Antony Akisetty
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About
Antony Akisetty is an accomplished Data Scientist and Machine Learning Engineer, specializing in marketing analytics, data engineering, and search optimization. With a career spanning over eight years, Antony has developed a robust skill set that integrates advanced data analytics, machine learning, and marketing automation, and has a strong track record of driving business growth through data-driven insights. His expertise is complemented by an educational background that blends business management and data analytics, as well as a hands-on experience in multiple high-impact roles.
Antony’s professional journey began as a Conversion Specialist and Search Specialist at Aus1Digital in Melbourne, Australia. His experience there allowed him to hone his skills in production management and search optimization. He later transitioned into a senior role at Amgen, where he served as a Senior Data Scientist. At Amgen, he played a pivotal role in optimizing data pipelines and automating ETL processes, using technologies like Apache Spark, Redshift, and Python to reduce manual workload and improve data processing efficiency. He also developed machine learning models and systems for real-time data analysis, achieving significant cost savings and efficiency improvements for the company.
Antony’s ability to blend technical skills with marketing expertise became even more apparent during his time at Accuride International Inc. He initially worked as a Search Analyst and Conversion Rate Optimization (CRO) Specialist, where he was responsible for improving search experience and driving marketing performance. His role involved applying advanced data analytics to improve search algorithms and refine customer targeting strategies. In later years, he assumed a dual role as Data Scientist/ML Engineer, where he utilized machine learning algorithms to predict sales trends, optimize marketing campaigns, and detect fraud. In this position, he also designed real-time data pipelines and analytic dashboards to enable data-driven operational decisions.
Antony’s leadership and technical capabilities were further showcased when he led global marketing and data analysis teams. As a Global Marketing Specialist and Marketing Data Analyst at Accuride International Europe, he employed tools such as Tableau and data integration systems to streamline marketing operations and enhance campaign performance.
Antony’s academic journey includes a Master’s in Business Administration from the Quantic School of Business and Technology, with a focus on executive business strategy. He also holds a Master's in Data Analytics from Southern New Hampshire University, where he deepened his expertise in building predictive models and applying data science techniques to solve complex business problems.
His ongoing work includes the development of tools and systems for enhanced search analytics. A notable project is his work on a sentiment analysis tool that uses data from online platforms, such as Twitter and online inquiries, to understand consumer sentiment and responses to marketing activities. Antony has also worked on tools to extend the availability of Google Search Console Data beyond the 90-day limit, facilitating long-term data analysis and visualization.
Overall, Antony is a versatile and highly skilled professional with a proven ability to bridge the gap between data science, machine learning, and marketing, making him an invaluable asset to any organization looking to leverage data for business growth and innovation.
Experienced Data Engineer and Search Analyst with a demonstrated history of working in the marketing and advertising industry. Skilled in analyzing large data sets, Search Experience Optimization, Marketing Automation, ABM, Data Analytics & BI, Strong Keyword Research, HTML, Magento, and Link Building. Strong marketing professional with a Bachelor’s Degree focused on Electrical and Electronics Engineering from Victoria University, Melbourne.
Skills & Expertise
cloud computing
machine learning
python
MLOps
PySpark
SPARK SQL
Tableau
AWS Sage maker
KAFKA
Redshift
MLOps
Data Security
Data Science
Business Analytics
Statistical Modeling
Apache Spark
Marketing Analytics
Django
Cluster Analysis
Business Strategy
Data Migration
SaaS Development
Golang
ETL Automation
Fraud Detection
gRPC
Data Quality Assurance
Process Automation
Alteryx
Snowflake Cloud
Research Interests
cloud computing
Data Security
data analytics
Project Management
Data Integration
Electrical Engineering
Email Marketing
deep learning
Business Strategy
Big Data Analytics
Business Analytics
Machine Learning Algorithms
AI Frameworks
IoT Systems
Data Pipeline Design
Real-Time Monitoring
NLP Techniques
Process Automation
Marketing Mix Modeling
Statistical Testing
Predictive Analytics
Cloud Services
ETL Automation
User Experience Design (UED)
Custom Software Development
Cloud Application Development
SaaS Development
Connect With Me
Experience
Data Analyst & Engineer
