing, Automation, Big Data, AWS, Data Science, Machine learning, Data Analysis, Python, Sql
2016 - 2017
job
Data scientist
YourFeed.
Key Activities Performed:
• Scrapping Data from Linked-in and other sources
• Scrapping data from Twitter
• Developing Recommendation/Scoring Engine using Python
• Multi processing & parallel processing in Python
• Exploring NLP(NLTK libraries) , Tokenization, Removing Stop words,
• Developed common word Filtering method using NLTK,
• Interacting with cross functional teams for Architecting the system in Cloud.
• Multi processing & Parallel vectorization
• Scaling in Heroku cloud services
• Scrapping Data from Linked-in and other sources
• Scrapping data from Twitter
• Developing Recommendation/Scoring Engine using Python
• Multi processing & parallel processing in Python
• Exploring NLP(NLTK libraries) , Tokenization, Removing Stop words,
• Developed common word Filtering method using NLTK,
• Interacting with cross functional teams for Architecting the system in Cloud.
• Multi processing & Parallel vectorization
• Scaling in Heroku cloud services
Python, Cloud, Word, Cloud services, Twitter, NLP, Heroku, Processing
2016 - 2016
job
Data scientist
unknown.
Key activities Performed:
• Meeting several internal businesses and Evangelizing data science team
• Mentoring/Leading Data Engineer and Data Analysts.
• Developed solution for Energy prediction using R(Neural Networks, Logistic regression)
• Texts /Forums data Analysis using Python
• Developed & Deployed 3 Dashboards using R - Shiny server
• Customer call journey analysis & Study of IVR/chatter bot using Artificial intelligence & NLP
• Big Data ETL using R and Python Into Amazon Redshift Database
• Mobile App Data Analysis (Finding patterns, Clustering, Behavior modeling) using R
• Energy Data analysis - Energy consumption modeling with other socio economic parameters(Panel Data regressions)
• Smart Meter Data Analysis using Hive & Python.
• Architecting Big Data Architecture in AWS.
• Working closely with other teams building for BigData Architecture
• Meeting several internal businesses and Evangelizing data science team
• Mentoring/Leading Data Engineer and Data Analysts.
• Developed solution for Energy prediction using R(Neural Networks, Logistic regression)
• Texts /Forums data Analysis using Python
• Developed & Deployed 3 Dashboards using R - Shiny server
• Customer call journey analysis & Study of IVR/chatter bot using Artificial intelligence & NLP
• Big Data ETL using R and Python Into Amazon Redshift Database
• Mobile App Data Analysis (Finding patterns, Clustering, Behavior modeling) using R
• Energy Data analysis - Energy consumption modeling with other socio economic parameters(Panel Data regressions)
• Smart Meter Data Analysis using Hive & Python.
• Architecting Big Data Architecture in AWS.
• Working closely with other teams building for BigData Architecture
NLP, Energy, Energy, Patterns, Redshift, Science, App, Server, Amazon, Neural networks, Hive, Python, Architecture, ETL, Mentoring, R, Database, Artificial Intelligence, Big Data, AWS, Data Science, Data Analysis
2015 - 2016
job
Lead Data scientist
ASML.
Key activities Performed:
• Managing 8 projects
• Data gathering & cleaning using R
• Predictive maintenance using R
• Creating library of Functions in R for use in SAP HANA & Spotfire
• Log Book Text Analysis - Natural Language Processing using Python
• Automating previously built machine learning models.
• Developing reports using Spotfire
• Managing 8 projects
• Data gathering & cleaning using R
• Predictive maintenance using R
• Creating library of Functions in R for use in SAP HANA & Spotfire
• Log Book Text Analysis - Natural Language Processing using Python
• Automating previously built machine learning models.
• Developing reports using Spotfire
Python, Machine learning, SAP, R, Natural, SAP HANA, Processing, Spotfire
2015 - 2015
job
Data Scientist
BKYB.
Key Activities performed:
• Analysis of CDN(Content Delivery Networks) performance using data feeds.
• Developed Python Code for accessing the CDN Data API(REST API)
• Text Mining of Log Data from CDN 's using Python
• Involved in developing a proof of concept for Network Traffic Prediction machine learning algorithm.
• Analyzed Data from Recommender systems against predefined KPI's.
• Developed exploratory graphs/Reports using R & Tableau
• Analysis of gateway performance - IBM Netezza and Postgres server.
• Porting of R code to Python
• Analysis of CDN(Content Delivery Networks) performance using data feeds.
• Developed Python Code for accessing the CDN Data API(REST API)
• Text Mining of Log Data from CDN 's using Python
• Involved in developing a proof of concept for Network Traffic Prediction machine learning algorithm.
• Analyzed Data from Recommender systems against predefined KPI's.
• Developed exploratory graphs/Reports using R & Tableau
• Analysis of gateway performance - IBM Netezza and Postgres server.
• Porting of R code to Python
Python, API, Machine learning, REST API, REST, R, Tableau, Content, Network, Postgres, KPI, Server, Cdn
2014 - 2015
job
Data Scientist
Powa Technologies.
Key Activities performed:
• Leading a Data team
• Product Campaign Analysis
• Social Network analysis using Gephi
• Customer feedback Analysis - Keyword based text Analysis.
• Developed Several Dashboards and Reports using Tableau.
• Analysis of Unstructured web data using Python
• Developed Data Model(Data quality) solution for entire Database using R and Python.
