Available to hire
I’m Akshay Sachdeva, a Senior Data Scientist with 10+ years of experience delivering end-to-end ML solutions across financial and pharmaceutical sectors. I architect scalable ML pipelines in Python, R, and SQL, and deploy models on AWS and GCP, while leading cross-functional teams. I’m actively exploring real-time, scenario-based learning through my personal project whytboxed.com. I specialize in data strategy, causal inference, and MLOps, and turn data into business value with BI tools like Tableau and Power BI. I enjoy collaborating with stakeholders to align on outcomes and drive impact.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Language
English
Fluent
Work Experience
Senior Data Scientist at Indebted
January 1, 2022 - PresentLed development of AI-powered templates and automated agent workflows (LangChain, AWS Bedrock/OpenAI) achieving a 35% uplift in conversions. Built an inbound email automation tool ('AI Resolver') using Retrieval-Augmented Generation with a vector store for context-aware replies, significantly improving support automation. Designed automated n8n workflows with Athena connectors and embedded compliance/verification agents. Directed multi-strategy message scheduling on AWS (S3, SageMaker, Lambda) increasing CTR by 28% vs random. Developed a causal-inference channel selection model to optimize customer communication and improve engagement. Created a production-grade feature store (SageMaker Feature Store, Chalk.ai) to standardize features. Led CollectML framework to automate ML pipelines in under 10 minutes using YAML, Athena, Snowflake, SageMaker Processing, and Lambda. Deployed models via Dockerized AWS Lambda endpoints with end-to-end monitoring using Kinesis Firehose to S3 and Snowflak
Data Science Facilitator at FourthRev
July 1, 2022 - January 31, 2023Led a 12-week intensive data science course for London School of Economics, covering introductory to advanced topics: Data Science, Probability & Statistics, Predictive Analytics with Python, Exploratory Data Analysis with R, Machine Learning with R, and demonstrating business value.
Data Scientist at WooliesX
July 1, 2021 - January 31, 2022Built predictive ML models to forecast customer-level future spend and integrated them into production via CI/CD pipelines. Developed SQL-based stored procedures in Google BigQuery to construct scalable datasets for downstream modeling and analytics. Collaborated with marketing to identify optimal audiences using behavioral, transactional, and demographic signals, boosting campaign precision. Analyzed weather impact on category-level sales to inform stocking and promotions.
Data Science Instructor at Monash Data Analytics Bootcamp
July 1, 2021 - January 31, 2022Instructed students in Python and R, covering core libraries (NumPy, Pandas, Matplotlib, Flask, SQLAlchemy) and database concepts (PostgreSQL, MongoDB). Led workshops on data visualization (D3.js, Tableau) and mentored projects, interview preparation, and critical thinking. Introduced machine learning fundamentals and deployment basics.
Data Scientist at Whyhive
April 1, 2021 - July 1, 2022Provided comprehensive analyses using Python/R to address complex business problems. Collaborated with stakeholders to optimize CRM database for client segmentation using unsupervised ML, and produced BI-ready outputs to support strategic decision making for Victoria Government.
Data Science Intern at Civita-Laurea
July 1, 2020 - October 1, 2020Developed MVP to support professors redesign courses. Implemented variability analysis in online lecture videos with k-means and deep neural networks; applied supervised learning and transfer learning to classify video features.
Data Scientist at RMIT University
January 1, 2020 - December 31, 2020Analyzed university data to support capacity planning. Used design thinking to design analytics solutions and built BI solutions with R/Python/Power BI to aid real estate/investment decisions; collaborated with stakeholders to gather requirements.
Process Manager at American Express
December 1, 2018 - July 1, 2019Provided analytical reporting for US Middle Market; built complex dashboards and reports using Hive, Python, Excel, and Tableau. Supported account development teams and leadership with performance insights and workflow optimization.
Senior Data Analyst at Ameriprise Financials
June 1, 2016 - November 1, 2018Machine learning COE: built a sales propensity model using decision trees, random forest, logistic regression, and XGBoost. Managed the full data lifecycle (data collection, cleansing, feature engineering, model training/deployment) for an investable asset proxy model. Conducted measurement and impact analyses of advisor programs and marketing products; developed a client segmentation model with K-means and created Tableau-driven analyses to support Marketing strategies.
Data Analyst at Tata Consultancy Services
September 1, 2014 - May 1, 2016Utilized SAS/ADVANCE, SAS/MACRO, SAS/ODS, and SAS/SQL to analyze and transform large clinical trials datasets. Developed, debugged, and validated SAS programs to generate derived datasets, summary tables, and data listings according to standards.
Education
Masters of Data Science at RMIT University
January 11, 2030 - December 4, 2025Bachelor of Technology: Information Technology at IP University
January 11, 2030 - December 4, 2025Qualifications
SAS Certified Base Programmer for SAS 9
October 1, 2015 - December 4, 2025SAS Certified Advanced Programmer for SAS 9
May 1, 2016 - December 4, 2025AWS Cloud Student Ambassador
January 1, 2020 - December 4, 2025Industry Experience
Financial Services, Life Sciences, Software & Internet, Professional Services, Education
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