Priyangi .

Product Manager

Delhi, India9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Self-taught in SQL, Python, and data visualization tools.
Developed an AI skincare recommendation system.
Transitioning towards product management with a data-driven approach.

Stackforce AI infers this person is a Data Analyst with a focus on E-commerce and Product Management.

Contact

Skills

Core Skills

Data AnalyticsMachine Learning

Other Skills

Data AnalysisData VisualizationSQLPythonscikit-learnt-SNE clusteringBokeh visualizationMarketing AnalyticsProblem SolvingDashboard MetricsData AIForensic AnalysisData IntelligenceScalabilityClient Analysis

About

Hey, I'm Priyangi! I started out in commerce chasing finance (ACCA ftw), but somewhere along the way I got distracted for good by data, tech, and solving real problems. That curiosity pulled me into a self-taught journey - SQL, Power BI, Python, R, Tableau - and into building projects like churn prediction and recommendation systems, where messy data turns into something useful. Right now, I’m learning and building every day, slowly shaping my path towards product management - combining data, user thinking, and execution🏃🏻‍♀️ If you’re working on interesting data/ product development projects, hiring curious minds, or are on a similar journey - say hi. Let's talk Data and AI. Or Taylor Swift. Or feminism. Or football- I'm game for all!!!!!!!💌

Experience

9 mos

Total Experience

9 mos

Average Tenure

Current Experience

Elevate labs india

Data Analyst

Nov 2025 – Dec 2025 · 1 mo · India · Remote

Analyzed datasets to extract key insights and performance indicators as part of a structured internship project. Created basic visualizations and summaries to support data-driven decision-making.

Data AnalysisData VisualizationSQLData Analytics

Medtoureasy

Data Analysis Trainee

Jun 2025 – Jul 2025 · 1 mo · Remote

Medtoureasy india

Data Analyst

Jun 2025 – Jul 2025 · 1 mo

Built an Al-driven skincare recommender system using content-based filtering (Python, scikit-learn), matching products to customer profiles. Applied t-SNE clustering + Bokeh visualization to map product similarities and enhance personalization. Delivered a functional prototype for beauty e-commerce use cases (ingredient + skin-type matching).

Pythonscikit-learnt-SNE clusteringBokeh visualizationMachine Learning