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I'm

Yash Giradkar

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PGDM Business Analytics at N.L. Dalmia — building decision intelligence platforms, credit analytics research, and ML forecasting systems that turn data into measurable business impact.

Product Management
FinTech
Data Analytics
Business Analysis
Yash Giradkar - Business Analyst, Product Analyst, Data Analyst
About Me

Bridging Data & Strategy

Turning analytics into actionable business outcomes

I'm a PGDM Business Analytics student at N. L. Dalmia Institute of Management Studies and Research, Mumbai, with a B.E. in Information Technology from KDK College of Engineering, Nagpur. I combine product analytics, SQL/Python engineering, and business intelligence to solve real problems — from MSME credit decisioning and lending intelligence at Recordent to enterprise dashboards, ML forecasting, and competitive benchmarking systems. I translate complex data into executive-ready insights that drive measurable outcomes.

PGDM, Business Analytics

N. L. Dalmia Institute of Management Studies and Research

2025 – 2027 · Mumbai, India

B.E., Information Technology

KDK College of Engineering, Nagpur

2019 – 2023 · Nagpur, India

analytics-overview.dashboard
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Real-time career metrics & analytics footprint

Career Journey

2019

Engineering Foundation

Began B.E. in Information Technology at KDK College of Engineering, Nagpur — building core programming, databases, and systems fundamentals.

2023

Software Development Internship

Joined Codekul as Software Developer Intern, building backend modules for DocITHealth using Java, Spring Boot, and PostgreSQL in a healthcare product environment.

2025

Business Analytics Specialization

Enrolled in PGDM Business Analytics at N.L. Dalmia, Mumbai — deepening expertise in forecasting, KPI frameworks, credit analytics, and data-driven product strategy.

2026

Product Analytics & Credit Intelligence

Product Analyst Intern at Recordent researching MSME lending, credit decisioning, and AI-driven risk analytics while leading placement initiatives and building enterprise analytics platforms.

Career

Professional Experience

Building analytics solutions across product and engineering domains

Current

Product Analyst Intern

Recordent Pvt. Ltd.

Jun 2026 – PresentRemote / Mumbai

Driving fintech-focused research in MSME lending, credit decisioning, and risk analytics — evaluating lending ecosystems, competitive landscapes, and AI-driven credit intelligence frameworks for strategic product decisions.

Responsibilities

  • Researching the 16-stage Indian MSME lending lifecycle across sourcing, underwriting, credit decisioning, and post-disbursement monitoring to map key gaps and opportunities in lender decision-making
  • Conducting competitive analysis of 20+ fintech and lending platforms including credit bureaus, Account Aggregator ecosystems, alternate data providers, A/R platforms, and AI-driven lending solutions
  • Exploring credit decision frameworks for creditworthiness assessment, early warning detection, dynamic credit limit management, and borrower risk monitoring through data-driven approaches
  • Supporting strategic research on AI-driven credit intelligence, borrower health assessment, and application of alternative data in lending and risk management
  • Benchmarking industry practices across underwriting models, bureau integrations, and post-disbursement monitoring workflows for product strategy recommendations
  • Synthesizing market intelligence into structured insights for leadership on lending technology trends, regulatory shifts, and competitive positioning
  • Documenting research findings on MSME credit ecosystems, lender pain points, and opportunity areas for data-led product innovation

Technologies

PythonSQLExcelPower BIPostgreSQLCompetitive AnalysisCredit Risk ResearchFinTech AnalyticsProduct Strategy

Achievements

  • Mapped the complete MSME lending value chain across 16 stages, identifying critical decision points for credit intelligence intervention
  • Analyzed 20+ lending and alternate data platforms to benchmark industry capabilities and market positioning
  • Contributing to AI-driven credit decision framework design covering early warning systems and dynamic limit management
  • Delivering structured competitive intelligence on Account Aggregator ecosystems and bureau-led underwriting models
Portfolio

Featured Projects

End-to-end analytics solutions with measurable business impact

N
Analytics

NexusIQ

Enterprise Decision Intelligence Platform

PythonPostgreSQLStreamlitPlotly+4
R
Machine Learning

Rail Crowd Forecasting System

Coach-Level Passenger Demand & Revenue Intelligence

PythonScikit-learnPandasStreamlit+3
C
Business Intelligence

Competitive Analysis Intelligence System (CAIS)

Institute Benchmarking & Strategic Intelligence Platform

PythonSQLPower BIExcel+3
Expertise

Skills Intelligence

Interactive toolkit & analytical capabilities

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Tools & analytical capabilities — no ratings, pure expertise

Impact

Business Impact

Driving measurable outcomes through data-driven decision making

20+

Fintech platforms analyzed

Credit Intelligence

Researching MSME lending ecosystems, credit decisioning frameworks, and AI-driven borrower risk monitoring to inform fintech product strategy and competitive positioning.

25%

Prediction accuracy improvement

Forecasting

Built ML forecasting models for railway crowd prediction and enterprise revenue planning, enabling proactive operational and financial decision-making.

25+

Business KPIs unified

Decision Intelligence

Engineered NexusIQ executive dashboards consolidating 25+ KPIs with ETL pipelines, star-schema warehousing, and interactive analytics for leadership teams.

3

Production data platforms built

Data Warehousing

Designed PostgreSQL star-schema architectures with automated ETL pipelines and Neon DB integration for scalable, centralized business reporting.

10+

Institutes benchmarked

Competitive Benchmarking

Built CAIS — a live institute benchmarking system reducing manual competitive research by 20–25% and powering year-round strategic placement decisions.

15+

Operational KPIs tracked

Revenue Recovery

Developed revenue-loss analysis modules identifying 10–20% financial leakage per coach through crowd forecasting and utilization analytics.

Milestones

Achievements

Continuous growth across research, analytics, and leadership

0

Key Projects

NexusIQ, Rail Crowd Forecasting System & CAIS benchmarking platform

0

Internships

Product Analyst Intern at Recordent & Software Developer Intern at Codekul

0

Leadership Roles

Placement Sector Head – IT & SPOAX representative

0+

Platforms Analyzed

Fintech, lending & alternate data platforms researched for MSME credit intelligence

Leadership

Leadership & Community

Driving initiatives that connect talent with opportunity

Placement

Placement Representative & Sector Head – IT

N. L. Dalmia Institute of Management Studies and Research

2025 – Present

Leading placement coordination for the IT sector — managing recruiter communication, student tracking, interview scheduling, and corporate outreach. Mentoring sector coordinators and coordinating with HR teams through professional calls and emails to align hiring requirements with student capabilities.

Leadership

SPOAX Representative

N. L. Dalmia Institute of Management Studies and Research

2025 – Present

Serving as the SPOAX representative for a cohort of 15 students — managing placement queries, resume updates, interview coordination, and centralized tracking of student readiness, recruiter follow-ups, and interview progress.

Get In Touch

Let's Connect

Open to analytics roles, internships, and collaborative projects

Contact Information

Location

Mumbai, Maharashtra, India

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