Sai Sadhasivam
Building data products that ship decisions, not just dashboards.
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About Me
As a passionate, results-driven Product Builder/Data Scientist with over 3+ years of experience, I translate complex data into actionable product roadmaps and marketing campaigns. My expertise spans automated data pipelines and A/B testing, leading to an average 15% improvement in user retention and conversion rates.
I leverage advanced statistical techniques (causal inference) and machine learning models to uncover user behavior, forecast revenue with 95% accuracy, and personalize user journeys. My contributions have increased user engagement by 20%, boosted ARPU by 10%, and accelerated feature adoption by 25%.
I am currently advancing my skills through a Master's in Data Science (Deakin University) focusing on predictive analytics, and a Postgraduate Program in AI/ML (UT Austin) covering deep learning, NLP, and scalable cloud solutions (AWS, Google Cloud).
My approach to data science fosters informed decisions, guided by three core principles:
Clarity in communication
Distilling complex data into clear, actionable insights.
Measurability in objectives
Defining and tracking quantifiable success metrics.
Focus on moving metrics that matter
Prioritizing initiatives that impact KPIs and growth.
What sets me apart is my ability to translate technical concepts and sophisticated models into compelling, actionable business insights. I empower product, marketing, and leadership teams with data-driven intelligence for strategic development and sustainable growth.
Skills Snapshot
Programming
Python, SQL
Advanced proficiency in developing data pipelines, ETL processes, and automated reporting systems. Experienced in creating maintainable, documented code with extensive testing and version control.
Data & ML
Pandas, NumPy, Scikit-learn, TensorFlow, NLTK, OpenCV, Regex, Matplotlib, Seaborn
Expertise in data manipulation, feature engineering, model development, and visualization. Skilled in applying both statistical and machine learning approaches to derive meaningful insights from complex datasets.
BI & Ops
Tableau, Power BI, Excel, KPI automation, A/B testing, Cohorts/Funnels/Retention
Proficient in designing dashboards that drive decision-making, implementing A/B testing frameworks, and analyzing user behavior through cohort analysis and retention metrics.
Product Tooling
JIRA, Confluence, GitHub, Miro/FigJam/Figma, Lucidchart, Label Studio, CVAT; AWS, GCP (Analytics)
Experienced in collaborative workflows, product documentation, and cloud-based analytics services. Adept at working within agile frameworks and cross-functional teams.
Databases
MySQL, PostgreSQL, BigQuery
Strong understanding of database design principles, query optimization, and data warehousing concepts. Capable of handling large-scale datasets and complex queries efficiently.
Quality Assurance Engineer → Data/Analytics Impact
Azentio Software
+39%
Reporting Accuracy
Built SQL→BI pipelines & executive dashboards, clarifying KPIs for faster roadmap decisions.
-25%
Sprint Turnaround
Partnered with Product, Design, and Engineering to define metrics & acceptance criteria across 4 major releases.
-33%
Recurring Defects
Designed A/B & multivariate tests; recommendations significantly reduced recurring defects and increased feature adoption.
At Azentio Software, I transitioned QA into a data-driven strategic function. By building analytics pipelines and leading post-release analysis (cohorts, funnels, retention), I provided critical product performance visibility. This data-driven approach led to a 28% reduction in support tickets, a 40% decrease in production issues, and improved system usability scores by 20% through a co-authored event taxonomy.
Business Analyst Intern
Tier2 Digital
Challenge
Fragmented customer feedback data scattered across multiple channels with no standardized analysis process, making it impossible to prioritize product features effectively.
Solution
Developed systematic approach to consolidate feedback into trusted dataset. Proposed core product KPIs that informed backlog priorities and established rapid analysis framework for stakeholder questions.
Impact
Framework continued guiding product decisions after internship. Enabled faster decision-making velocity and created data-informed product culture replacing opinion-driven approach.
Selected Projects
These projects demonstrate my ability to apply data science principles to real-world problems across different domains. All repositories are public with comprehensive documentation.
Amazon Fresh Analytics
End-to-end SQL project analyzing Amazon Fresh data with database design (3NF), normalization, and complex queries. Provides comprehensive insights into sales patterns, customer behavior, supplier performance, and product metrics.
Corpus Growth Simulator
Interactive Streamlit app that simulates OSA corpus growth under different fee structures, adoption scenarios, and alumni participation rates. Enables stakeholders to visualize short vs. long-term financial outcomes for strategic decision-making.
More Projects
1
Personal Loan Prediction Model
Machine learning model predicting personal loan acceptance using demographic, financial, and banking data from 5,000 customers. The project addresses a common challenge in financial services: efficiently targeting marketing efforts by identifying customers most likely to accept loan offers.
Key technical achievements include:
  • Successfully addressed class imbalance in the dataset using SMOTE and other resampling techniques
  • Built and compared multiple classifiers including Random Forest, Logistic Regression, and Gradient Boosting
  • Optimized for recall to maximize potential customer identification while maintaining acceptable precision
  • Implemented feature importance analysis to identify key factors in loan acceptance decisions
2
FoodHub Data Analysis
Comprehensive exploratory analysis of 1,898 NYC food delivery orders to uncover insights related to revenue patterns, cuisine preferences, operational delays, and customer satisfaction ratings. This project demonstrates my ability to extract actionable business intelligence from raw transactional data.
