Sinjini Shah

908-***-**** adwg0w@r.postjobfree.com

https://github.com/sinni-shah http://www.linkedin.com/in/sinjinishah EDUCATION

Columbia University New York, NY

Master of Science, Business Analytics Expected Dec 2023

● Columbia Engineering: Optimization Models & Methods, Probability, Statistics & Simulation, Data Analytics

● Columbia Business School: Product Management, Operations Strategy, Business Analytics Parul University Gujarat, India

Bachelor of Technology, Computer Science and Engineering, GPA: 8.16/10.00 (Top 5%) Jun 2020 Numerical Analysis and Statistical Methods, Database Management System, Discrete Mathematics ITMO University (Full Scholarship) Saint Petersburg, Russia Exchange semester, GPA: 5.0/5.0 Jun 2020

WORK EXPERIENCE

Apple Inc. New York, NY

Data Scientist Jan 2023 - present

● Identified potential supply chain disruptions and predicted the allocation of resources to save $60M utilizing Pandas, Numpy libraries of Python

● Applied XGBoost model to detect unreliable suppliers that improved the accuracy of demand forecasting by 25%, reducing excess inventory levels and lowering supply chain costs by 15%

● Created Tableau dashboards to track supplier performance based on forecasts and commit volumes resulting in reduced decision-making time by 90%

Columbia University New York, NY

Graduate Teaching Assistant, Modern Data Structures Feb 2023 - present

● Taught students how to access and clean data, use Github to keep code version-controlled and in sync with others, create databases using SQL and store data on AWS

Tata Consultancy Services (Largest IT Services Company) Mumbai, India Technical Developer May 2021 - Aug 2022

● Spearheaded automation of B2B calendar, reducing time and date synchronization errors across different regions by 40% using Progress Software's OpenEdge Advanced Business Language

● Developed the frontend and backend of dashboard to buy and sell public company shares from 20 different geographical markets, contributing to $20M increase in revenue

● Led a team of 4 software developers to resolve discrepancies in transaction amounts that prevented overcharging or undercharging of customers, increasing gross-revenue by $10M

● Utilized caching to optimize the banking application’s database performance and decreased the database latency by 30%

Numerator Inc. Gujarat, India

Data Analyst Nov 2020 - Apr 2021

● Employed internal software (Maestro) to efficiently categorize over 200,000 purchase receipts that improved the organization of client data, making it easier to access and analyze

● Analyzed large datasets using SQL and Python to identify key insights and trends in consumer behavior, pricing, and promotion strategies

PROJECT EXPERIENCE

Columbia University New York, NY

Restaurant Recommendation System based on verified Yelp Reviews Aug 2022 - Dec 2022

● Performed Sentiment Analysis on Yelp restaurant reviews with VADER to capture the context of the reviews and predict the ratings of restaurants

● Used Random Forest to predict restaurant recommendations with 80% accuracy

● Improved accuracy by 5% with user-based collaborative filtering using past behavior and preferences SKILLS

Excel Python Tableau Progress 4GL SQL Pandas NumPy TensorFlow Java Matplotlib Seaborn keras Git Scikit-learn MongoDB R Linux Unix

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