Akshat Agarwal

Product Manager

Bangalore, Karnataka, India3 yrs 1 mo experience

Most Likely To Switch

Key Highlights

Experienced in Data Analytics and Product Management.
Proficient in Microsoft Power BI and Azure tools.
Led a team project on sentiment analysis.

Stackforce AI infers this person is a Data Analytics and Product Management professional with experience in SaaS.

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Skills

Core Skills

Data AnalyticsMicrosoft Power BiProduct ManagementProduct Marketing

Other Skills

A/B TestingAnalytical SkillsAzure Data FactoryAzure DatabricksAzure DevOps ServerC++CleverTapCommunicationData AnalysisEnglishEvent ManagementFigma (Software)HindiHip-Hop DanceJira

Experience

Navi

2 roles

Associate Product Manager - II

Promoted

Jul 2025 – Present · 8 mos · Bengaluru, Karnataka, India

Associate Product Manager

May 2024 – Jul 2025 · 1 yr 2 mos · Bengaluru, Karnataka, India

Thorogood

Data and Analytics Consultant

Jul 2023 – May 2024 · 10 mos · Bengaluru, Karnataka, India · On-site

Data AnalyticsMicrosoft Power BIPySparkMicrosoft Power AppsAzure Data FactoryAzure Databricks+1

Acko

Product Management Intern

Jan 2023 – Jun 2023 · 5 mos · Bengaluru, Karnataka, India · On-site

Data AnalyticsMetaBaseProduct LaunchFigma (Software)JiraProduct Lifecycle Management+2

Medtel healthcare

Product Management Intern

Jul 2022 – Dec 2022 · 5 mos

Ketto

Product Management Intern

Dec 2021 – May 2022 · 5 mos · Mumbai, Maharashtra, India

Microsoft OfficeA/B TestingData AnalyticsMetaBaseFigma (Software)Product Marketing+1

Frontrow

Product Intern

Jun 2021 – Sep 2021 · 3 mos

Microsoft OfficeMixpanelCleverTapFigma (Software)Product MarketingSQL+1

Industryarc™

Summer Intern

Jun 2020 – Jul 2020 · 1 mo · Hyderabad, Telangana, India

Lead a team of fellow interns and developed a working prototype of a sentiment analysis program with a basic GUI which analyzed news articles scraped from the internet or fed by the users. The program used clustering to identify the category the news belonged to (i.e. business/technology/sports) and then using language libraries like NLTK and SpaCy gave out a numerical output to show the sentiment (positive/neutral/negative).

Microsoft Office