Data Analyst

ANKIT PATIL

New York, NY ***** ***********@*****.*** 201-***-****

linkedin.com/in/ankitmpatil github.com/ankitmpatil

EDUCATION

Pace University, Seidenberg School of Computer Science and Information Systems, New York, NY May 20

Master of Science (MS) in Information Systems I GPA: 3.9

Courses: Intro to Data Science, Data Mining and Visualization, Business Analytics for Decision Making, Big Data in IS.

University of Mumbai, Mumbai, India Jun 15

Bachelor of Engineering (BE) in Electronics and Telecommunication GPA: 4.0

TECHNICAL SKILLS

Programming Languages : Python, R, SQL, HTML, PHP, CSS

Productivity Tools : Tableau, MS Power BI, Google Analytics, MS Excel, Jupyter Notebook, R Studio, AWS,

Rapid Miner, JASP, IBM SPSS Statistics, MS Visio, Apache Spark (Hadoop, Pig, Hive)

Machine Learning Methods : Linear / Logistic Regression, Neural Network, Decision Tree, K Means Clustering, KNN

Databases : Microsoft SQL Server, MS SQL, PostgreSQL, Oracle, MS Access

Certifications : Udemy - Tableau For Data Science, Complete Data Science Bootcamp

WORK EXPERIENCE

CyberPassport - Project funded through DoD CySP - New York, NY Feb 20 – present

Data Engineer

•Managing large & complex data and analytical projects: data transformation, exploration, performance evaluation & testing. Moved existing ETL jobs from traditional data warehouse processing to AWS server instances.

•Managing and communicating data warehouse plans with engineers, product managers and product analysts.

Lubin School of Business, Pace University Oct 19 – present

Data Science Researcher

•Coordinated with data science and data analytics team to build methodologies and data visualization dashboards to make outputs more insightful and automated with the help of web scraping in Python.

•Formulated data to help business understand current member behaviors and barriers, developing machine learning models to best target members across segments, and to drive behavior change.

TP-Link India PVT. LTD., Mumbai, India May 16 – Nov 18

Business Data Analyst

•Analyzed quantified large data sets by creating various reports in MS Excel and developing pivot tables, found gaps also created easy to understand key business insights and findings of the analysis for product managers.

•Reframed Deep Analytics in Python and Tableau enhancement of predictive Models for client retention.

ACADEMIC PROJECTS

Tweet Sentiment Forecasting, Pace University Dec 19 – Feb 20

•Addressed the likelihood of a negative sentiment with talented machine learning scientists, statisticians, and forecasting team using Python for actionable insights, accurate predictions, and effective optimization.

•Programmed several forecasting and machine learning models (Random Forest, Decision Tree, Logistic Regression) by encoding text words using CountVectorizer & TfidfVectorizer, and achieved 90% F1 score.

Cybersecurity monitoring of real-time transactions - Data Leak Detection Feb 19 – May 19

•Collaborated with analytics, and engineering teams to investigate the problem of false alarms to verify the alerts and determine the most common causes of genuine alarms to minimize data leak.

•Trained, tested and validated the data analyze trends/patterns in the dataset by applying prediction modeling with Logistic Regression, K Means Clustering, KNN, and Recurrent neural network (RNN) with more than 95% accuracy.

INDEPENDENT PROJECTS VOLUNTEERING WORKSHOPS ACTIVITIES

•Virtual Internships : Data at ANZ, KPMG Data Analytics, JPMorgan Chase Software Engineering

•Pace University : Lubin Analytics Boot Camp, INFORMS : Kaggle Competition, Eboard Student Assistant

•Coursera : Machine Learning by Stanford University by Andrew Ng

•Workshops : AWS ML Workshop (AWS Loft)

•Volunteering : Techcrunch Disrupt 2019 (San Francisco), The Entrepreneurship Lab

Contact this candidate