Accenture
Data Analyst & Team Leader (IT Analyst), specializing in SAS, reporting, and analytics.
Data Analyst turned Data Science student, with industry experience in SAS and analytics, and a passion for modern machine learning and AI.
Fun fact -> I don’t have a surname:- Yes it's just Swati!
I worked as a Data Analyst + Team Leader at Accenture (2016–2022) and TCS (2023), specializing in SAS and business analytics. In 2024, I began my Master’s in Data Science at Victoria University of Wellington, focusing on statistics, machine learning, NLP, and visualization.
My recent projects include a cricket analytics R Shiny app, a smart invoice extractor (OCR + NLP), a Reddit sentiment analysis pipeline (NLP + Airflow), and smartcurvefit, an R package for robust nonlinear curve fitting with Rcpp.
My journey into data started with curiosity - I enjoyed spotting patterns in reports, then slowly realized I loved uncovering the "stories hidden in numbers". What began as routine dashboards turned into excitement for predictive modeling, automating workflows, and designing tools that make data come alive. Over time, I discovered that data isn’t just numbers - it’s a language that, when decoded, can explain behaviors, guide decisions, and even inspire creativity. That’s what keeps me hooked: the thrill of turning raw information into insights that actually matter.
Data Analyst & Team Leader (IT Analyst), specializing in SAS, reporting, and analytics.
Senior IT Analyst in analytics projects, with focus on SAS and client reporting.
Victoria University of Wellington. Built a cricket analytics R Shiny app.
Invoice Extractor (OCR + NLP), Reddit Sentiment Pipeline, smartcurvefit R package.
Here are the tools and technologies I work with:
Machine learning, NLP, computer vision
90%Statistical modeling, robust regression
85%Data wrangling and analysis
75%Power BI, ggplot2, matplotlib
80%Data analysis, reporting, business insights
85%