A dynamic professional with over 3+years experience in having a keen eye for detail to execute business-driven strategies by reinforcing the power of data. Enthusiastically inclined towards presenting, communicating and interpreting data to develop innovative solutions to complex problems. Strong team player with a track record of using my research-oriented, analytical and quick learning skills to overcome challenges at work and making critical decisions by forecasting and visualizations.
I can champion a process from start to end by handling Client's requirements, project analysis for feasibility and setting time frame, documenting the process for development, developing Proof of Concept to implementing Real-time projects, creating Test cases for UAT and thoroughly testing the code on Staging and deploying the code on production environment and monitoring it end to end to ensure smooth functioning and Client's satisfaction.
Apart from professional expertise my other interest includes photography, music, cooking, and I enjoying letting myself loose on dance floor.
Gaurav Handa
31 Saint Germain Street
Boston, MA, US - 02115
handa.g@northeastern.edu
Masters of Science - Data Analytics • Sept 2019 to Present
Bachelor of Engineering - Computer Science• May 2015
Business Operations Analyst• Sept 2017 - Sept 2018
Associate• July 2015 - March 2017
Project Trainee• Aug 2014 - March 2015
• Built an ER model with Lucid chart and relational model in Toad data modeler to generate DDL scripts & populated database in MySQL.
• Connected database to Tableau and Python and showed different trends in data through visualizations and implementation of joins, views, privileges, stored procedures and triggers that also satisfies 3NF to achieve business goals
• Implemented different data mining techniques on training, validation and test dataset to compare the results of proportion of predictive accuracy, error rates to determine which model fits better and to determine the probability of default with highest accuracy.• Used Confusion Matrix and Lift chart to compare the performance of each ML algorithms: K- Nearest Neighbor, Linear Discriminant Analysis, Naive Bayes, Support Vector Machine, Neural networks, Logistic regression, Classification Tree & Random Forest
R, Machine Learning• Explored data for cleaning and manipulation to generate hypothesis and to discover patterns with outliers and designed real-time dashboards in Tableau
Tableau• Designed and generated appropriate charts for the kind of relationship in data using RStudio.
R• Created interactive charts using Flourish & Data wrapper to embed in webpages for showcasing the insights that has been garnered.
Florish and DataWrapper