Akashdeep Singh
Data Scientist
Ashwood,Melbourne
Summary
I am an experienced data scientist with 9 years of experience in data analytics domain with over 5 years in senior data science roles and mentoring. Incorporating the experience and knowledge that I possess in data science, data analysis, data engineering, architecture, programming and storytelling. I have the ability to be able to translate complex large data sets into actionable stories. In my spare time, I work on various projects improving my Machine learning and Artificial Intelligence knowledge.
Overview
6
6
years of post-secondary education
9
9
years of professional experience
Work History
Senior Data Scientist
Clemenger Group
09.2019 - 02.2021
- Provided comprehensive analysis and recommend solutions to address complex business problems and issues using data from internal and external sources and applied advanced analytical methods to assess factors impacting growth and profitability across product and service offerings for Samsung and other clients.
- Developed data science roadmaps based on impact, effort and test coordinations, working with stakeholders to achieve short-term and long-term goals.
- Collaborated with internal stakeholders, identifying and gathering analytical requirements for customer, product and projects needs.
- Built tools to automate processes such as fetched customer information and loaded it to FB and Google in minutes reducing time taken to do it from 2 days to 1 minute saving data analyst resource.
- Developed data-gathering and reporting structures for all of Samsung marketing channels example: Facebook/Google into central data warehouse from ground up and strategized methods capitalizing on system features, which helped in compiling all information into one Tableau dashboard saving $500,000 to samsung in tools utilisation.
- Created un-supervised learning model to group customers to identify characteristics of disengaged customers on various marketing channel and performed A/B testing to improve customer engagement from 1.5 million disengaged customer to 1.3 million.
- Deployed a technology to identify customers that have already purchased the most recent phone for them to NOT to be re-targeted on social media channels saving Samsung $1.5 million dollars in advertising cost
- Introduced agile methodology and JIRA board to team and successfully helped the operations manager to lead an Agile project using Atlassian suite.
- Data engineered and solution architecture Data Science use case for Samsung using Machine learning: propensity model on BigQuery ML and implemented end to end machine learning pipeline.
- Employee of the week in in March 2020 and Feb 2021 out of 250 employees.
- Created Snapchat API Python module, which is non-existent, which will be put into public GITHUB repository for world to use.
- Leveraged analytics to drive business development, productivity and process improvement and marketing strategies, including customer lifetime modeling, acquisition, retention, win backs and monetization.
Senior Data Science Consultant
Capgemini
03.2019 - 09.2019
- Led projects and analyzed data to identify opportunities for improvement.
- Created Proof of concept and implemented the whole solution for Department of human services with an aim to create automatic document classification for different types of visual documents/photos/scans.
- Prepared a variety of different written communications, reports and documents to ensure smooth operations.
- Created an API/Micro-service which connected the website to document classifier, which did the classification and named entity recognition to find information like name of the person, location and other important information.
- Created OCR technology for Capgemini to use for clients which using Recurring neural networks which trained on over 2 million pictures with accuracy better than most OCR cloud providers.
- Used supervised machine learning algorithms: MultinomialNB, RandomForest and Logistic regression to do text classification.
- Architected and data engineered whole solution using Google GCP.
- Created automated 100 points Identification Check and will be on selling it to other clients Achievements.
- This project lead to 24 months’ engagement with the client ~ $2.5Million project and recognised one of the most vital projects at Capgemini.
- Awarded as imaginative project of the year APAC https://isg-one.com/events-landing/2020-isg-paragon-awards-apac.
- Achieved the highest rating of 5 for 2nd time in both 6 months at Capgemini and was offered a manager consultant role before leaving.
Data Scientist
Capgemini - RMIT
01.2019 - 04.2019
- Scientist in Education sector creating solution for Chatbot which used NLP to improve student experience and reduce load on human intervention.
- DevOps development, consultancy and documentation.
- Planning and implementation of cross-validation strategy to improve performance of chat-bot based on live information.
- This project had an ROI of less than 2.5 years Achievements.
- Provided comprehensive analysis on the chatbot performance and recommend solutions to address complex chatbot problems which lead Amazon and Client recognising my techniques used to improve the Lex chatbot performance and I had the highest rating of 5, also recognised by CEO.
- The chatbot performed with precision of 80% and recall of 75%, giving it a much higher accuracy
Digital Video Platform Manager
Telstra
05.2018 - 06.2018
- Worked as a video platform manager for whole of Telstra media team managing AFL, NRL and Netball app (biggest sport app portfolios video platforms) with over 2 million viewers a week.
- Managed a team of 4 people and worked with various different team leaders.
- Developed team communications and information for meetings.
- Weekly meetings with 2 group directors and 3 general managers and continuous interaction with general managers to ensure everything is running smoothly on platform.
- Interacted with team across the board in Media to ensure all the issues were fixed which were noticed in the weekend across various devices or platforms.
