Shivansh Uppal

Data Scientist

Noida, Uttar Pradesh, India1 yr 8 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Delivered predictive models cutting forecasting error by 15%
Developed price elasticity models influencing market strategies
Led machine learning research projects published in IEEE journals

Stackforce AI infers this person is a Data Scientist specializing in AI solutions for CPG and Healthcare industries.

Contact

shivanshway@gmail.com LinkedIn

Skills

Core Skills

Machine LearningData AnalysisData Visualization

Other Skills

Azure DatabricksPower BITime Series ForecastingGitHub CodespacesRobocorpGenerative AITableauMicrosoft ExcelReinforcement LearningSequential LearningScikit-LearnImage ProcessingPython (Programming Language)Microsoft Power BITableau Prep

About

I am a Data Scientist and AI professional with experience delivering predictive models and data-driven solutions for global CPG clients. My work spans improving forecasts, enhancing operational efficiency, and driving revenue growth through advanced analytics and machine learning. I have applied tools such as Tableau, Databricks, and Snowflake to design and deploy solutions that translate complex data into actionable business insights. Key contributions include developing price elasticity models that influenced market strategies and implementing ML-driven approaches that optimized performance across regions. Earlier in my career, I worked on machine learning research projects-such as fire detection and deepfake detection-that were published in IEEE journals. These experiences built the foundation for my expertise in applying AI to solve real-world challenges. I am committed to continuous growth, strengthening my skills in SQL, cloud model deployment, and algorithmic problem-solving, while fostering collaboration to amplify results. My goal is to continue building solutions at the intersection of AI, analytics, and business impact.

Experience

1 yr 8 mos

Total Experience

10 mos

Average Tenure

1 yr 1 mo

Current Experience

Accenture

Ind and Func AI Decision Science Analyst

Apr 2025 – Present · 1 yr 1 mo · Gurugram, Haryana, India

Enhanced forecast reliability by lowering MAPE ~15% for a global beverage client by deploying 3-year forecasting models across US and Canadian markets, testing macroeconomic features and resolving data outage issues, and creating trend reports in Power BI; leveraged advanced time-series (Prophet, SARIMAX, TFT) and ML (XGBoost, deep learning) techniques to enable data-backed strategic planning at scale.
Optimized Annual Distribution Business Planning by generating OSKU-outlet combinations using distributor net revenue, testing brand level groupings to reduce model runtime, and recording target variables at higher granularity to address MAPE accuracy challenges; delivered a improvement in sales planning accuracy while enhancing distributor strategy efficiency.
Contributed to building and validating a centralized feature store, actively testing and iterating pipelines using GitHub Codespaces to enable faster experimentation and cleaner collaboration.

Azure DatabricksMachine LearningData Analysis

Pwc acceleration centers

2 roles

Associate Trainee

Aug 2024 – Mar 2025 · 7 mos · Bengaluru, Karnataka, India · On-site

Built Tableau dashboards and automated workflows for data cleansing and transformation, enabling faster and more reliable data-driven decision-making.
Collaborated with cross-functional teams in an Agile environment, ensuring on-time delivery and smooth alignment across business and technical stakeholders.
Debugged and troubleshot Robocorp automation pipelines for a global entertainment client, resolving critical issues to improve process efficiency, stability, and reliability.

RobocorpGenerative AIData AnalysisData Visualization

Cloud & Digital - Data Analytics & AI

Feb 2024 – Aug 2024 · 6 mos · Bengaluru, Karnataka, India · On-site

Deployed and scaled machine learning models across 10 CPG markets, directly contributing to measurable sales revenue uplift through improved forecasting and decision intelligence.
Led the implementation of collaborative ML solutions and automation of manual workflows, driving a 20% improvement in operational efficiency and accelerating business turnaround times.

Microsoft ExcelMachine LearningData Analysis

Amazon

Amazon ML Summer School Mentee

Sep 2023 – Oct 2023 · 1 mo · Remote

Learnt Supervised Learning, Deep Neural Networks, Dimensionality Reduction, Unsupervised Learning, Probabilistic Graphical Models, Sequential Learning, Causal Inferencing, Reinforcement Learning.

Reinforcement LearningSequential Learning

Csir-national physical laboratory

Research Intern

May 2023 – Jun 2023 · 1 mo · Delhi, India · On-site

Led a transfer learning project with 2 research interns and 1 senior scientist, targeting revolutionary improvements in gastric cancer diagnoses.
Achieved high accuracy boost in gastric cancer prediction, potentially benefiting 1.2 million new cases annually.

Scikit-LearnImage Processing