Nidhi Singh

Operations Associate

Toronto, Ontario, Canada0 mo experience

Key Highlights

Engineered predictive models increasing sales conversion by 15%.
Designed automated reporting systems reducing report generation time by 35%.
Created 15+ interactive dashboards for real-time decision making.

Stackforce AI infers this person is a Data Analyst with expertise in Business Intelligence and Data Visualization.

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Skills

Core Skills

Data AnalysisBusiness AnalysisData Visualization

Other Skills

PythonSQLPower BIAnalytical SkillsStatistical AnalysisPython (Programming Language)Machine LearningTableauReport WritingStakeholder EngagementInterpreting DataStrategic ThinkingData-Driven InsightsMicrosoft Power BICritical Thinking

About

👋 Hello! I'm a Business Analyst and Data Project Coordinator passionate about transforming complex data into actionable insights. 🎓 My academic journey at the University of Windsor's Odette School of Business has fortified my analytical expertise, reflected in my impressive 8.5/10 GPA in Management (Business Data Analytics). 🧰 My technical toolkit includes: 📈 Data Analysis & Visualization (Python, R, Tableau, Power BI) 🔍 Database Management (SQL, MySQL, Data Warehousing) 📊 Business Intelligence Tools (Excel, SAP, Google Analytics) I've applied these skills in real-world projects, including developing ETL pipelines that processed 250GB of daily transaction data and creating 15+ interactive dashboards for stakeholder decision-making. My work has contributed to a 15% increase in sales conversion and 30% improvement in customer response rates. 💡 My recent certifications in Data Analytics from Google and Python Data Analysis from LinkedIn demonstrate my commitment to continuous learning. I've also completed the Power BI Job Simulation with PWC, keeping me at the forefront of industry tools and trends. Let's connect: [nidhisgahlawat586@gmail.com] 🚀 Fun fact: I can skip 215 times in just one minute! 🏋️‍♀️💪

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Doane grant thornton llp

Associate (Independence and Ethics Team)

Jun 2025 – Present · 11 mos · Toronto, Ontario, Canada · On-site

University of windsor

Data Project Coordinator

Oct 2024 – Dec 2024 · 2 mos · Windsor, Ontario, Canada · On-site

Analyzed 5 years of institutional data using SQL and Python to identify equity trends across 42 departments, generating 37 data-driven strategic reports.
Built predictive models using statistical analysis to forecast student engagement patterns, improving program participation by 25%.
Designed an automated reporting system using Power BI to track 12 KPIs across departments, reducing report generation time by 35%.
Conducted statistical analysis of demographic data for 10+ stakeholders, identifying key factors driving diversity initiatives.

Data AnalysisAnalytical Skills

Helioustin

Business Analyst

Sep 2024 – Mar 2025 · 6 mos · Remote

Engineered predictive models using Python and SQL to analyze 1.3 million customer data points, identifying purchase patterns that increased sales conversion by 15%.
Created 15+ interactive Power BI dashboards analyzing customer segmentation and sales trends, enabling real-time decision making for 9 stakeholders.

Data AnalysisBusiness Analysis

Cuddles learning

Business Development Specialist

Aug 2024 – Nov 2024 · 3 mos · Markham, Ontario, Canada · Remote

Conducted market research that revealed key customer needs and trends, leading to the development of 3 new programs that boosted customer retention by 18%.
Executed a successful go-to-market strategy and engaged effectively with stakeholders for a new product line, resulting in a 20% increase in sales within the first quarter of launch.
Built and implemented a time management strategy that optimized team productivity, reducing project completion time by 20%.

Innovatiview

Data Analytics Intern

Aug 2022 – Jul 2023 · 11 mos · Uttar Pradesh, India · Hybrid

Developed data pipeline using Python and SQL to process 50 GB of daily customer data, achieving 25% improvement in data accuracy.
Created machine learning models to predict customer churn, contributing to 15% improvement in retention rates.
Automated reporting workflows using Python scripts, reducing manual reporting time by 45% while maintaining 99% accuracy.
Built interactive visualization dashboards analyzing 15+ customer metrics, enabling data-driven decision making for 5 key stakeholders.

SQLPython (Programming Language)Data Analysis