The analysis revealed several key findings:
  • Peak ordering times and their correlation with delivery performance metrics
  • Cuisine popularity trends and their impact on average order values
  • Identification of service bottlenecks affecting customer satisfaction
  • Customer rating patterns and their relationship with order characteristics
Data Science Salary Dashboard (2020–2025)
This interactive Tableau dashboard analyzes global data science salaries by role, experience, country, and remote work, providing actionable insights for job seekers and industry analysts. It transforms raw compensation data into clear trends.
Key Insights:
  • Executive Premium: C-suite/Director-level roles command significantly higher compensation.
  • Remote Work: Geography heavily influences pay scales, often more than remote status.
  • Regional Disparities: The U.S. remains the highest-paying region for data science/AI roles.
  • Specialization: ML engineering and MLOps roles offer a notable salary premium.
The dashboard features interactive filters to explore compensation trends by industry, company size, and education. Time-series analysis shows market demand evolution from 2020-2025.
The dashboard provides dynamic filtering capabilities, allowing users to explore compensation patterns across multiple dimensions simultaneously.
Education Path
1
Deakin University
M.S. Data Science (June 2025 – Expected July 2027)
Melbourne, Australia
Specializing in advanced machine learning algorithms, big data architecture, and AI ethics. Coursework includes deep learning, natural language processing, computer vision, and distributed systems.
2
The University of Texas at Austin
Postgraduate Program in AI & Machine Learning (June 2025 – Expected July 2026)
Texas, United States
Concentrating on practical implementation of AI/ML models for business applications. Program emphasizes hands-on projects using real-world datasets and industry-standard tools.
3
Anna University
M.B.A., Business Administration (June 2020 – June 2022)
Focused on operations research, strategic management, and business analytics. Thesis explored data-driven decision making in supply chain optimization.
4
SRM Institute of Science & Technology
B.Sc., Visual Communications (June 2016 – Sep 2019)
Chennai, India
Developed strong foundations in visual storytelling, information design, and communication theory. Senior project involved creating data visualizations for complex social statistics.
My educational journey reflects a deliberate progression from visual communications to business analytics and now specialized data science. This interdisciplinary background gives me unique perspective on how to make data meaningful and actionable across different organizational contexts.
Certifications
These certifications represent my commitment to continuous learning and staying current with industry-standard tools and methodologies. Each credential has been selected to complement my practical experience and formal education.
Certified Scrum Product Owner (CSPO)
Scrum Alliance - (Credential ID: bcert.me/sbxeqyrou)
This certification validates my ability to effectively manage product backlogs, prioritize features based on business value, and collaborate with development teams using agile methodologies. The CSPO credential has been particularly valuable in bridging the gap between data science insights and product implementation.
Certified Advanced Programmer with Data Science
GUVI, IITM Research Park
This comprehensive program covered advanced programming concepts specifically applied to data science workflows. Curriculum included algorithm optimization, efficient data structures for analytics, and scalable architecture patterns for data-intensive applications.
AWS Generative AI Applications Professional Certificate
AWS/Coursera
This certification demonstrates proficiency in designing, deploying, and managing generative AI applications on AWS infrastructure. Topics included large language models, prompt engineering, AI service integration, and responsible AI implementation practices.
Google Cloud Platform Data Analytics
Google Cloud
This certification validates expertise in implementing and managing data analytics solutions on Google Cloud Platform. Coursework covered BigQuery, Dataflow, Dataproc, and machine learning services on GCP.
What I Work With
Data Analysis & Presentation
Excel, PowerPoint, Google Sheets, Tableau, Power BI
Advanced proficiency in data manipulation, visualization, and presentation tools. Experienced in creating executive dashboards that drive decision-making and communicate complex insights effectively.
Collaboration & Project Management
Confluence, JIRA, GitHub, Lucidchart, Miro, FigJam, Figma, Slack
Skilled in using collaborative platforms to document processes, manage projects, and facilitate cross-functional teamwork. Experienced in both synchronous and asynchronous communication workflows.
Cloud & Technical Infrastructure
AWS, Google Cloud Platform, Label Studio, CVAT
Proficient in cloud-based analytics services, data labeling tools, and infrastructure management. Experienced in setting up scalable data pipelines and machine learning workflows in cloud environments.
My toolset reflects a balanced approach to technical excellence and effective collaboration. I believe in selecting the right tool for each specific task rather than forcing standardization at the expense of productivity. This flexibility allows me to adapt quickly to different team environments and project requirements.
Let's Build Something Useful
I'm passionate about creating data products that drive meaningful business outcomes. My goal is to transform raw information into actionable insights and robust solutions that directly impact your bottom line. I'd love to discuss how my skills and experience can help your team succeed and thrive in a data-driven world, ensuring every solution is technically sound, strategically aligned, and user-centric.
What I bring to the table:
Technical expertise across the data science lifecycle, focusing on scalable and maintainable data solutions.
Business acumen to align technical solutions with strategic objectives, translating insights into practical strategies.
Communication skills to make complex concepts accessible, driving informed decisions across all levels.
Collaborative approach for seamless integration with cross-functional teams and collective problem-solving.
Available for full-time roles, challenging contract projects, and consultative engagements. I am eager to contribute my expertise and help you achieve your data-driven ambitions. Let's connect and explore how data science can drive your next breakthrough.
Contact Details
Phone: +91 9003978524