Vineet Tyagi
Senior Data Analyst | Data Storyteller | Product & Campaign Insights Expert
Point Cook,VIC
Summary
Results-driven Data Analyst with 7+ years’ experience in driving product and campaign analytics across mining, marketing, and tech industries. Proven success in aligning analytics strategy with business outcomes - saved $6M in inventory optimization and built enterprise-wide workforce models. Proficient in SQL, Power BI, Python, and Snowflake. Adept at stakeholder engagement, delivering compelling insights, and owning analytics roadmaps end-to-end. Passionate about enhancing customer journeys and enabling data-driven decision-making at scale.
Overview
7
7
years of professional experience
3
3
Certifications
Work History
Senior Data Analyst
Kinesso Australia Pty Ltd
08.2022 - 03.2023
- Analyzed large amounts of SSP (Supply Side Platform) and DSP (Demand Side Platform) side data to identify trends, find patterns, signals, and hidden stories within the data.
- Using Snowflake as the data storage, and running scripts to find insights.
- Creating a tool to identify the market demographics, and suggesting the most favorable ones to the clients.
- Assessed large datasets, drew valid inferences, and prepared insights in narrative or visual forms.
- Developed and implemented data collection systems and other strategies to optimize statistical efficiency and data quality.
- Created workflow diagrams and Gantt charts to clearly demonstrate processes and timelines.
- Collaborated with marketing and product teams to deliver customer and campaign insights, aligning with key business goals.
- Presented complex data stories to non-technical stakeholders to inform campaign targeting and product innovation.
- Supported digital product squads by managing end-to-end data pipelines, and delivering actionable metrics.
Data Analyst
Downer Group
07.2021 - 06.2022
- Generating and consolidating workforce data to the Azure data lake for advanced analytics (machine learning) from multiple platforms, such as MySQL, flat files, Excel files, Oracle, and SAP.
- Building a centralized workforce model for the entire enterprise using tools such as Microsoft Azure and Python.
- Analyzing and reporting workforce data to provide insights and inputs on workforce planning, covering KPIs such as employee turnover, diversity, absenteeism, workforce cost, and leave liabilities.
- Making dashboards, customized for different departments based on their needs by interviewing them, and presenting the workforce data using tools such as Microsoft BI.
- Modeling the data using the P.A.C.E. model (Pricing, Availability, Capability, Engagement), which provides decision-making capabilities to all the departments and senior executives of Downer Group in a manner that is easy to comprehend and detailed.
- Built KPIs for workforce insights (turnover, absenteeism, diversity), supporting HR product teams in resource planning.
- Developed dashboards with actionable insights for cross-functional stakeholders, and C-level executives.
- I took complete ownership of the data model (PACE) and built alignment across business functions to standardize reporting.
Teaching Assistant
Monash University
02.2021 - 05.2021
- Working as a studio mentor for the final year unit, Industry Experience Studio project, for postgraduate and undergraduate students.
- Mentor multiple teams and help them get acquainted with Agile and Test-Driven Development.
- Help students identify and build features for their target audience.
- Work with the Python programming language to fulfill different data-related activities, like data cleaning, wrangling, and pre-processing.
- Acquiring in-depth knowledge of machine learning concepts, such as stacking and modeling.
- Supervising 15 different teams at the same time and guiding them to get the most out of the workforce involved in the project.
- Guide them through the intricacies of the processes involved in providing real-time solutions to real problems.
- Helping students in preparing reports and presentations.
Data Engineer/Scientist
Downer EDI Mining
11.2019 - 02.2021
- Leading the data migration process (ETL) for the mining department.
- Using the concept of EOQ for the inventory items, I created an algorithm that saved AUD $6 million in the first year of deployment.
- Creating documents and presentations for higher-level management (CEO, supply chain manager) to communicate the proposed plans and findings.
- Creating documents for the technical team to provide better insights into the implementation of the systems.
- Working closely with the purchasing team to understand the business processes and planning.
- Demonstrating the effect of proper planning and optimum utilization of the company's resources, I later became part of a team that was responsible for decision-making regarding inventory management.
- Setting up the data infrastructure (data lake and data pipeline) in Azure using Python and PySpark.
- Developing dashboards for the supply chain team and upper-level management, which assists them in making informed business decisions.
- Developing automated scripts for generating reports for the team.
- Defined and delivered a data infrastructure roadmap, aligning with product and supply chain optimization.
- Created decision-enabling dashboards for key stakeholders to optimize product issuance and logistics across mining operations.
