AVAILABLE FOR OPPORTUNITIES

Nirrmit
R. Tickoo

I operate at the intersection of "data, AI, and intelligent systems", using Python and analytical thinking to turn complex information into clear, actionable outcomes. As an experienced "AI/LLM Analyst", I work with AI-generated outputs to evaluate quality, uncover patterns and inconsistencies, and help make intelligent systems more accurate and reliable. With a foundation in "NLP, data analytics, and AI-driven problem solving", I’m driven by the challenge of turning complex problems into "simple, scalable solutions that create real-world impact". Looking to turn data, AI, and LLMs into intelligent solutions that solve real-world problems and create measurable impact. Driven by curiosity, analytical thinking, and a builder’s mindset to simplify complexity and make AI more useful.

nirrmit.rtickoo@gmail.com GitHub LinkedIn +91 96955 85566

Nirrmit R. Tickoo

AI/ML Data Analyst

Core Competencies

Technical Arsenal

A precision-built stack spanning data engineering, statistical modeling, and business intelligence.

Proficiency Radar

Python · SQL · Pandas/NumPy · Data Cleaning · Modeling · Visualization

Skill Proficiency

Self-assessed competency across core technical areas

Python (Pandas, NumPy, Scikit-learn)92%

SQL & MySQL85%

Data Cleaning & EDA94%

Statistical Modeling82%

Power BI Dashboards80%

Machine Learning78%

Analytics Focus Areas

Proficiency distribution across key analytical methodologies

AI/LLM Data Annotation & QA

Skills developed reviewing and evaluating AI training data

Annotation: Text, Image & Video Labeling • Object Detection • Semantic Segmentation • Object Tracking

Quality: Rubric-Based QA • High-Volume/High-Accuracy Labeling • Error Identification & Correction

Python

SQL

Power BI

Excel

Data Cleaning

Git

Jupyter

EDA

Pipelines

Pandas

NumPy

Work History

Professional Experience

Building real-world analytics expertise across freelance and leadership roles.

AI/LLM Analyst

Innodata · Remote

May 2026 – Present Freelance

Reviewed and annotated written content, images, videos, and digital documents with precision, applying detailed task rubrics and quality guidelines to produce high-accuracy AI training datasets.
Applied strong English reading comprehension and analytical judgment to identify inconsistencies, errors, and edge cases across large volumes of text and multimodal content, maintaining quality at scale.
Demonstrated integrity and reliability handling sensitive data tasks, ensuring outputs are accurate, consistent, and fully aligned with client specifications.
Contributed to client-facing AI/LLM annotation and evaluation tasks on a production platform, achieving a 4.25/5 quality score.

AI Data Analyst Freelancer

Lord Shiva International · Kanpur, India

Dec 2025 – Apr 2026 Freelance

Applied statistical and regression models in Python to identify relationships between business variables and generate actionable insights.
Performed end-to-end data cleaning, preprocessing, and exploratory analysis using Pandas and NumPy across diverse project datasets.
Developed complex SQL queries using joins, subqueries, window functions, and aggregations to extract insights and support data-driven analysis.

Club Co-Founder & Operations Lead

D.Y. Patil University · Pune, India

Sep 2023 – Apr 2024 Leadership

Co-founded university club from scratch, defined roles, streamlined operations, and established core processes.
Recruited 35 active members within the first semester through targeted outreach and engagement strategies.
Fostered a collaborative environment by coordinating members, events, and cross-team communication workflows.

Featured Work

Projects

Data analysis, machine learning, and AI engineering projects built with precision.

⭐ Featured Live Demo

Automated KPI Extraction & Analytics Dashboard

End-to-End Data Pipeline · BI Dashboard

AI-powered pipeline that ingests raw business documents, extracts structured KPIs via Pydantic-validated regex schemas, persists data idempotently to SQLite, and renders interactive Plotly dashboards in Streamlit. Features MoM analytics, cross-filtering, and zero external API dependencies.

⭐ Featured

⭐ Automation

Automated Reporting Pipeline

End-to-End Automation

Automated reporting pipeline that streamlines data extraction, transformation, and report generation workflows. Reduces manual effort through scripted automation, delivering consistent, scheduled insights with minimal human intervention.

⭐ Featured

Retail Analytics Platform

Full-Stack Analytics Dashboard

End-to-end retail analytics system with Python data pipeline, SQL backend, and interactive Power BI dashboards. Tracks sales KPIs, inventory turnover, and customer segmentation with automated reporting workflows.

AI Resume Analyzer + EDA

NLP & Exploratory Analysis

Intelligent resume parsing system using NLP to extract skills, experience, and keywords. Includes comprehensive EDA of job market data with trend analysis and compatibility scoring algorithms.

Hot

Crime Data EDA- India

Geospatial Analysis

Deep dive into India crime statistics using spatial analysis, temporal trends, and trigger mapping. Reveals patterns across regions with correlation matrices, outlier detection, and dynamic visualizations.

Hospital Mortality Prediction

Classification Pipeline

Applied Logistic Regression and tree-based models for hospital mortality prediction. Built a full data analysis pipeline using Excel, MySQL, and Power BI to clean healthcare data and analyze patient outcome factors.

Credentials

Certifications

Verified credentials across data analytics, machine learning, and business intelligence.

Business Analytics Specialization

University of Pennsylvania: Wharton

A rigorous 5-course specialization from Wharton covering customer analytics, operations analytics, people analytics, and accounting analytics. Developed skills to translate complex data into actionable business decisions using statistical models.

Customer AnalyticsOperationsPeople AnalyticsRegression

CERT 01 / 05 Verified

Operations Analysis

Wharton / Coursera

Deep-dive into three analytical pillars: customer behaviour modelling, workforce analytics, and financial metrics. Learned to identify operational bottlenecks, measure employee performance, and interpret accounting data for strategic improvements.

Customer ModellingWorkforce AnalyticsFinancial Metrics

CERT 02 / 05 Verified

Power BI Dashboards

Microsoft / Udemy

Hands-on certification in building AI-powered interactive dashboards. Covered DAX formulas, data modelling, drill-through reports, and AI visuals including Key Influencers and Smart Narratives. Built end-to-end reporting solutions with live data sources.

DAXData ModellingAI VisualsReporting

CERT 03 / 05 Verified

Data Science & Machine Learning

Coursera / IBM

Comprehensive program spanning the full data science pipeline: EDA, feature engineering, supervised and unsupervised ML models. Also covered Generative AI fundamentals including transformer architectures and prompt engineering.

Supervised MLFeature EngineeringGenerative AINeural Networks

CERT 04 / 05 Verified

OOP in Python

Coursera / Duke University

Mastered OOP principles in Python: classes, inheritance, polymorphism, encapsulation, and abstraction. Applied concepts to design reusable, modular code structures for scalable data pipelines and analytics tools.

Classes & ObjectsInheritancePolymorphismDesign Patterns

CERT 05 / 05 Verified

Academic Background

Education

Solid academic foundation in Computer Science with specialization in data & analytics.

B.Tech · Computer Science

Bachelor of Technology
in Computer Science

D.Y. Patil University, Pune, India

Graduation: 2025

High School

Senior Secondary Education

G.D. Goenka Public School

Kanpur, Uttar Pradesh, India

Focus Areas