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Shivam Bajaj

@shivambajaj

DataScience Consultant

Gurugram, Haryana

https://github.com/sbajaj0972

AccentureGuru Nanak Dev University

Shivam is a results-focused data scientist skilled in combining disparate datasets and building production-level models. He has technical experience in Data Analysis, Machine Learning, and Predictive Modelling. His expertise includes utilizing advanced techniques to solve real-time business problems.

Experience

Application Development Team Lead

Accenture

•Aug 2019 - Present•Gurugram/Client: Macquaire Bank

Credit Card Spend Predictive Modelling: Objective was to predict credit limit for new applicants. Responsibilities included coordinating with stakeholders, data gathering, cleansing, and transformation, visualizing data using Tableau. Implemented ML models (logistic regression, CART, Random Forest) and developed UI/APIs using Flask. Deployed model using AWS Sagemaker. Also worked on Term Deposit Product Sales Prediction and Fraud Detection, involving model validation, feature engineering, and deployment on Heroku.

Senior Software Engineer

Sopra Banking Software

•Jun 2018 - Jul 2019•Noida/Client: RBS

Worked closely with business analysts, development teams, and infrastructure specialists to deliver high availability solutions for mission-critical applications. Developed Change Requests and worked on writing test cases and deployment of applications on Openshift.

Senior Software Engineer

Capgemini India Pvt Ltd

•Jul 2015 - May 2018•Mumbai/Client: Daimler

Worked on ICON deals (after sales service contracts of Mercedes-Benz cars). Responsibilities included development of Change Requests, integration of different sub modules, and reengineering of various processes and sub processes.

Education

Guru Nanak Dev University

Bachelor of Technology

Electronics And Communication Engineering

Aug 2011 - May 2015

Skills

Python
Flask
Java
Springboot
Hibernate
Restful Web Services
Shell Scripting
MSSQL
MongoDB
Hypothesis Testing
ANOVA
Probability
Sampling Methods
Descriptive statistics
Inferential Statistics
Tableau
Power BI
Matplotlib
Decision Tree
Random Forest
Clustering Techniques
SVM
Bayes Classification
Linear Regression
Logistic Regression
K Nearest Neighbour
XgBoost
Amazon Web Services
OpenShift
GCP
Heroku
IBM BPM
SQL Server
Jupyter
Eclipse
VS Code