Hadoop Shah

sneja@resume:~$ whoami

Sneja Shah

Milpitas, CA *5035 • 650-***-**** • ********@****.***.*** • github.com/snejashah30 • linkedin.com/in/snejashah EDUCATION

Illinois Institute of Technology, Chicago Chicago, IL Masters in Information Technology & Management, M.S Jan 2019 –Dec 2020

• Cumulative GPA: 3.80/4.00

• GRE: 312; GMAT: 670

SKILLS & INTERESTS

• Languages/ Technologies: Proficient in Python, MySQL, Tableau, Hadoop, R, Microsoft Power BI; familiar with Machine Learning, Statistical Modeling, Data Analysis, Matplotlib, TensorFlow, Pytorch ; previously used Snowflake, SAP HANA, ETL, MongoDB, PostgreSQL ; Experienced with Git, AWS, NumPy, Predictive Modeling, Cluster Analysis, and NLP

• Volunteering: SOAR for Youth (tutoring a foster child for SATs), Teaching Assistant (Ahmedabad women’s Action Group)

• Soft-Skills: Excellent Communication Skills, demonstrated Leadership, Problem-solver, sound work ethics WORK EXPERIENCE

Kodukula & Associates Chicago, IL

Research Analyst Aug 2020 – Dec 2020

• Improved project valuation accuracy from 76% to 94% by identifying cause, correlation and failure/success parameters using high-performant Risk Software

• Visualized, developed and improved quantitative models using essential data to generate actionable insights, essentially increasing revenue by over 1.5x

• Structured, cleaned, and performed basic analysis on GBs of data for dozens of critical paths, quantitative tools, and real options methodologies using Hadoop, SQL, and Python Illinois Institute of Technology, Chicago Chicago, IL Data Analyst July 2019 – Dec 2020

• Built a bot to convert university’s student job hiring assessment report into Tableau dashboards for over 30 departments. This was anticipated as a game-changer for the university’s career services due to the reduction in latency by up to 21%

• Expedited common tasks by over 30x collaborating with prospective hiring companies high frequency data set and optimized management of strategic sourcing process for a series of Career Fairs throughout the university

• Automated resume management tool using Data Pipelines and ETL to increase resume processing speeds by over 2x Matics Solution, Ltd. Ahmedabad, India

Data Analyst Aug 2015 – Dec 2018

• Created and optimized highly accurate and loosely coupled data models in python to revamp finance operations resulting in appreciation of net operating profits by 15%

• Wrote a targeted machine learning algorithm using predictive analysis on the company product sales data set to forecast with over 95% accuracy

• Improved performance KPIs and sales productivity using state of the art data intelligence tools such as Alteryx SELECTED INDEPENDENT PROJECTS

Movie Recommendation System (Hadoop Hive Machine-Learning)

• Designed a high accuracy recommendation system on IMDb data set based on user-ratings and precision which mirrored real-time Recommendation-As-A-Service (SaaS). Derived insights by ingesting, transforming, profiling and summarizing data Credit Card Fraud Detection (Statistical Methods)

• Performed a wide variety of statistical (A/B Testing) analysis, implemented high performance classification models(Machine-Learning Algorithms), and utilized data mining random forest method for detecting fraudulent activities Google Play Store Prediction (Python)

• Produced different classification models (KNN, Naïve Bayes, logistical regression) with high accuracy, predicting top tier genre of downloaded applications based on user ratings and count using MAE/AIC metrics and holdout evaluation Data Pipeline (PL/SQL)

• Implemented programmable logic SQL code for ETL processes establishing consistent, well-managed, and well-integrated data warehouse infrastructure

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