Akshay Rana

Product Manager

Delhi, India7 yrs 3 mos experience

Most Likely To Switch

Key Highlights

Over 7 years of experience in data-driven storytelling.
Led impactful projects in Fintech and E-commerce.
Expert in machine learning and predictive analytics.

Stackforce AI infers this person is a data-driven Product Analyst with expertise in Fintech and E-commerce sectors.

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Skills

Core Skills

Product & Business AnalyticsData VisualizationMachine Learning

Other Skills

PythonSQLData AnalysisCohort AnalysisData AnalyticsProduct AnalyticsBusiness AnalyticsOral CommunicationKey MetricsData ModelingDashboardCommunicationBusiness InsightsAnalyticsProject Management

About

Skilled professional with over 7 years of experience in storytelling with data and generating actionable insights aligned with product development and business objectives by leveraging SQL, BI tools, Python, A/B Testing, and machine learning across E-com, Fin-Tech, and Social media industries. Core Competencies: - Team Leadership & Mentoring - Product & Business Analytics - Predictive Analytics - A/B Testing - Stakeholder Management Technical Skills: SQL, Excel, Statistical Analysis, A/B Testing, Data Visualisation, Machine Learning

Experience

7 yrs 3 mos

Total Experience

1 yr 9 mos

Average Tenure

2 yrs 11 mos

Current Experience

Paytm payments bank

Product Analyst - Deputy Manager

May 2023 – Present · 2 yrs 11 mos · Noida, Uttar Pradesh, India · Hybrid

Presented key metrics, product performance, and actionable insights during the weekly review to senior management.
Partnered with cross-functional teams to effectively resolve RBI audit findings, maintaining a continuous improvement loop that led to over 90% observations closures.
Led a project to implement an end-to-end Video KYC dashboard, including instrumentation, table ingestion, and automation.
Worked on AOP planning for bank, formulating annual and quarterly plan to achieve 5X Mau over the period next one year using insights from historical data.
Spearheaded creation of an intuitive KYC dashboard consolidating high-level and downstream metrics and funnels, enabling gap detection and a 14% enhancement in KYC numbers with optimised resource allocation.

PythonSQLProduct & Business AnalyticsData Visualization

Sharechat

Product Analyst

Sep 2021 – Feb 2023 · 1 yr 5 mos · Bangalore Urban, Karnataka, India

Developed a machine learning classification model to distinguish between good and bad users on the platform, reducing identification cost by ₹8L/month.
Co-managed the implementation of score model to determine the quality of a user, resulting in improving the efficiency of moderation and content safety by 20%.
Worked closely with growth manager to improve activation and retention of users by implementing growth campaigns.
Created various automation processes for reports, dashboards, and data sharing.
Conducted A/B testing experiments.
Helped product managers in writing PRDs by providing data insights and product requirements, and provided database and analytics support for various feature releases.
Utilised machine learning techniques to develop a retention driver model focused on identifying key variables
for improving retention, resulting in a 3.6% increase in retention.

Cohort AnalysisData AnalyticsProduct & Business AnalyticsMachine Learning

Meesho

Business Analyst

Feb 2021 – Sep 2021 · 7 mos · India

Presented KPI reports to CEO on weekly reviews.
Created a merchant reactivation mechanism driven by data analytics, achieving a 2% increase in active merchants.
Worked with analysts of different functions to keep check on data sanity and provide automation solutions.
Created robust data models, supported product managers with feature implementation insights, and delivered analytics solutions to various stakeholders.

Cohort AnalysisData AnalyticsProduct & Business Analytics

Freecharge

Business Analyst - User Growth

Oct 2018 – Feb 2021 · 2 yrs 4 mos · Gurugram, Haryana, India · On-site

Managed user churn and reactivation cycles within the Recharge and Bill Payment segment, driving a 6% improvement in reactivation.
Provided automation, reports, analytics and database solutions for various financial products – Freecharge Loan, Personal Loan, Gold and Mutual Fund.
Worked on many in-house requirements, such as ensuring the smooth process of promo-code linking with users, creating pipelines to populate data in Redshift, and executing campaigns, etc.
Reduced communication spending by 20% via optimised new user acquisition campaigns.
Provided support for various ad-hoc requests around campaign execution – identifying target users, data processing, scheduling campaign query.

Cohort AnalysisData AnalyticsProduct & Business Analytics