Data Science Advanced Analytics Internship
Best Egg is the leading financial confidence platform that provides flexible solutions to real-life challenges for people with limited savings. We leverage real-time customer insights and data science to connect more people with the right products for their financial needs. Our offers include a growing suite of products such as personal loans, a credit card, and flexible rent, which are complemented by a suite of financial health tools to help customers make smart financial decisions and stay on track, so they can be money confident no matter what life throws at them.

 

Our culture and values inspire our employees and customers to embrace Best Egg. We are committed to championing a culture of inclusiveness and diversity of thought, and we focus on providing a safe, flexible, and collaborative work environment. Our employees are encouraged to engage in creative problem solving, and we promote opportunities for growth and enrichment across the organization.

 

If you are inspired by inspiring others, Best Egg is the place for you.



Best Egg promotes diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we will grow.



Best Egg is seeking a Data Science Co-op who is eager to contribute to loan application analytics help identity friction in the application funnel and improve conversion rate. You can expect to enjoy a culture embracing the concepts of continuous delivery, total quality management, knowledge sharing, personal and career advancement, empowerment, innovation, and collective ownership.   



This role will report to the Data & Science Advanced Analytics Department



Duties & Responsibilities
Improve funnel conversion by partnering with Marketing, Credit/Fraud on better designing application and verification process leveraging test and learn data.
Assist in developing and maintaining reporting and monitoring around funnel performance metrics leveraging SQL, excel or reporting tools such as PowerBI
Automate reporting utilizing Python and MetaFlow
Conduct A/B experimental testing impact analysis and make business recommendations.
Perform analysis, summarize findings, and present results to internal clients. 


Ideal fit for this role:
Bachelor’s Degree in Statistics, Mathematics, Operational Research, Engineering, Data Science or other quantitative major required
A graduate student is required.
Strong analytical and critical thinking skills
Intermediate to advanced experience with MS Excel and SQL server.
Experience with one or more large data mining and analytical tools: Python, R, or SAS is preferred
Experience with BI and digital reporting tools such as Power BI, and Adobe Analytics is preferred.
Ability to work effectively independently and as a team member.
Excellent English written and verbal communication skills.


$20 - $24 an hour


Our Brand:

At Best Egg, we believe money should be accessible so people can reach their goals, live a fuller life, and feel pride in knowing they have taken control of their finances.  For those who need extra money to achieve the progress they seek in life, Best Egg is the modern solution-minded finance provider that mixes decades of banking experience with smart technology and deep customer insight to create products designed for today’s borrower, so that people can establish a smoother financial path. The egg symbolizes protection and a fresh start.  

 USING MY RESUME MAKE THE BEST POSSIBLE COVER LETTER:Rahul Kotian
linkedin.com/in/rahulkotian26 | rahulkotian26@gmail.com | rahulkotian98.github.io/portfolio1 | 680.216.3807 Education
 Syracuse University School of Information Studies
MS in Information System
Mumbai University
BEng in Computer Engineering
May 2023
GPA: 3.67/4.0
October 2020
GPA: 3.3/4.0
Courses: Introduction to Data Science, Project Management, Information System Analysis, Cloud Management, Strategic Management, Enterprise Risk Management, Lean Six Sigma, Big Data and Analytics, Artificial Intelligence & Machine Learning, Applied Mathematics, Data Warehousing and Mining, Database Management Systems
Skills
Data Science: Machine Learning, Predictive Modeling, Data Mining, Topic Modelling, Sentiment Analysis, Supervised/ Unsupervised Learning, and Libraries (NumPy, Pandas, Scikit-learn, PySpark, Tensorflow, NLTK, Matplotlib, Plotly) Technologies: SQL, Python, R, Kaizen, Selenium, Bloomberg, Jira, ANOVA, Matlab, Git/GitHub
Business Analytics: Excel, Microsoft Power BI, Tableau, SSAS, Report Designer BI, Alteryx, SAS
Experience
Data Analyst | Dynamic Sustainability Lab July 2022 - May 2023
• Conducted comprehensive analysis on more than 150 energy measurement points within a $2.11 billion enterprise utilizing Power BI, Report Designer BI, and EnergyCAP.
• Initiated the creation of an advanced Power BI dashboard, integrating diverse data sources, conducting Data Mining and Data Wrangling, crafting custom visualizations, and providing ongoing updates to senior leadership.
• Orchestrated the implementation of an innovative energy resource tracking system leveraging Power BI and SQL Server Analysis Services (SSAS), with a projected 15% reduction in energy usage.
Projects
Healthcare Data Analysis | Introduction to Data Science December 2022
• Spearheaded a team of 5 to conduct Exploratory Data Analysis (EDA) and streamline data using R, unveiling critical drivers of escalating healthcare expenses.
• Implemented a robust machine learning model integrating Linear, K-Support Vector Machines (KSVM), and RTree models, achieving an accuracy of 75% and sensitivity of 80% in projecting high-cost patients for the upcoming year.
• Employed R to craft insightful visualizations including maps, box plots, histograms, bar charts, and pie charts, culminating in identification of four actionable insights aimed at curbing individual healthcare expenditures.
Next Word Prediction | Natural Language Processing August 2019
• Advised the development and implementation of cutting-edge NLP strategies, resulting in a 25% increase in accuracy for next-word prediction tasks.
• Directed the management and processing of extensive datasets, comprising over 23,000 unique words, showcasing expertise in handling large-scale data, leading to a 30% improvement in model robustness.
• Developed a streamlined LSTM model with 128 neurons, achieving a remarkable 95% accuracy rate in language prediction, surpassing industry standards by 20%.
UX Research November 2019
• Influenced product development at Google Generative AI, Meta, Universal Music Group, Spotify, Google Maps, Google Pay, YouTube, YouTube Shorts, Suntory, and TransPerfect through UX research initiatives.
• Shaped over 10 prototypes with key insights, impacting product design and innovation.
• Recommended 50+ video conferences to drive data-driven improvements for 15+ products; identified customer pain
points through analytics, boosting customer satisfaction by 25% and retention rates by 20%.
Spoken Language Understanding using Pretraining Technique | SSRN Research Publication October 2020
• Achieved a 15% performance enhancement for the SLU model by conducting intricate dataset analysis, refining preprocessing techniques, and optimizing feature selection for NLP tasks.
• Resolved data-related challenges to bolster model robustness, resulting in a 20% increase in implementation accuracy and ensuring the delivery of reliable insights.
• Engineered a streamlined speech recognition model that achieved an exceptional accuracy rate of 95% using pre-trained machine learning. Managed a dataset comprising 248 distinct phrases across 31 intents totaling 10 GB in size.