Atharva Badhe

Data Scientist

Mumbai, Maharashtra, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Built dashboards that cut reporting time by 70%
Delivered ML models as user-friendly applications
Integrated multiple data sources for actionable insights

Stackforce AI infers this person is a Data Scientist specializing in Fintech and E-commerce analytics.

Contact

Skills

Core Skills

Data AnalysisMachine LearningData VisualizationData Pipelines

Other Skills

DashboardsData ScienceAPI DesignPostgreSQLPythonBusiness Intelligence (BI)AI AutomationMongoDBTelemetry AnalysisMotorsport AnalyticsSportsMotorsportsFeature EngineeringData AnalyticsMySQL

About

You have the data. You don't have 40 hours to make sense of it. I'm a data scientist who builds dashboards, ML models, and AI tools for early-stage founders. You get quality work from someone hungry enough to over-deliver on every project. Industries I focus on: Fintech, E-commerce, Automotive & Mobility, SaaS. What I delivered: → Competitive intelligence dashboards for fintech clients including multiply.ai and Pliant → Integrated 5+ data sources — Trustpilot reviews, hiring signals, industry news → Reduced manual analysis time by 70% → Dashboards directly shaped sales strategy and earned repeat engagement What I help founders with: → Data Analysis & Dashboards Scattered spreadsheets transformed into interactive dashboards with metrics that drive Monday morning decisions. → Predictive ML Models Fraud detection, churn prediction, demand forecasting — delivered as apps your team uses, not code that collects dust. → RAG Chatbots (Beta) Your documents made searchable through plain English. Limited spots while I build this offering. Currently taking on a few projects at reduced rates while I build case studies. Interested? DM me and I'll send my booking link.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Self-employed

Data Scientist (Freelance)

Nov 2025 – Present · 6 mos · Remote · Remote

I work with early-stage startup founders who have data scattered across tools but no time to make sense of it.
How I work:
→ Discovery call to understand your actual business problem (not just the technical request)
→ Clear scope document before any building begins
→ Progress updates throughout — no black-box surprises
→ Handoff with documentation your future hire can build on
What I've built for clients:
→ Competitive intelligence dashboards integrating reviews, hiring data, and news signals
→ Interactive analytics for customer behavior, operations, and market positioning
→ ML models delivered as web applications — not notebooks
I work across time zones (collaborated with German teams for 3 months) and communicate in plain English, not jargon.
Industries: Fintech, E-commerce, Automotive, SaaS.
Currently have availability for 2-3 projects. DM me if you want to talk.

Data AnalysisDashboardsMachine LearningData VisualizationData Science

Lifo.ai

AI Engineer Intern

Nov 2025 – Mar 2026 · 4 mos · Amsterdam · Remote

Developing and maintaining the production backend for LIFO’s Square POS–integrated inventory intelligence platform, enabling batch-level expiration tracking for perishable goods
Designing and optimizing APIs using FastAPI to support real-time transaction ingestion, expiration batch mapping, and inventory synchronization
Collaborating with the frontend team to define clean API contracts and integration workflows for current and upcoming third-party POS systems
Architecting and optimizing the Supabase (PostgreSQL) database, focusing on:
Authentication and role-based access control
Row-level security (RLS)
Query performance and data consistency
Building and hardening data pipelines for POS events, inventory updates, and shelf-level expiration data with strong emphasis on reliability, latency, and fault tolerance
Delivering ad-hoc analytics and operational insights to support product decisions, merchant reporting, and waste-reduction evaluation
Integrating machine learning frameworks for action-recommendation systems (e.g., discount timing, removal, replenishment) in collaboration with the core engineering team
Contributing to system architecture, deployment workflows, and production optimization in an early-stage startup environment

Data PipelinesAPI DesignPostgreSQLMachine Learning

Wavess

Data Science Intern

Jul 2025 – Oct 2025 · 3 mos · Berlin, Germany · Remote

Deliver actionable business insights to client sales teams through comprehensive competitor analysis
Analyze hiring signals across EMEA region to identify competitive threats and market opportunities
Develop strategic recommendations for sales teams to counter competitor expansion based on tech job posting patterns
Build and deploy interactive dashboards using Streamlit to present analytical findings to stakeholders
Apply data analysis and analytical thinking to transform raw hiring data into strategic business intelligence

Data AnalysisMachine LearningPython