Shridhar Hegde

Operations Associate

Bengaluru, Karnataka, India6 yrs 5 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

5+ years in data analysis and machine learning.
Expert in SQL, Python, and R for data insights.
Proven track record in predictive modeling.

Stackforce AI infers this person is a Data Scientist with expertise in Machine Learning and Data Analysis within the Insurance sector.

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Skills

Core Skills

Data AnalysisData VisualizationData ScienceMachine Learning

Other Skills

AnacondaAnalyticsApache SparkAzure Data FactoryAzure DatabricksBayesianClient CommunicationClinical Data AnalysisClinical Data ManagementCognosCommunicationData AnalyticsData ModelingDatabricksDeep Learning

About

5+ years of experience in data analysis and machine learning. Skilled in SQL, Python, R, Power BI, and Databricks. Strong in building models, dashboards, and turning data into insights.

Experience

6 yrs 5 mos

Total Experience

3 yrs 3 mos

Average Tenure

3 yrs 1 mo

Current Experience

Wns analytics

2 roles

Assistant Manager

Jun 2025 – Present · 1 yr · Bengaluru, Karnataka, India · Hybrid

Senior Analyst

May 2023 – Sep 2025 · 2 yrs 4 mos · Bengaluru, Karnataka, India · Hybrid

Industry: Insurance
Project Description: The project aimed at developing and maintaining
reports/dashboards based on the design specification to predict, monitor and study the
competitor pricing using SQL, SAS, R studio, PowerBI. Worked on migration of
SAS-based reports to Databricks with PySpark for enhanced performance and scalability.

SQLSASRPower BIDatabricksPySpark+2

Accenture

Senior Data Scientist

Nov 2019 – Mar 2023 · 3 yrs 4 mos · Bangalore Urban, Karnataka, India

The project aimed at the Customer Churn Analysis where the loyalty of
the customer needs to be identified using descriptive analytics and provide the insights how to
retain the present existing customers in the company. The project involved a deep
understanding of the customer data and analyzing the same with the help of SQL, Regression,
correlation and programming language – Python and R
 To fetch the data from the database based on the business criterion and load the same in the
excel sheet for further processing using R.
 To calculate the tenure of the customer and create a new variable which will
determine the loyalty of the customer within the company.
 To select the important variables and deep dive in the patterns followed in the data
set to understand the customer sentiments.
 To find the missing values in the data set using Random Forest Algorithm. This
includes testing the training data sets and validating with the test data set.
 To find the missing values in the data set using different algorithm and check the
accuracy with each algorithm.
 To develop the predictive model (Customer Churn) about the probability that the
customer will leave the company and what is the loss made to the company in
total of all the Churns observed