Nikhil Dahiya

AI Researcher

Canada3 mos experience

Key Highlights

Developed advanced data models for box office performance.
Conducted significant healthcare data analysis for respiratory health.
Engineered innovative image processing tools for forensic applications.

Stackforce AI infers this person is a Data Scientist with expertise in Healthcare and Entertainment analytics.

Contact

ndahiya@atb.com LinkedIn

Skills

Core Skills

Data ScienceData AnalysisHealthcare AnalyticsImage Processing

Other Skills

AnalyticsBusiness AnalysisBusiness ProcessBusiness Process AnalysisC++Critical ThinkingData AcquisitionData AnalyticsData GovernanceData ManagementData ModelingData ModelsData PipelinesData PreparationData Structures and Algorithms

About

Hi, I’m Nikhil 👋 a recent graduate from Simon Fraser University with a strong academic background and hands-on experience in data science and analytics. Throughout my studies, I didn’t just learn concepts in the classroom, I applied them in real projects. From building forecasting models for maritime labor demand (BCMEA project), to predicting Airbnb bookings, to analyzing box-office revenue trends, I’ve consistently challenged myself to turn data into meaningful insights. You can explore more of my work on my portfolio: nikhil-dahiya-portfolio.vercel.app At this stage in my career, I’m excited to step into the professional world to learn, grow, and contribute to a team where collaboration and curiosity are valued. I believe technical skills are powerful, but I also recognize that behavioral skills, such as teamwork, adaptability, and communication, are equally important. I take pride in being flexible, approachable, and easy to work with. I’m open to exploring different career paths where I can make an impact, learn from my teammates and mentors, and continue building innovative solutions.

Experience

3 mos

Total Experience

3 mos

Average Tenure

Current Experience

Beedie school of business at simon fraser university

Research Assistant

Sep 2024 – Dec 2024 · 3 mos · Burnaby, British Columbia, Canada · On-site

Supervisor: Jason Ho
Transformed and merged diverse datasets (movie ratings, advertising entries, and detailed box office data) using Python to build a comprehensive dataset for modeling box office performance.
Developed systematic methods to analyze advertising effectiveness by tracking weekly ad spending relative to movie release dates, revealing key insights into promotional strategies and their impact on revenue.

PythonData AnalysisData TransformationData Science

Centre for heart lung innovation (hli)

Data Analyst

Sep 2023 – Apr 2024 · 7 mos · Vancouver, British Columbia, Canada · On-site

Conducted extensive data analysis using SAS and STATA on the Canadian Obstructive Lung Disease (COLD) study with 5,176 participants from 9 urban sites, examining occupational exposures and respiratory health outcomes.
Developed logistic regression models revealing significant associations between long-term exposures to asbestos, chemical/plastic manufacturing, and welding with chronic respiratory symptoms such as cough, phlegm, wheeze, and dyspnea.
Performed meta-analysis across multiple study sites, generating forest plots to assess heterogeneity and consistency of results, contributing to the manuscript for publication.

SASSTATALogistic RegressionData AnalysisHealthcare Analytics

Simon fraser university

Research Assistant

May 2023 – Aug 2023 · 3 mos · Burnaby, British Columbia, Canada · Remote

Developed a program using Python and the OpenCV library to proficiently identify, visualize, and store words in documents, showcasing strong proficiency in both programming language and library.
Applied advanced OpenCV techniques for image processing and text recognition, enabling accurate word identification and extraction from documents, demonstrating expertise in implementing precise techniques for enhanced data extraction.

PythonOpenCVImage ProcessingData Science

Ey

AI/ML Intern

May 2022 – Aug 2022 · 3 mos · Gurugram, Haryana, India · Remote

Engineered an image processing tool using Python, OpenCV, and EasyOCR to automatically detect and mask sensitive identification numbers (e.g., passport numbers) in forensic investigations, significantly improving data privacy compliance.
Developed custom regular expressions combined with EasyOCR, achieving over 95% accuracy in text extraction from images; applied Gaussian blur techniques to ensure secure handling of confidential client data.
Built an interactive OpenCV-based interface allowing real-time image manipulation and seamless integration with machine learning models, reducing image processing time by 40% and enhancing operational efficiency for forensic teams.

PythonOpenCVEasyOCRData ScienceImage Processing

Sfu recreation

Recreation Sports Assistant

Jan 2022 – Apr 2022 · 3 mos · Burnaby, British Columbia, Canada · On-site

In my role as a Recreation Sports Assistant at SFU Recreation in Burnaby, British Columbia, I was responsible for ensuring the safe operation of programs and providing exceptional customer service. I organized and supervised Intramural leagues and drop-in sport programs, working with Student leaders to build a culture of engagement among the SFU community.