I thrive at the intersection of data science and business strategy, where technical innovation meets real-world impact. I love working in environments that bring together data scientists and business analysts, bridging the gap between raw data and strategic decision-making. I call myself a Business Scientist—someone who translates complex data into actionable insights that drive business success.
I am passionate about building scalable data solutions, optimizing workflows, and leveraging AI to solve meaningful problems. I constantly push myself to learn, experiment, and innovate, whether through personal projects, Kaggle competitions, or exploring new technologies on GitHub and Hugging Face.
English, Hindi, Punjabi
Power BI, Tableau
Python, SQL
Talend, MS SQL, Snowflake
NLP, Machine Learning, Deep Learning
AWS, Sagemaker, Git, Jira
Traveling, Photography, Teaching
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2024 - 2025
Working with the Insights and Analytics team on financial data in a fundraising organisation.
2024 - 2025
Worked as an Analyst with the business part of the data team in one of the largest data-sharing programs for aviation.
2021 - 2022
Provided data-based end-to-end IT solutions to industrial companies.
Research on early-stage Alzheimer's detection by utilizing original NIfTI files rather than traditional image files. We curated a unique dataset from raw MRI scans and applied advanced deep learning techniques to identify early biomarkers of Alzheimer's.
Analyzing transit delays for TTC (Toronto Transit Commission) buses using real-time data, including the current date, time, location, and selected route. This analysis incorporates visualization techniques, interactive dashboards, time series analysis, and forecasting models such as ARIMA and Prophet to identify trends and understand potential influencing factors like traffic conditions and rush hours. The project also includes a predictive model to forecast delays based on historical data and predict delays based on time, location, and route.
Classifies Wikipedia articles into 200+ categories with 88% accuracy using LSTM.
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Generative AI for resume analysis and ATS feedback.
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Analyzes survey data of data professionals using Power BI.
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