- Led projects and analyzed data to identify opportunities for improvement.
- Worked with data scientists, data analysts and engineers to recognise customer problems pro-actively and have fix in place straight away before the end of week games.
- Worked flexible hours; night, weekend, and holiday shifts.
- Led engineering team in delivery of making sure all video platform works well , resulting in smooth interactions with NRL,AFL And Netball apps.
Data Scientist
Telstra
07.2016 - 01.2019
- Telstra Media is famous for Sports offerings (NRL, AFL and Netball), Telstra TV, Foxtel and IPTV applications.
- Mentored junior data analyst and senior data scientist to use various tools and introduced Python to the team for automated reporting.
- Created AFL&NRL Prediction Model using Advanced Regression techniques that predicted with 80% accuracy giving business and capacity planners a more accurate understanding.
- Anomaly detection using Time series forecast – ARIMA model and was able to free up to 30% of 2 senior engineers and reduced time to solve complex problem from multiple days to few hours.
- Used sentiment analysis from Facebook, Twitter and App reviews and converted them into Customer Feedback for NRL, AFL and Netball.
- This exercise improved for 1,000 customers within a week.
- Tableau vs PowerBI analysis on which tools is more powerful and did training for both the tools and recognised Pros vs Cons for use in Telstra Media team.
- Leaded data science projects reducing number of customer complaints by 46% in Telstra Media within a space of one year of implementation.
- Created Data Retention Policy & Data Strategy for Media Products.
- Achievements.
- COO (Chief Executive Officer) award for leading Telstra TV-1 and Telstra TV-2 Analytics program with over 1 million devices in market and for recommending data retention policy and strategy to reduce hardware infrastructure cost by $1.3 Million.
Technology Specialist
Telstra
11.2011 - 07.2016
- Media Analytics Data SME for Content Delivery Network and Video Platforms.
- Weekly and Monthly reporting for CDN and Video from Big Data Platforms.
- Performance analysis for various teams within Media across various products.
- Reporting, Business Intelligence and Data Visualization using PowerBI, Tableau and Splunk.
- Automation of ongoing reporting to reduce recurring tasks using Python scripts reducing time to do report from 3 days to 1 hour each week.
- Data engineering activities: Integrating data sources into Splunk and Hadoop for various sources: TTV-1, 2, AFL, NRL and Netball.
- Lead various different Initiatives –High Efficiency Video Coding, Hadoop and Video over LTE.
- Splunk Frontend Development - Search queries, Scripting and creation of dashboard Achievements.
- Created dashboards for Telstra TV 1 which led to registration of 100,000 to more people registering due to findings from the data
- Directors award for two different projects., Consulted with the client to understand requirement the whole data architecture and data model to be able to guide them through.
- Created recommendations for the customer on how to optimize their analytics platforms.
- Provided guidance on project steps to build ML next best product model.
- Created strategy document to improve customer journey and drive value of data.
Education
AWS Solution Architect Associate – AWS - undefined
AWS Software Developer Associate Training - AWS - undefined
Agile Project Management - Safe Certified - undefined
Splunk Certifications - Four modules - undefined
01.2016 - 01.2018
Microsoft Certification Data Science - Edx online - undefined
Cloud Computing - VMware technologies -VM Certification - undefined
Bachelor of Engineering - Computer and Electronics
Massey University
01.2007 - 01.2011
Skills
AWS
GCP
Azure
MySQL, MSSQL, and Mongodb, PostgreSQLHTML/JavaScript/ CSS/JavaScript
Data visualisation: Tableau & PowerBIPython and Shell scripting
C, Objective C
Python modules – Pandas, Numpy, Pyspark, Tensorflow
CI/CD: Bitbucket, Serverless framework, Jenkins, Cloud formation, Deployment ManagerContainerisation: Dockers and KubernetesAdvertisingAgileAPI/Microservices
AutomationBusiness IntelligenceCMachine learning
Statistical analysis
Intelligence gathering
A/B testing
Referees
Dheeren Velu
Director AIE
Capgemini
Phone: (+61)0437650047
Roberto Reynolds
General Manager
Telstra,
Phone: (+61) 0427972664
Puneet Bahuguna
Head of Data Science
Clemenger Group,
Phone: (+61) 0490948404
Timeline
Senior Data Scientist
Clemenger Group
09.2019 - 02.2021
Senior Data Science Consultant
Capgemini
03.2019 - 09.2019
Data Scientist
Capgemini - RMIT
01.2019 - 04.2019
Digital Video Platform Manager
Telstra
05.2018 - 06.2018
Data Scientist
Telstra
07.2016 - 01.2019
Splunk Certifications - Four modules - undefined
01.2016 - 01.2018
Technology Specialist
Telstra
11.2011 - 07.2016
Bachelor of Engineering - Computer and Electronics
Massey University
01.2007 - 01.2011