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Santhosh V
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Kannada Native or bilingual proficiency
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English Professional working proficiency
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Hindi Native or bilingual proficiency
Bio
Credentials
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Basics of Money
INDmoneyOct, 2023- Apr, 2026 -
Deep Learning Specialization
DeepLearning.AISep, 2022- Apr, 2026 -
Sequence Models
DeepLearning.AISep, 2022- Apr, 2026 -
Structuring Machine Learning Projects
DeepLearning.AISep, 2022- Apr, 2026 -
Convolutional Neural Networks
DeepLearning.AIJun, 2022- Apr, 2026 -
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
DeepLearning.AIMay, 2022- Apr, 2026 -
Neural Networks and Deep Learning
DeepLearning.AIMay, 2022- Apr, 2026 -
Machine Learning
Stanford OnlineApr, 2022- Apr, 2026 -
Edison Expert 2020 Supply Chain
Schneider ElectricDec, 2020- Apr, 2026 -
STATEMENT OF ACCOMPLISHMENT | R Programming Track
DataCampFeb, 2018- Apr, 2026 -
STATEMENT OF ACCOMPLISHMENT | Introduction to R Course
DataCampFeb, 2017- Apr, 2026 -
Decision Scientist Certificate
Mu Sigma Inc.Jan, 2015- Apr, 2026
Experience
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Aditya Birla Management Corporation Pvt Ltd
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Bengaluru, Karnataka, India
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Specialist Data Scientist
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Nov 2022 - Present
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Bengaluru, Karnataka, India
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France
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Automation Machinery Manufacturing
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700 & Above Employee
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Senior Data Scientist
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Apr 2021 - Nov 2022
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Data Scientist
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Nov 2018 - Apr 2021
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United States
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Business Consulting and Services
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700 & Above Employee
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Decision Scientist
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Apr 2017 - Oct 2018
Client - Australian retailerIncremental analysis of Online Sales:• Estimated what percentage of online sales in FY17 was incremental to the overall business which enabled the business stakeholders to take decision on further investment into online channel.Techniques: Design of Experiments – Test vs Control analysisTechnology: Oracle SQL, SASClient - Multinational CPG company• Set up data strategy & processes to harmonize data and create analytical dataset to be used for baseline prediction aiding trade promotion optimization at customer-SKU level.Techniques: Extract, Transform and Load (ETL), Exploratory Data Analysis (EDA)Technology: MS SQL, R, ExcelClient - World’s largest technology company• Reducing failure rate of parts - Used classification techniques and built a model that predicts hardware failures in advance thereby enabling clients to reduce failure rate from 10% to 7% and service time which eventually lead to improved utilization of service-units and customer satisfaction metrics like CSAT scores and NPS.Techniques: Classification - Logistic regression, Tree based algorithms - Random forestTechnology: Teradata SQL, R, Python
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Trainee Decision Scientist
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Dec 2015 - Mar 2017
Client - World’s largest technology company• Built an anomaly detection framework for identifying outliers among various key metrics in the data and alert the business stakeholders to investigate and take necessary business actions. Framework was automated and scaled up for multiple use cases including product quality issues, fraudulent cases etc. This enabled annual cost savings of $7.8M per line of business.Techniques: Statistical Process Control techniques like Lowess, Robust Filter, Mann-Kendall, and CDF• Reduced the manual effort in analyzing heatmaps - Automated heatmap analysis by recreating the heatmaps using clustering techniques on the time-series data which reduced 60% of man-hours in identifying the trend components across key metrics.Techniques: Clustering techniques like k-means, Hierarchical clustering, Expectation-Maximization, andDBSCANTechnology: Teradata SQL, R, Python, Tableau, AlteryxProduct owner for in-house rapid analytics work-flow automation tool built on the concept of Business Process Model and Notation (BPMN)Tool adoption:• Creating end to end workflows for an analytical process using BPMN on the workflow automation tool.• Automating and scheduling repetitive end to end analytical processes to maintain and refresh through the tool.• Creating parameterized reusable snippets of code in SQL/R/Python that can be easily integrated into a workflow on the tool or reused in an entirely new workflow which has a similar business process.Tool enhancement and deployment:• Creating the roadmap for feature enhancements within the tool to adapt the product to the changing needs of the customer.• Working with the client team to set up the database, LDAP and apache servers necessary for deployment of the tool on Unix based environments like MacOS, RHEL, and Ubuntu.• Created multiple automated analytical processes like forecasting framework to predict total repairs, HR analytical process , etc.Technologies used: R, Python, SQL, Shell
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Reserach Analyst
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Sep 2015 - Dec 2015
Did Market Research for Analytical platforms which provides the Review of Analytical user profiles, Analytical products, and Analytics Industry trends. Resources used: Gartner Magic Quadrant reports, Forester Wave reports, Analytical PlatformsWork comprised of :• Identifying predominant players in the Analytical industry to gather and understand their tools and offerings and validating them against the market analysis reports• Generating insights about the requirements of the users in Analytical industry and it's trend• Results are used to understand the position of an in-house analytical tool and it's offerings against the industry trend
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TVS Motor Company
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Mysuru Area, India
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Intern
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Jan 2015 - Apr 2015
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Mysuru Area, India
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Education
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2011 - 2015The National Institute Of Engineering, Mysore
Bachelor of Engineering (BE), Mechanical Engineering
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