Gowtham Kumar

Co-Founder

Coimbatore, Tamil Nadu, India8 yrs 4 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Co-Founder of Traders Mentor School and DigiPasi.
Led R&D initiatives in FMCG for customer intelligence.
Expert in data analysis and machine learning applications.

Stackforce AI infers this person is a Data Analyst with expertise in FMCG and Digital Marketing.

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Skills

Core Skills

Data AnalysisMachine LearningMarket Research

Other Skills

Crowdsourcing AnalyticsVoice of Customer (VoC) Intelligence SystemSentiment AnalysisExploratory Data Analysis (EDA)Data VisualizationStatistical AnalysisBusinessInvestmentsTradingStock MarketDigital marketingRStudioSearch Engine Optimization (SEO)Business DevelopmentSocial Media Marketing

About

Entrepreneur | Certified Research Analyst | MBA Finance Speaker & Mentor in Traders Conclave & BOTS Personal Finance • Mindset • Business Growth

Experience

8 yrs 4 mos

Total Experience

3 yrs 7 mos

Average Tenure

5 yrs 5 mos

Current Experience

Traders mentor school

Co-Founder

Jan 2023 – Present · 3 yrs 4 mos · Bengaluru, Karnataka, India

Digipasi

Founder and CEO

Dec 2020 – Present · 5 yrs 5 mos · India

Cavinkare

2 roles

Associate Data Scientist

May 2019 – Dec 2020 · 1 yr 7 mos

R&D – FMCG | Customer Intelligence & ML Applications
Led two R&D initiatives: Crowdsourcing Analytics and Voice of Customer (VoC) Intelligence System to centralize customer sentiment data.
Built a unified feedback dashboard aggregating social media data and e-commerce reviews; performed sentiment analysis and trend detection to identify product-level insights.
Designed research protocols and experimental frameworks to evaluate product efficacy across Personal Care and Food categories using structured data collection methodologies.
Conducted exploratory data analysis (EDA) on structured and unstructured datasets to identify patterns, anomalies, and predictive signals.
Identified and defined machine learning use cases within FMCG workflows, including demand forecasting, sentiment classification, and product performance prediction.
Developed and evaluated multiple ML models (classification and regression), comparing performance using accuracy, precision, recall, F1-score, and cross-validation techniques.
Analyzed model impact on system performance and recommended optimization strategies for deployment readiness.
Delivered visual insights and technical documentation to stakeholders to support data-driven decision-making.

Crowdsourcing AnalyticsVoice of Customer (VoC) Intelligence SystemSentiment AnalysisExploratory Data Analysis (EDA)Machine LearningData Visualization+1

Data Trainee

Mar 2019 – Apr 2019 · 1 mo

Atoa scientific technologies

Data Analyst Intern

Apr 2018 – Jul 2018 · 3 mos · Whitefield, Bangalore

Transportation & E-Mobility Sector
Conducted structured market research on the transportation and electric mobility industry; collected, cleaned, and analyzed primary and secondary datasets to identify market trends and user behavior patterns.
Designed and executed online and offline surveys; performed data aggregation and statistical analysis to extract actionable insights.
Translated business requirements into analytical frameworks and developed a data-driven project plan aligned with product development objectives.
Proposed a data-backed product concept — VE-Share, a multi-utility shared mobility vehicle — based on demand analysis, customer segmentation, and market gap identification.
Created dashboards and visual reports using data visualization tools to present insights to stakeholders.
Produced structured technical documentation, analytical summaries, and presentation materials to support decision-making.

Market ResearchStatistical AnalysisData Visualization