Summary
Overview
Work History
Education
Skills
Projects
Websites
Timeline
Generic
Abhishek Gautam

Abhishek Gautam

Bengaluru

Summary

Data Science Lead at Accenture with a strong background in data analysis and project management. Successfully led initiatives that enhanced data-driven decision-making and improved customer insights. Proficient in developing dashboards and managing teams to utilize big data analytics for significant business results.

Overview

12
12
years of professional experience

Work History

Data Science Lead

Accenture Solutions PVT LTD
Bangalore
05.2020 - Current
  • Managed team of Data Scientists and Visualization experts to meet project deadlines and quality benchmarks.
  • Conducted exploratory analysis on large datasets, identifying key trends for stakeholders.
  • Designed multiple dashboards in Power BI to support critical business decisions.
  • Migrated dashboards from Tableau and Qlik to Power BI for improved functionality.
  • Automated ETL pipeline tasks through development of custom scripts for efficient data ingestion.
  • Applied Natural Language Processing techniques to extract sentiment insights from customer feedback surveys.
  • Engineered automated workflows for data validation, cleansing, extraction, and transformation.
  • Reviewed emerging technologies for potential integration into organizational infrastructure.

Software Engineer – Machine Learning

Quacquarelli Symonds
Bengaluru
09.2018 - 03.2020
  • Developed customized searching algorithm to match students with optimal university programs based on academic performance and interests.
  • Engineered ELK infrastructure architecture and deployed it to AWS for enhanced data processing.
  • Migrated data from MySQL to Elasticsearch utilizing Logstash for improved search capabilities.
  • Analyzed lead likelihood using historical data to enhance conversion strategies.
  • Classified and predicted potential new leads' outcomes with associated probability metrics.
  • Conducted descriptive analysis in Tableau to visualize profile behaviors, optimizing business processes.
  • Utilized technical stack including Elasticsearch, MySQL, Python, Logstash, and AWS.
  • Applied machine learning algorithms such as Logistic Regression, KNN, Random Forest, and Deep Learning to enhance predictive accuracy.

Data Scientist Intern

Insofe
Bengaluru
08.2017 - 11.2017
  • Automating the process of Text Analysis and Classification for patient analysis using machine learning techniques, which helped client for faster process of patient documents.
  • Technical Stack – Python, Oracle
  • Algorithms – Logistic Regression, Support Vector Machines

Software Engineer

HCL Technologies
Bengaluru
01.2014 - 08.2017
  • Analyzed customer loan applications to prevent approvals for willful defaulters, reducing non-performing assets.
  • Developed automated credit card fraud detection systems, expediting settlements for customers.
  • Contributed to Misys Core Banking Implementation within Payments team, creating multiple APIs for payment processing.
  • Conducted user data analysis and trained machine learning models to predict customer churn.
  • Engineered predictive models for real estate companies to forecast property prices, enhancing profit margins.
  • Implemented seismic wave prediction models based on mining activity data to anticipate earthquakes.

Education

PGP - Big Data Analytics And Optimization

International SCHOOL of Engineering
Bengaluru
11-2018

B. TECH - Computer Science

Dr. M.G.R. Educational And Research Institute
Chennai

Skills

  • Data analysis
  • Data visualization
  • Project management
  • Dashboard development
  • Big data analytics
  • Text analytics
  • Topic modeling

Projects

Customer Churn, Performed analysis on user data and Trained machine learning models to predict the possible customer to churn. House Price Prediction, Used machine learning to build model that can predict the price of houses in certain area for buying and selling of properties for real-estate companies and maximizing the profits. Hackathon - Earthquake Prediction, Earthquake or seismic waves prediction for the quakes that arrive due to mining activity. Trained models for predicting the quake based on past data of mining activities and seismic produced.

Timeline

Data Science Lead

Accenture Solutions PVT LTD
05.2020 - Current

Software Engineer – Machine Learning

Quacquarelli Symonds
09.2018 - 03.2020

Data Scientist Intern

Insofe
08.2017 - 11.2017

Software Engineer

HCL Technologies
01.2014 - 08.2017

PGP - Big Data Analytics And Optimization

International SCHOOL of Engineering

B. TECH - Computer Science

Dr. M.G.R. Educational And Research Institute
Abhishek Gautam