AVAILABLE FOR OPPORTUNITIES

Nirrmit
R. Tickoo

I work at the intersection of data and practical AI, building Python-based solutions that turn raw information into actionable insights. My projects and experience focus on real-world applications of NLP and data analysis, including tools that improve candidate screening efficiency. I enjoy breaking down complex problems into simple, scalable systems and continuously learning by building. Currently seeking opportunities where I can contribute to data-driven decision-making and grow as a problem solver.

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

Nirrmit R. Tickoo

Data & Analytics Engineer

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

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.

Data Analytics Freelancer

Independent Consultant · Kanpur, India

Jun 2024 – Aug 2024 Freelance

Applied linear regression & statistical models in Python to uncover actionable business variable relationships for clients.
Performed end-to-end data cleaning, preprocessing, and EDA using Pandas & NumPy across multiple project datasets.
Wrote complex SQL queries, joins, subqueries, window functions, and aggregations, to extract insights from relational databases.

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

⭐ 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.

Data

Sales Trend Forecasting

Time-Series Regression

Comprehensive sales forecasting system using time-series regression and seasonal decomposition. Cleaned 50K+ records, engineered lag features, and built an end-to-end reporting pipeline connecting Excel to Power BI dashboards.

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

Cumulative GPA7.84 / 10

High School

Senior Secondary Education

G.D. Goenka Public School

Kanpur, Uttar Pradesh, India

Focus Areas