Hello, I'm
Adithya M Sivakumar
Aspiring data scientist with expertise in advanced analytics and data-driven methods to solve complex challenges and guide strategic decisions.
Passionate about uncovering Good Insights from Bad Data: Every dataset has a story to tell!
Data Science
Probability & Statistics | Machine Learning | Experimentation & Causal Inference
Data Analysis & Modeling
Data Pipelines | Advanced Excel | SQL | Python | R
Data Visualization & Storytelling
Tableau | Power BI | Python Visualization Libraries (Matplotlib, Seaborn)
Product Development & Management
Product Design | Product Analytics | Agile & Waterfall Methodology | JIRA
Industry Experience
Management Consulting | Product Development | Healthcare Analytics | People Analytics
Collaboration & Leadership
Stakeholder Communication | Team Mentorship | Cross-Functional Collaboration
Experience
Former Decision Analyst at ZS Associates, creating AI-powered tools and advanced analytics solutions for Fortune 500 clients across domains and geographies, driving efficiency and business impact.
Developed an AI-powered tool for automating the design and tracking of incentive compensation (IC) plans, reducing time spent on these tasks by 30%
Led cross-functional collaboration with engineering, data science, and client-facing teams to ensure a timely tool launch and reduced delays in periodic feature updates by 40%
Drove requirement gathering, feature prioritization, and iterative feedback based on pilot client analytics, leading to a 20% increase in user adoption
Coordinated the integration of data pipelines with upstream and downstream systems, facilitating seamless data flow and enhancing the accuracy and reliability of the tool’s automated processes
Created marketing collateral, sales pitches, and live/recorded demos to drive product adoption and expand market reach, securing 8 clients across 5 countries within the first 6 months of launch
Led a multi-phase project on post-acquisition salesforce restructuring for a Fortune 100 pharmaceutical firm, creating optimal product bundles using multivariate regression in R, and designing a streamlined incentive plan with a revenue-based retention bonus that reduced overall compensation costs by 25%
Led initiative to integrate Generative AI in Incentive Compensation Design, focusing on task automation and enhancing insights quality through LLM training, unstructured data mining and pattern detection resulting in a 60% efficiency gain through reducing time and increasing output quality
Facilitated knowledge transfer sessions for new joiners, introducing concepts of Incentive Compensation, advanced statistics, data modeling, analytics tools (MS Excel & Power BI), and effective business communication
Spearheaded development and execution of strategy that consolidated 48 sales compensation plans into 4 for a Fortune 100 conglomerate using advanced people analytics, resulting in greater consistency, strategic alignment, and streamlined performance tracking across verticals
Developed dynamic Excel and VBA tools to analyze data and create dashboards for benchmarking salary of 25+ roles the hospitality industry, comparing compensation with market standard for consistency and competitiveness
Developed an optimal go-to-market strategy through financial modeling and risk assessment for a rapidly growing startup in the medical technology sector, with the aim of facilitating its listing on the NYSE
University of California, Davis
Course: Master of Science, Business Analytics
Year: 2024-25
Highlighted Coursework: Statistics, Big Data Analytics, Experimentation & Causal Inference, Machine Learning, Agentic AI
CGPA: 4 / 4
National Institute of Technology Calicut
Course: Bachelor of Technology, Production Engineering
Year: 2017-21
Highlighted Coursework: Probability & Statistics, Operations Research, Optimization Techniques, Industrial Engineering
CGPA: 8 / 10
Projects
Explore a collection of data science, machine learning, and product analytics projects showcasing real-world applications of predictive modeling, AI solutions, and customer behavior analysis to drive business impact.
Experimentation & Causal Inference: A Step-by-Step Guide
Have you ever wondered how governments and some of the biggest companies in the world make critical decisions? How do they evaluate whether those decisions were successful? And, out of the countless options available, how do they determine the right path to take?
At scale, these decisions are driven by Experimentation and Causal Inference — a rapidly growing field propelled by advancements in data science. These methods provide a structured way to test ideas, measure their impact, and refine strategies based on evidence.
Mastering the Master's Journey (3/n)
Congratulations on deciding to pursue a master’s degree and making it through the initial exams! This is a significant milestone, but now comes the application process, which I like to call the “analysis or modeling phase” in data analysis terms. This is where the real work begins — finalizing your course and college, choosing the country, crafting SOPs, gathering LORs, and attending interviews. It might seem overwhelming, so here’s a detailed guide to help you navigate this crucial phase.
Mastering the Master's Journey (1/n)
This isn’t another “Hi All, I’m celebrating another achievement today” blog. Instead, I want to share my journey to starting MS in Business Analytics at UC Davis.
Though my classes started only a couple of days ago, it feels like I’ve been doing this for much longer because my journey to get here began more than a year ago.
Studying abroad is a dream for many. While it sounds exciting, the process can be daunting and overwhelming. I want to break down my journey into distinct steps to help others benefit from the knowledge and support I received.
Adithya has been an invaluable asset to our team, consistently exhibiting a strong work ethic, a readiness to take on responsibilities, and an eagerness to seek learning opportunities. We collaborated on two long-term, high-stakes projects where his analytical prowess, critical thinking, and strong communication skills were pivotal for our success.
Adithya’s standout qualities are his high sense of ownership and communication skills. He consistently provides critical inputs and strives to solve complex analyses. He seamlessly engages in complex conversations with team members, displaying confidence and clarity in his delivery.
Adithya has an innate ability to break down complex problems and find innovative solutions, which has consistently driven our team's success. His leadership style is both inspiring and supportive, always ensuring that juniors are given opportunities to grow and excel.
He knows how to strike the perfect balance between guiding his team and empowering them to take ownership of their projects. His dedication to fostering a collaborative and positive work environment has been instrumental in our achievements.