Data Engineer/Scientist
Verified Pty Ltd
07.2019 - 10.2019
- Extensive data wrangling using R and Python to extract data from databases consisting of field records of clients.
- Setting up data ware house and data lake.
- Creating and publishing dashboards using tableau for clients (Westpac (Bank of Melbourne, Bank SA, Corporate Bank, St George Bank), Monash University, Target, Woolworths).
- Reporting on repairs and maintenance transactions across all client sites.
- Using machine learning to draw insights from the data.
- Creating Business report based on the findings from data analysis for clients.
Teaching Assistant
Monash University
02.2019 - 10.2019
- Working as Studio mentor for final year unit Industry Experience Studio project for Postgraduate and Undergraduate students.
- Mentor multiple teams and helped them get acquainted with Agile and Test-Driven Development.
- Help students identify and build features for their target audience.
- Work with Python programming language to fulfill different data related activities like data cleaning, wrangling and pre-processing.
- Acquiring in-depth knowledge on machine learning concepts like stacking, modelling.
- Supervising 15 different teams at the same time and guide them to get the most out of the workforce involved in the project.
- Guide them through the intricacies of the processes involved in providing a real time solutions to real problems.
- Helping students in preparing reports and presentations.
Data Engineer
ReVolt Energy Pty Ltd
02.2019 - 06.2019
- Signal classification using Fast Fourier Transformation and Mel Frequency Cepstral Coefficient (MFCC).
- Using Apache Spark on Amazon EMR to handle big signature files.
- Working on web-scrapper and gather data from the social networking sites and do analysis on sentiment regarding different products.
- Producing data analysis reports for clients based on their requirements.
- Creating a network map of the findings from web-scrapping and doing data analysis.
- Making visualizations in Tableau, D3, PowerBi and R to present my findings for business professionals.
Data Analyst
AImagnifi Technologies Pvt Ltd.
05.2017 - 06.2019
- Working on a recommendation system for a retail suit by using machine learning algorithms like Collaborative filtering and feature selection by using Facebook's Fast Text.
- Doing visualization of the retail data using Shiny, Tableau and D3.
- Making data analysis reports for the clients using Python and R.
Data Engineer
Purchasing Index Pty Ltd
11.2018 - 01.2019
- Applying machine learning algorithms to categories client expenditures into appropriate classes/departments.
- Using bench-marking technique to suggest the ways of minimizing expenditure.
- Sentiment analysis of the feedback received from the clients using KNIME.
- Making Data analysis reports for public and private sector clients.
- Doing presentation of the findings for clients and CEO of the company.
Data Analyst/Engineer
Computer Science Corporation (CSC)
04.2016 - 02.2017
- I worked as a Data Analyst in CSC.
- My work included the use of Python to perform analysis on data and generate data analysis reports for clients according to their requirements.
- Using C++ to do per-processing of data and use COBOL after that to generate the client reports.
- Writing efficient codes to extract data from big insurance database and automate processes.
- Getting insurance transactions and policy reports for clients.
- Making data analysis reports for the clients using Tableau, Python and R.
Education
MS - Data Science
Monash University
02.2017 - 12 2018
Bachelor of Technology - Computer Science and Engineering
Dr. A.P.J. Abdul Kalam Technical University
05.2011 - 5 2015
Skills
SQL – Advanced
Certification
Data Science Challenge, 2018-01-01
Accomplishments
Facebook Melbourne Hackathon, 2018-01-01, Qualified from initial coding round to participate in Hackathon 2018.
Timeline
Senior Data Analyst
Kinesso Australia Pty Ltd
08.2022 - 03.2023
Data Analyst
Downer Group
07.2021 - 06.2022
Teaching Assistant
Monash University
02.2021 - 05.2021
Data Engineer/Scientist
Downer EDI Mining
11.2019 - 02.2021
Data Engineer/Scientist
Verified Pty Ltd
07.2019 - 10.2019
Teaching Assistant
Monash University
02.2019 - 10.2019
Data Engineer
ReVolt Energy Pty Ltd
02.2019 - 06.2019
Data Engineer
Purchasing Index Pty Ltd
11.2018 - 01.2019
Data Analyst
AImagnifi Technologies Pvt Ltd.
05.2017 - 06.2019
MS - Data Science
Monash University
02.2017 - 12 2018
Data Analyst/Engineer
Computer Science Corporation (CSC)
04.2016 - 02.2017
Bachelor of Technology - Computer Science and Engineering
Dr. A.P.J. Abdul Kalam Technical University
05.2011 - 5 2015
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