• Cassandra(NoSQL) database access & analysis using R
• Data Profiling using R
• Segmentation/Clustering of users based on combination of traits.
• Correlation/ Regression analysis on various data sets
• Leading a Data team
• Product Campaign Analysis
• Social Network analysis using Gephi
• Customer feedback Analysis - Keyword based text Analysis.
• Developed Several Dashboards and Reports using Tableau.
• Analysis of Unstructured web data using Python
• Developed Data Model(Data quality) solution for entire Database using R and Python.
• Cassandra(NoSQL) database access & analysis using R
• Data Profiling using R
• Segmentation/Clustering of users based on combination of traits.
• Correlation/ Regression analysis on various data sets
Python, Database, R, Tableau, NoSQL, Network, Data quality, Cassandra, Web, Campaign, Social
2013 - 2014
job
Data Scientist
Shopitize Ltd.
Key Activities performed:
• Analyze large datasets to provide strategic direction to the company
• Time series analysis of shoppers trends
• Pattern detection of shoppers, How shopper behave in pattern(for example shoppers shop in a trend like they shop first Veg before buying beer or etc)
• Develop statistical models to forecast offer redemptions
• Modeling customer behavior to identify the trends
• Identifying and solving any data set issues and anomalies (e.g. detecting outliers)
• Developed & Published 50+ Tableau reports/workbooks
• SQL Development
• Develop business reports with visualizations which are used in aid of decision
• Automating reporting and build in process efficiencies to minimize manual reporting
• Develop python program for generating Tableau extracts outside Tableau
• Assist in developing internal tools for data analysis
• Analyze large datasets to provide strategic direction to the company
• Time series analysis of shoppers trends
• Pattern detection of shoppers, How shopper behave in pattern(for example shoppers shop in a trend like they shop first Veg before buying beer or etc)
• Develop statistical models to forecast offer redemptions
• Modeling customer behavior to identify the trends
• Identifying and solving any data set issues and anomalies (e.g. detecting outliers)
• Developed & Published 50+ Tableau reports/workbooks
• SQL Development
• Develop business reports with visualizations which are used in aid of decision
• Automating reporting and build in process efficiencies to minimize manual reporting
• Develop python program for generating Tableau extracts outside Tableau
• Assist in developing internal tools for data analysis
Sql, Python, Data Analysis, Tableau, Development, Forecast, Direction
2013 - 2013
freelance
Freelance Developer (US Client)
Store in Google Cloud Storage.
Project: Aim of the project is to gather data on daily basis from 150 to 200 different websites, Store in Google Cloud Storage, Study & Perform Analysis on Data to extract information like trends and other.
Activities Performed:
• Written a program in PYTHON , (This program reads JSON file for list of urls, connects to the site, pulls the data, cleans the data, stores in Google cloud Storage.
• Uploaded the program Google App Engine
• Written Cron File to run the program at a specific time every 24 hours
• Configured Google Cloud Storage for Authentication & Storage.
Activities Performed:
• Written a program in PYTHON , (This program reads JSON file for list of urls, connects to the site, pulls the data, cleans the data, stores in Google cloud Storage.
• Uploaded the program Google App Engine
• Written Cron File to run the program at a specific time every 24 hours
• Configured Google Cloud Storage for Authentication & Storage.
Python, Websites, JSON, Cloud, Google cloud, Developer, Storage, App, Google
2013 - 2013
freelance
Consultant.(Data Scientist)
Vodafone.
Key Activities Performed:
• Data Preparation(Extracting Data from Structured and Unstructured sources)
• Data Management (Cleaning, Consolidating & Updates)
• Developed CUBE using SSAS
• Analysis/Data Mining using R
• Closely working with team consisting Project Managers, Product Managers, Business Analysts, providing Analytical reports, Insights and recommendations.
• Developed Reports using Tableau
• Deployment & maintainence of Tableau reports.
• Data Preparation(Extracting Data from Structured and Unstructured sources)
• Data Management (Cleaning, Consolidating & Updates)
• Developed CUBE using SSAS
• Analysis/Data Mining using R
• Closely working with team consisting Project Managers, Product Managers, Business Analysts, providing Analytical reports, Insights and recommendations.
• Developed Reports using Tableau
• Deployment & maintainence of Tableau reports.
Data mining, Data management, R, Deployment, Tableau, Management, SSAS
2012 - 2012
freelance
Consultant
Ikon Solutions.
Key Activities Performed:
• Designed & Developed OLAP database using Kimball Methodology
• ETL(SSIS) of Data from OLTP Database
• Design & development of Cubes , Custom measures, Aggregates using SSAS
• Development of Reports using SSRS
• Developed MDX queries
• Designed & Developed OLAP database using Kimball Methodology
• ETL(SSIS) of Data from OLTP Database
• Design & development of Cubes , Custom measures, Aggregates using SSAS
• Development of Reports using SSRS
• Developed MDX queries
Design, Database, ETL, Ssis, SSRS, SSAS, Development, Kimball, OLAP, MDX
2007 - 2012
job
BI developer /FA Engineer
AD-HOLDINGS PLC.
Developer, BEE
2006 - 2007
job
Engineer/SQL/BI Developer
Bonatech/Tongbaek Trading.
Sql, Developer, BEE
My education
1996
-
2000
n/a
Bachelors, Regional Engineering Collage
Bachelors, Regional Engineering Collage
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