- • Applied statistical and predictive modeling expertise to identify underlying sales trends, driving actionable insights for the business. • Developed and maintained AI-based systems and applications, improving operational efficiency by automating manual processes and reducing errors by 25%. • Implemented different models like Logistic Regression, Random Forest, and Gradient-Boost Trees to predict whether a given die will pass or fail the test, enhancing quality control. • Supported client by developing Machine Learning Algorithms on Big Data using PySpark to analyze transaction fraud, Cluster Analysis, etc., fortifying security measures. Model deployment and monitoring (MLOps) • Design, deploy, and managed conversational AI and process automation agents using natural language which helped increase operational efficiency to 65% reducing customer service requests from 135 to 63. • Create and manage data storage using GCP services such as BigQuery and CloudSQL and developed a pipeline for continuous model training with Vertex AI. • Integrated NLP to SQL pipeline with pandas dataframe agent. Modelled data via dbt and connected to BigQuery to query bigtable for seamless insight generation. • Implemented multiple RAG techniques by building Q & A chains, updating knowledge base and vector embeddings. Utilized hugging face llm models and tested with defog and other open-source alternatives. • Designed and implemented a real-time monitoring system for manufacturing equipment using Golang and gRPC, resulting in a 30% reduction in downtime and improved predictive maintenance capabilities. • Developed custom Python scripts using NLTK and SpaCy for automated text cleaning and preparation, which supported several NLP and GenAI projects by standardizing input data and reducing preprocessing time by 40%. • Developed a scalable backend service for an IoT-based inventory management system in the manufacturing industry, leveraging Golang and gRPC to enhance data processing speed and accuracy, leading to a 20% increase in operational efficiency. • Applied MMM techniques to evaluate the effectiveness of various marketing channels and optimize budget allocation, providing strategic insights to improve overall marketing ROI. • Worked on implementing front end react and express js, designed and implemented web application along with 3rd party software integrations as a wen team liaison for all customer facing projects. • Designed and implemented a real-time GenAI data pipeline to process semi-structured data, integrating 150 million raw records from 30+ data sources using Kafka and PySpark, enhancing data management capabilities. • Implemented Predictive analytics and machine learning algorithms on AWS (S3/EC2) and Django platform, to forecast key metrics, aiding in core business planning. • Expertise in Statistical Hypothesis Testing: Proficient in designing and executing A/B tests, including sample size determination, power analysis, statistical tests, and confidence intervals to drive data-informed decisions. • Added model pre-deployment tests in CI/CD pipelines to ensure model, training, and data consistency. • Utilized Spark in Python to distribute data processing on large streaming datasets to improve ingestion and processing speed of that data by 87%
Global Marketing Specialist
- Marketing Data Analyst & Search Experience Lead Marketing Data Analyst & Search Experience Lead May 2018 - Dec 2019 · 1 yr 8 mos
Contractor - IT Consulting Services
Senior Data Scientist
- As a Senior Data Scientist at Amgen, I optimized data pipelines, achieving a 99.9% uptime using Spark, Redshift, and Python. I automated ETL processes across billions of rows, reducing manual workload by 33%. I also developed machine learning modules on AWS, built a cost-saving ETL for a web app with 10,000 daily users, saving $85,000 annually, and managed data quality and source systems to enable analytics within the organization. As a Senior Data Scientist at Amgen, I optimized data pipelines, achieving a 99.9% uptime using Spark, Redshift, and Python. I automated ETL processes across billions of rows, reducing manual workload by 33%. I also developed machine learning modules on AWS, built a cost-saving ETL for a web app with 10,000 daily users, saving $85,000 annually, and managed data quality and source systems to enable analytics within the organization. Skills: Apache Spark · SQL · Tableau · Apache Sqoop · Python (Programming Language) · Amazon Web Services (AWS) · Amazon Redshift
Manager, Conversion Specialist
Data Scientist
Data Science/Analyst
Education
Quantic School of Business and Technology
Southern New Hampshire University (SNHU)
Victoria University (VU)
Projects
FAQ Chatbot
FAQ Chatbot – Built on Bot Framework by Microsoft QnA Maker – Added NLP via Microsofts Language understanding Machine Lerning service to figure if a customer is asking for a warranty replacement or technical enquiry or sales enquiry. Depending on this there are multiple forms created and triggered via Typeform so that the right message is delivered to the right operations employee in the department and their supporting territories.
UTM Bot - Slack
Built a chatbot for Slack to collect campaign urls and add UTMs related to the campaign parameters for effective tracking. Code in Github.
Sentiment analysis project
Sentiment analysis project – developing API driven tool from twitter & online enquiries to understand customers’ feelings towards Accuride products and how customers respond to campaigns or product launches and why consumers don’t buy or interact with some marketing activities. (In development)
Auto log Search Console Data for more than 90 days
Built a tool for saving Google Search Console Data To BigQuery. Search Console data is only available for the last 90 days (historical data). Used BigQuery API and Google Search Console API and log information (https://github.com/jroakes/gsc-logger.git) every 24 hours the data gets downloaded and are saved in Google Sheets. These sheets are then used to visualize in Tableau and Google Data Studio.
Certificates & Licenses (2)
Docker for Data Scientists
Deep Learning Foundations: Natural Language Processing with TensorFlow
dd