Why Me?

Strong Technical Foundation

Analytical Powerhouse

Quick Learner & Passionate

Business Acumen

Team Player

About Me

My academic journey has equipped me with a robust understanding of computer science fundamentals and data analysis techniques. During my time as a Test Engineering Analyst at Accenture, my analytical mind thrived. However, I yearned to delve deeper and uncover hidden insights within data.

This curiosity led me to pursue a Master's in Business Analytics. My academic excellence was recognized as I was nominated as one of the most outstanding business students and invited to join Beta Gamma Sigma (BGS). This experience further solidified my desire to leverage data for impactful decisions.

Equipping myself with Python, SQL, and a passion for impactful decisions, I'm eager to transition my analytical skills and problem-solving abilities to the data science domain. I'm confident that my computer science background, combined with my business acumen, will allow me to learn quickly and contribute meaningfully to data-driven solutions.

Resume

Seasoned consultant with a strong passion for data science. Recognized for leveraging analytical acumen to inform strategic business decisions. Eager to apply these skills and contribute to your team’s success.

Experience

2023-2024

Business Intelligence Consultant

Janus Henderson Investors

As a part of my capstone, I collaborated with JHI, a finance company, to enhance their client tiering model.

Leveraged tools like Python, Excel, and Alteryx to perform data analysis, revealing patterns and trends in the client tiering data.
Utilized machine learning techniques such as logistic regression to identify key variables influencing High-Value Prospects (HVPs), achieving a model performance accuracy of 92%.
Developed an interactive Tableau dashboard , enabling stakeholders to identify highchange areas and make data-driven decisions.

2015-2020

Data Quality Analyst

Accenture

Worked as a consultant for five years at Accenture, specializing in improvising financial products.

Developed automated testing scripts using SQL and Python to validate data accuracy and integrity, reducing manual testing efforts by 35%.
Collaborated with cross-functional teams to identify data discrepancies and implement corrective measures, reducing developer troubleshooting time by 1 hour daily
Utilized analytical tools such as Power BI and Excel to create dashboards for monitoring test results, improving stakeholder comprehension of business insights.

Education

2022-2024

Master of Science in Business Analytics

University of Denver

GPA: 3.97/4.00

2012-2015

Master in Computer Applications

University of Mumbai

GPA: 3.73/4.00

2009-2012

Bachelor of Science in Computer Science

University of Mumbai

GPA: 3.15/4.00

Projects

I'm thrilled to showcase a selection of projects I've undertaken, both during my academic pursuits and beyond.

Television Data Analysis Using Python

Leveraged Python's popular data analysis libraries, Pandas and NumPy, to analyse the Friends TV show dataset from Kaggle. Employed Matplotlib and Seaborn data visualization libraries to generate insightful graphs.

Predicting Customer Purchase Behavior Using R

Leveraged R's powerful machine learning libraries such as tidymodels and Tree to predict customer purchase behavior. Compiled all analyses into an interactive dashboard for seamless data consumption.

Book Buzz: Python & NLP for Bestseller Insights

Collaborated in a team to analyze Amazon's bestselling books (2009-2019) using NLP techniques (NLTK) to uncover dominant themes and genres, along with positive and negative sentiment trends in book titles.

Analyzing the Stories in Song Data Using R

In this project, I delved into the world of song lyrics using R, employing Tidy verse to tidy up the data and prep it for analysis. I roped in topic modeling to figure out the main themes running through the lyrics. Did sentiment analysis and brought in a network diagram to tell a story.

Unveiling the Secrets of Flight Ticket Pricing

In this project we delve into the fascinating world of domestic flight ticket pricing in India. Utilizing the Data Analysis Toolpak in Excel, we employed regression modeling techniques to uncover the key factors influencing airfare.

More projects on Github

GitHub

Contact Me

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I'm Jane Joseph