ADITYA SRIJAN
Summary
Solving problems through digital transformation, process optimization, and business solutions utilizing analytics, machine learning, and decision sciences to create and execute effective business strategies. Proficient in project management, complex process analysis, and providing data-driven solutions that align with organizational objectives. Committed to applying advanced analytics and leadership to overcome business challenges and foster innovation.
Overview
7
7
years of professional experience
7
7
Certificate
8
8
years of post-secondary education
Work History
McKinsey Forward
McKinsey & Company
06.2025 - 07.2025
- Developed foundational leadership skills through structured modules in problem-solving, business communication, and digital transformation
- Gained hands-on experience in applying consulting frameworks and data-driven decision-making to real-world scenarios in diverse, cross-functional teams
- Mastered structured techniques for defining challenges, analyzing root causes, and prioritizing action steps when confronted with new problems.
- Developed a practical mindset and habit for navigating change, embracing uncertainty, and maintaining performance during transitions.
- Worked on strategies for fostering positive workplace relationships and managing personal well-being for sustained professional growth.
Trainee Next Gen Tech-Generative AI
Bertelsmann Education Group
10.2024 - 06.2025
- Foundation Model Fine-Tuning: Adapted large language models (LLMs) using parameter-efficient techniques (Hugging Face, PyTorch) for custom business NLP tasks.
Custom Chatbot Development: Built and deployed a retrieval-augmented generation (RAG) text chatbot by curating knowledge bases, implementing semantic search, and leveraging prompt engineering.
Image Inpainting and Computer Vision: Used segmentation models (SAM) and diffusion models to perform AI-guided image editing, integrating workflows with user-facing applications.
Vector Databases & RAG: Embedded structured and unstructured data for fast semantic search and personalized recommendation systems leveraging LLMs.
Collaborated with a global team of engineers on industry-aligned capstone projects, focusing on practical GenAI applications in software, vision, and NLP.
Acquired skills in Generative Adversarial Networks (GANs), OpenAI/LangChain APIs, and best practices in deploying enterprise-ready AI solutions. - Sucessfully delivered Personalized Real Estate Agent project that combines LLM-powered text generation with RAG and vector databases, providing personalized property recommendations.
Technical Project Manager
Decision Point Consulting
03.2023 - 08.2023
- Spearheaded three Agile projects by implementing SDLC methodologies, aligning business stakeholders with development teams, and delivering data-driven solutions for retail clients, ensuring on-time and within-scope project completion.
- Enhanced project efficiency by improving requirement clarity by 30% and reducing rework by 20% through detailed requirement elicitation, risk assessment, and translation of business needs into actionable technical solutions.
- Streamlined project delivery by reducing delays by 25% and ensuring 100% regulatory compliance through end-to-end documentation ownership, version control, and stakeholder collaboration.
- Boosted project approval rates by 15% by providing data-backed strategic recommendations, securing stakeholder buy-in, and supporting the development of scalable business models.
- Drove revenue growth and operational excellence by identifying 5 key optimization areas in the value chain, managing FMCG projects with 97.6% on-time delivery, and increasing account revenue by 20%..
Apprentice Leader(Data Science Manager)
Mu Sigma
03.2021 - 03.2023
- Optimized supply chain operations for a logistics company by leveraging AI/ML techniques, including feature engineering, to identify root causes of delivery delays and refine routing strategies, resulting in reduced delivery times and improved average speeds.
- Developed advanced image classifiers for an e-commerce client using computer vision, enabling accurate differentiation between diverse label types and effective noise filtering, enhancing product categorization efficiency.
- Analyzed customer churn patterns for an apparel retailer by employing metrics such as churn rate, customer lifetime value, and purchase frequency, and utilizing cluster analysis to drive actionable insights, achieving a 10% reduction in churn.
- Designed and implemented sustainable business strategies for a pharmaceutical client by capturing voice-of-customer insights, defining OKRs, and solving cross-functional challenges through analytics and decision sciences, fostering operational excellence.
- Enhanced onboarding efficiency by designing and deploying tailored onboarding programs for new hires, increasing the onboarding completion rate by 17% and improving employee readiness.
Application Development Analyst
Accenture
02.2018 - 08.2020
- Streamlined user access management by integrating SAP SuccessFactors with Microsoft Active Directory, enabling seamless application access for clients and improving system efficiency.
- Optimized data warehousing processes by leading end-to-end upgrades for data extraction, transformation, and loading (ETL) across multiple teams and platforms, enhancing data accuracy and operational efficiency for the Management Analysis and Business Intelligence team.
- Resolved system validation challenges for the Planisware Project Portfolio Management product development team, ensuring normal program functioning for Life Sciences modules and contributing to design and planning exercises for future software rollouts.
Education
Master of Technology - Computer Science and Engineering
Birla Institute of Technology
08.2024 - Current
Data Science And Artificial Intelligence -
Scaler Academy
08.2023 - 08.2024
Professional Certificate in Business Analysis - Data Analytics , Business Intelligence , Data Storytelling
Purdue University
West Lafayette, Indiana, US 05.2022 - 05.2023
Post Graduate Programme - Leadership, Analytics and Decision Sciences
T A Pai Management Institute
03.2021 - 02.2022
Bachelor of Engineering - Electronics and Communications
Dayananda Sagar College of Engineering
08.2013 - 08.2017
Skills
- Business Analysis, Management Consulting
- Agile,Scrum
- Jira, ServiceNow, MS project
- Cross-functional team coordination
- Microsoft Office Word, MS Excel
- Artificial intelligence and Machine Learning:
- Supervised and Unsupervised Learning
- Regression, Classification, Clustering, Feature Engineering
- Time Series Analysis and Recommender Systems
- Computer vision and Image processing
- Generative AI
- Coding languages like Python and SQL
- GitHub
- Business Intelligence and Analytics
- Data Visualization and Storyboarding
- Tableau, MS Power BI
- MS PowerPoint
Certification
- Generative AI Nanodegree- Udacity
- Microsoft - Introduction to Copilot
- Certified Business Analysis Professional -IIBA
- Lean Six Sigma Black Belt Certification
- Certified Scrum Product Owner-Scrum Alliance
- Certified Scrum Master (CSM) - Scrum Alliance
- AWS -Foundation of Machine Learning
- AWS- Data Science Fundamentals
- Jira Fundamentals - Altassian
Timeline
McKinsey Forward
McKinsey & Company
06.2025 - 07.2025
Trainee Next Gen Tech-Generative AI
Bertelsmann Education Group
10.2024 - 06.2025
Master of Technology - Computer Science and Engineering
Birla Institute of Technology
08.2024 - Current
Data Science And Artificial Intelligence -
Scaler Academy
08.2023 - 08.2024
Technical Project Manager
Decision Point Consulting
03.2023 - 08.2023
Professional Certificate in Business Analysis - Data Analytics , Business Intelligence , Data Storytelling
Purdue University
05.2022 - 05.2023
Post Graduate Programme - Leadership, Analytics and Decision Sciences
T A Pai Management Institute
03.2021 - 02.2022
Apprentice Leader(Data Science Manager)
Mu Sigma
03.2021 - 03.2023
Application Development Analyst
Accenture
02.2018 - 08.2020
Bachelor of Engineering - Electronics and Communications
Dayananda Sagar College of Engineering
08.2013 - 08.2017
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