Karthikeyan S

Product Manager

Bengaluru, Karnataka, India4 yrs 10 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Designed scalable ML solutions for supply chain.
Developed GenAI-powered tools for operational efficiency.
Led successful forecasting initiatives with real-time dashboards.

Stackforce AI infers this person is a Data Science professional specializing in Supply Chain Analytics and Machine Learning.

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Skills

Core Skills

Machine LearningData Science

Other Skills

AlgorithmsAmazon Web Services (AWS)Big Data AnalyticsCollaborationData AnalysisData ModelingData VisualizationDemand ForecastingForecastingGenerative AIHypothesis TestingMATHLABMathematical ModelingMicrosoft ExcelMicrosoft Word

About

Data Science professional with 4+ years of experience driving impact through advanced analytics, machine learning, and forecasting across supply chain and operations domains. Proven ability to design scalable ML solutions, automate predictive workflows, and integrate AI-driven tools into business processes. Core expertise includes time series forecasting, generative AI applications, and end-to-end model deployment — complemented by a strong foundation in Python, SQL, and dash-boarding. Experience spans demand planning, NLP, compliance automation, and decision intelligence initiatives for global clients. Currently enhancing my strategic and domain expertise through the MITx MicroMasters in Supply Chain Management. Known for a strong sense of ownership, cross-functional collaboration, and continuous learning mindset.

Experience

Accenture in india

2 roles

I&F Decision Sci Specialist • Data & AI | SC&O

Jun 2025 – Present · 9 mos · Bengaluru, Karnataka, India · Hybrid

I&F Decision Sci Sr Analyst • Data & AI | SC&O

May 2022 – Jun 2025 · 3 yrs 1 mo · Bengaluru, Karnataka, India · Hybrid

A modular, end-to-end forecasting framework was designed and implemented, leveraging advanced time series models and rolling window techniques. It was integrated into real-time dashboards to support decision-making and reduce manual data refreshes.
Reusable Python packages were developed and deployed to streamline model training, evaluation, and automation across environments, resulting in improved deployment speed and consistency.
A GenAI-powered CAPA solution was created using NLP, LangChain, and LLM APIs to extract actionable insights from unstructured incident logs. A domain-specific chatbot was also developed to address compliance-related queries in real time, with dynamic context handling and prompt engineering.
Additional contributions included the development of NLP utilities such as topic modeling and text classification for operational automation use cases.

Time Series AnalysisPythonNLPGenerative AIData VisualizationMachine Learning+1

Bridgei2i analytics solutions

2 roles

Business Analyst • Supply Chain Analytics

Promoted

May 2021 – May 2022 · 1 yr · Bengaluru, Karnataka, India

Led the design of the end-to-end forecasting workflow, identifying optimal univariate and multivariate algorithms, features, model selection techniques, and reconciliation methods.
Orchestrated the successful deployment of the forecasting framework, ensuring optimal logical flow and seamless integration across production and development environments.
Took ownership of key processes, driving the overall modeling deliverables with minimal guidance, and played a central role in ensuring smooth project execution.
Engineered innovative image translation functions from scratch, leveraging core image processing techniques to design algorithms that efficiently rearrange jumbled images, showcasing strong problem-solving and algorithm development skills. Tackled various Natural Language Processing (NLP) tasks, including text cleaning, topic visualization, sentiment analysis, and text classification, demonstrating a versatile skill set in text data analysis. Secured 4th place in a competitive NLP and Computer Vision hackathon, highlighting a solid grasp of both domains and the ability to apply skills under pressure. Completed foundational courses in AWS and PySpark, building a strong foundation in cloud computing and big data technologies.

Time Series AnalysisPythonNLPData VisualizationData ScienceMachine Learning

Analyst • Supply Chain Analytics

Nov 2020 – May 2021 · 6 mos · Bengaluru, Karnataka, India

Pioneered an automated forecasting framework to replace inefficient manual processes for predicting volumes, headcount, and costs, significantly improving accuracy and reducing turnaround time.
Assisted the data modeling team in defining logics to granulate forecasts into various database hierarchies and tables, streamlining data access for both backend and forecasting frameworks.
Collaborated with the data engineering team to resolve key backend issues, enhancing the robustness and stability of the framework.

ForecastingData ModelingCollaborationData Science

Rainman consulting pvt ltd

Data Analyst

May 2018 – May 2018 · 0 mo · India

Identification and implementation of techniques used for determining pairs of stocks for pairs trading and concluding on which is the most efficient method.

Pairs TradingStatistical Analysis