Asif Akhtar

Business Development Executive

New Delhi, Delhi, India3 yrs 2 mos experience

Key Highlights

Expert in data analysis and visualization tools.
Proven track record in optimizing product features.
Strong background in business strategy and project management.

Stackforce AI infers this person is a Product Analyst with expertise in SaaS and data-driven decision-making.

Contact

Skills

Core Skills

Product DesignBusiness StrategyData AnalysisGoogle BigqueryProject Management

Other Skills

A/B TestingApache AirflowApache SupersetBusiness AnalysisC++Cohort AnalysisConjoint AnalysisContent ManagementCorporate Social ResponsibilityData StructuresEarly-Stage StartupsFinanceFinancial AccountingFinancial Statement AnalysisGoogle Analytics

About

Passionate about product, decision analytics & data science. Currently, I am working as a Product Analyst at Spinny, where I collaborate closely with Product Managers and the Business team to scale the Auctions platform of Spinny Partners to 10k deliveries per month. My core competencies include - • Data Analysis & Visualization: proficient in Python (numpy, pandas), SQL, ML, Tableau & LookerStudio. • Tools: experienced with Google BigQuery, Excel, Google Sheets, Apache Airflow, Growthbook & JIRA. • Methodologies: solid understanding hypothesis testing, AB testing, Product Design & Agile Outside of my career, I am an avid reader of Russian classics, space enthusiast & a guitarist!

Experience

3 yrs 2 mos

Total Experience

9 mos

Average Tenure

8 mos

Current Experience

Meesho

Business Analyst II

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

Team: Fulfillment & Experience (Biz-Fin)

Plazza

Product Analyst

Aug 2025 – Oct 2025 · 2 mos · Bengaluru, Karnataka, India · On-site

Responsible for setting up 0 to 1 analytics across product, marketing, and logistics functions.

Spinny

2 roles

Product Analyst

Jun 2024 – Jul 2025 · 1 yr 1 mo · Gurugram, Haryana, India · Hybrid

Team: Auctions (Spinny Partners)
Revamped the Save Alert feature (7% adoption among bidding dealers) by drafting the PRD for the Car Match feature, defining product design, success metrics, WebEngage communication setup, and stratified sampling for A/B test segmentation
Analyzed 500+ filter combinations (CTR, bid rate, seen-to-bid ratio) to identify the top 5 combinations, targeting 57% of monthly bidding dealers with optimized filters for the Car Match launch
Projected a monthly increase in stock-ins by ~300 cars, leading to an annual net margin increase of ~₹6 crore by performing cohort analysis of non-stock-in leads (CEP-DHP delta) and balancing reduced margin trade-offs
Identified 5 auction time slots – 3 with dealer-auction inconsistency & 2 with participation opportunity – by analyzing active dealers, impressions, no-bid rates, and RTO group trends
Designed a Tableau-based multivariate experiment readout dashboard, enabling PMs to prioritize the recommendation engine and sorting logic, which improved seen-to-bid by 11% & 5% for recommended sets and overall, respectively
Built the Auction Dashboard in Looker Studio with ETL pipelines (Apache Airflow, BQ), consolidating 25+ metrics on dealer participation, retention, feature adoption & app health with dynamic slicing by auction, dealer, & lead attributes
Structured and developed 7 Auction Fact Tables with ETL pipelines (Apache Airflow, BigQuery), optimizing query performance and reducing complexity across 15+ product and business use cases

Business StrategyProduct Lifecycle ManagementProduct Design

Product Analyst

Apr 2024 – May 2024 · 1 mo · Gurugram, Haryana, India · Hybrid

Team: Demand
Boosted lead capture rate by 5% and cut lead generation time by 15% by deploying an end-to-end inside sales lead scoring (L2V) LGBM model in Python feeding on a vast set of user data – from app activity to marketing channel footprints
Achieved a 40% reduction in home test drives by analyzing fake door experiment readouts using SQL in Google BigQuery
Devised an agent scoring engine using Llama LLM & sales transcripts, followed by cohort analysis using Sankey Plot
Developed a statistical dashboard for all PMs across consumer segment in Looker Studio (Google BigQuery backend) for visibility on WebEngage campaign deviation alerts, increasing broken campaign discovery by 30%

Google AnalyticsCohort AnalysisStatisticsHypothesis TestingApache SupersetGoogle BigQuery+7

Talentship global advisory forum

Business Strategy Consultant

Oct 2023 – Dec 2023 · 2 mos

Conducted research & analysis on 3 pro-bono consulting projects, contributing to decision-making for strategic initiatives
Orchestrated data collection & interpretation processes and delivered report presentations for clients

Business AnalysisBusiness StrategyProject ManagementMicrosoft PowerPointProblem SolvingStrategy

Karostartup

Business Development & Strategy

Sep 2023 – Oct 2023 · 1 mo

Achieved 12.5% increase in followers & 15% improvement in post discoverability by tracking KPIs & CTA engagement
Connected with 50+ startup founders through LinkedIn Sales Navigator to publish their startup journeys on our platform

Early-Stage StartupsMicrosoft OfficeData AnalysisSocial Media StrategyStrategyBusiness Strategy

Hhfc trust

2 roles

Corporate Social Responsibility Manager

Jun 2023 – Aug 2023 · 2 mos

Corporate Social Responsibility

Content Writer

Dec 2022 – Aug 2023 · 8 mos

Partnered with 30+ brands to raise Rs. 3lakh+ through fundraising & outreach proposals within a 7-member team
Supported 5 projects aiding underprivileged families, spanning disaster relief, shelter, & education

Content ManagementMicrosoft OfficeWeb Content Writing