Aayushi Jaiswal

AI Researcher

Bengaluru, Karnataka, India0 mo experience
AI EnabledAI ML Practitioner

Key Highlights

  • Improved data accuracy by ~30% at NITI Aayog.
  • Developed multiple ML-driven solutions for diverse industries.
  • Built a personal analytics platform, AayushiAnalytics.com.
Stackforce AI infers this person is a Data Analyst with strong expertise in Machine Learning and Business Analytics.

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Skills

Core Skills

Machine LearningData AnalysisBusiness Analysis

Other Skills

Statistical Data AnalysisPython (Programming Language)Microsoft ExcelMicrosoft PowerPointEnd-to-End Solution DevelopmentModel Building & Evaluation (ML)Technical Communication & Insight TranslationAlgorithmic & Analytical ThinkingBusiness StrategyStructured Problem DecompositionAlgorithmsData StructuresTechnical CommunicationData-driven Decision MakingAlgorithmic Thinking

About

I'm the person who reads the footnotes in a data report and spots the decision nobody else caught. Head Girl. NITI Aayog. AI builder. Still taking notes. Most people in this space learn tools. I got obsessed with the gap between raw data and the moment someone actually decides something — and spent the last few years trying to close it from every angle possible. At NITI Aayog and Ada Lovelace Software, I worked across 50,000+ records, rebuilt reporting workflows from scratch, and pushed data accuracy up by ~30%. Not because the job description said to — because messy data and slow decisions bother me the same way a wrong answer on an exam does. My projects say more than my resume can. I built a Lightweight LLM-RAG QA System — because "powerful but unusable" is just expensive failure. An AI Inventory Agent that actually understands business logic, not just API calls. A Smart Expense Analyzer because money patterns are just human behavior in spreadsheet form. And a Quantum-Secure Payment Authentication system — because if you're building financial infrastructure, the threat model has to be ten years ahead of the attack. I also built AayushiAnalytics.com — my own analytics platform — because I wasn't going to wait for someone to hand me the title before I started doing the work. Before the code, I ran systems for 1,500 people as Head Girl — where decisions had faces attached to them and "I'll figure it out later" wasn't an option. Competitive exam prep taught me that clarity under pressure is a skill, not a personality trait. Independent living taught me the rest. I'm looking for a team that moves fast, thinks in systems, and actually uses data to decide things — not just report them. If that's you, my inbox is open. Let's talk before someone else does.

Experience

0 mo
Total Experience
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Average Tenure
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Current Experience

Ada lovelace software

Machine Learning Intern

Feb 2026Present · 4 mos · Bengaluru · Hybrid

  • Worked on applied machine learning problems in a fast-paced internship environment — moving from problem definition to model deployment across real datasets and business-relevant use cases.
  • → Trained, evaluated, and iterated on ML models across classification and prediction tasks — optimizing for accuracy, generalization, and real-world applicability beyond benchmark performance.
  • → Performed end-to-end exploratory data analysis on structured datasets — uncovering patterns, handling noise, and engineering features that meaningfully improved model performance.
  • → Applied statistical analysis and model evaluation frameworks to validate outputs — ensuring results were not just mathematically sound but practically useful for decision-making.
  • → Collaborated on building pipelines that took data from raw input to trained model to evaluated output — developing a systematic approach to ML problem-solving under real constraints.
  • → Deepened expertise in Python-based ML stack — working hands-on with model training, evaluation loops, and performance diagnostics across multiple project cycles in a 3-month sprint.
Statistical Data AnalysisMachine LearningData Analysis

Niti aayog official

Data Analyst & Operations Intern

Aug 2024Oct 2024 · 2 mos · New Delhi · On-site

  • Worked within a policy-driven environment where data quality directly influenced government decision-making at scale.
  • → Processed and cleaned 50,000+ records across multiple datasets, identifying inconsistencies that were affecting downstream reporting accuracy.
  • → Automated manual reporting workflows, reducing processing time and improving data accuracy by ~30% — enabling faster, more reliable insights for operational teams.
  • → Built structured reporting systems to support decision-making across departments, translating raw data into formats that non-technical stakeholders could act on immediately.
  • → Gained deep exposure to how large institutions use data to shape policy — and where the gaps between data collection and actual decisions still exist.
Microsoft ExcelMicrosoft PowerPointData AnalysisBusiness Analysis

Self employed

Freelance Data & ML Consultant

Dec 2023Present · 2 yrs 6 mos · Bengaluru · Remote

  • Independently consulted for 10+ businesses across industries — analyzing operations, diagnosing inefficiencies, and delivering data-backed recommendations end to end, without a team or a template.
  • → Conducted deep-dive business analysis across domains including e-commerce, content, finance, and operations — processing datasets ranging from thousands to 1,00,000+ records per engagement.
  • → Built ML-driven solutions including expense analyzers, Q&A intelligence systems, and behavioral pattern models — translating business problems into working analytical outputs with measurable clarity.
  • → Delivered 15+ structured reports, dashboards, and insight decks that gave non-technical founders and operators a clear picture of what their data was actually telling them.
  • → Managed complete project cycles independently — from business understanding and data collection to model building, insight generation, and final delivery — across both short-sprint (1 week) and deep-engagement (1 month+) formats.
  • → Repeat engagements across multiple clients — a signal that the work didn't just look good on paper, it held up when applied.
Machine LearningPython (Programming Language)Data Analysis

Education

JSS Academy Of Technical Education Karnataka

B.Tech – Information Science and Engineering

Nov 2022Jun 2026

J.D. Women's College

12th Grade – PCM (Physics

Apr 2020Feb 2022

St. Xavier's High School - India

Middle School Diploma

Apr 2014Mar 2020

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