Data Analyst

ABHINAV DAHIBHATE

Boston, MA +1-857-***-**** *********.*@************.*** LinkedIn: https://www.linkedin.com/in/abhinavdahibhate/

EDUCATION QUALIFICATIONS:

Northeastern University, Boston, MA Dec 2020

Master’s in Informatics (Analytics) GPA: 3.7

University of Pune, India July 2016

Bachelor of Engineering in Computer Engineering

WORK EXPERIENCE:

Laz Parking, USA Sep 2019 – Mar 2020

Business Analyst intern

Perform business analysis on all aspects of the operation including individual, program, and general department performance, present data insights, make recommendations to senior management teams, clients, and Facility managers

Identify limitations or errors in reports and re-engineer the process to have the errors rectified

Generated interactive dashboards using Power BI by modeling SQL data by implementing multi-dimensional modeling (MDM)

Developed market segmentation dashboard to analyze the performance of the Parking lots provided for MTA Metro-North

Projected an increase to the cost-efficiency overall by 2% for Rowes Wharf Sea Grille by generating reports with recommendations

Ubisoft Entertainment, India May 2016 – July 2018

Test Engineer

Analyzed & generated reports using Tableau to provide insights to the Stakeholders to help make various decisions related to game design

Optimized games to improve user experience by developing meaningful KPIs and metrics for different games

Automated areas in-game (The Crew 2) using Open CV tools and Python which helped reduce testing time by 20%

Gained a deep understanding of user behavior through research which aids the game designers to make necessary changes for user satisfaction

Supervised the creation and planning of test cases and their executions and report the status of the build daily.

Conduct meetings with Producers, Product manager, Team Leads to convey and communicate the progress of task weekly

Work in a cross-functional environment to assist multiple departments in automating rudimentary tasks

TECHNICAL SKILLS:

Programming: Python, R, SQL, C, C++

Business Intelligence tools: MS Excel, PowerBI, Tableau, Jira, Talend, RStudio, Tableau, Anaconda, Looker

Cloud services: Amazon Web Services (AWS), Microsoft Azure, Apache Spark, Databricks, Big Data Hadoop, (Hive), Google Analytics

Database and tools: MySQL, MS SQL Server, Oracle SQL

ACADEMIC PROJECTS:

AWS Solutions Architect AWS Apr 2020 – June 2020

Developed a 3-tier web architecture for a medical startup company for adapting their infrastructure to cloud technologies

Configured services like Amazon EC2, Amazon S3, CloudFront, CloudWatch, Lambda and Amazon Redshift

Assigned IAM roles for System Administrators, Database Administrators and Monitoring activities to ensure secure access

Client loan default prediction Python Anaconda & Jupyter Notebook June 2019 – July 2019

Cleaned and performed Exploratory Data Analysis on the data using Python libraries Numpy and Pandas

Built 7 predictive models leveraging scikit-learn to predict whether a client will default on loan payments or not

Compared Training and validation result using AUC as performance metric and tuned hyperparameters to improve model prediction from 89% to 94% AUC

Business Case Study of UNICEF child mortality R & Tableau Apr 2019 – May 2019

Wrangled data using R to perform further exploratory analysis for 3 countries with a similar population density

Integrated Tableau and R using Rserve and processed that data within Tableau

Created dashboards in Tableau showcasing effective visualization, patterns and generated a report based on the findings

Sentimental Analysis of Twitter comments using Python Jupyter Notebook & Python Jan 2019 – Feb 2019

Cleaned and processed textual data using textblob library for analyzing the texts

Classified the positive and negative comments and converted to a numerical representation using Count Vectorizer

Predicted summary using deep learning algorithms like RNN with 90% accuracy rate

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