Anoop Saladi

Lead ML Engineer

Bengaluru, Karnataka, India12 yrs 7 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Machine Learning and Data Analytics.
Led multiple high-impact projects in Fintech and E-commerce.
Proven track record in developing algorithms for customer experience.

Stackforce AI infers this person is a Machine Learning and Data Analytics expert in E-commerce and Fintech industries.

Contact

saladianoop@gmail.com LinkedIn

Skills

Core Skills

Machine LearningData AnalyticsFraud Risk ModelingMarket Mix Modeling

Other Skills

AWSAWS - RedshiftAmazon DynamodbAmazon EC2Amazon RedshiftAmazon S3Amazon Web Services (AWS)AnalyticsCC++CARTDynamoDBEMRExcelHive/Hadoop

Experience

Amazon

4 roles

Senior Manager, Applied Science

Promoted

Apr 2023 – Present · 2 yrs 11 mos

Manager, Applied Science

Jul 2021 – Mar 2023 · 1 yr 8 mos

Senior Machine Learning Scientist

Promoted

Apr 2019 – Oct 2021 · 2 yrs 6 mos

I am working in Amazon India Machine Learning team which comes up with novel ML algorithms for a wide range of problems in Image Processing, Natural Language Processing, Predictive Analytics, Forecasting and related areas to improve Seller and Customer Experience at Amazon
Leveraging cutting edge tools to build state-of-the-art ML algorithms for e-commerce
Develop algorithms to target customers for CX experiments in a test control set-up
Using big data analytics to gauge the impact of clinical defect resolution on customer experience
Tools: Python, R, Spark, Pig, SQL, AWS - Redshift, EMR, S3, DynamoDB

PythonRSparkPigSQLAWS - Redshift+5

Machine Learning Scientist

Jun 2015 – Mar 2019 · 3 yrs 9 mos

Inductis

Manager, Decision Analytics

May 2013 – May 2015 · 2 yrs

1. Fraud Risk Modeling
Client: Fortune 500 Financial services company based out of US
Built machine learning models using GBM/RF & compared performance over existing models
Developed logistic regression models post data transformation to identify fraudulent transactions
Developed scorecards based on the output of statistical models
Tools Used: Python, SAS, R, Hive/Hadoop, CART, Excel
2. Market Mix Modeling & Investment Optimization
Client: Fortune 100 Technology company based out of US
Led a 6 member project team and delivered Market Mix Models for 5 different geographies
Methodology: Data transformation, Ridge regression, Structural Equation Modeling
Developed optimization dashboard which recommends effective mix of marketing channels
Tools Used: Python, SAS, Excel VBA
3. Digital Marketing Effectiveness
Client: Fortune 100 Technology company based out of US
Worked on Clickstream data and analyzed online journey of visitors to the client website
Developed framework for Online Fractional Attribution to estimate the pipeline contribution
Identified performance drivers of different Demand Generating Vehicles (DGVs) for prioritization
Analyzed content of different site sections to increase consumption and drive lead submission
Tools Used: Python, SAS, Excel VBA
4. Operations Process Improvement
Client: Fortune 500 Banking company based out of Malaysia and Philippines
Automated various trade reconciliations involving multiple files resulting in FTE savings
Worked on various trading platforms like Sophis, Rolfe Nolan etc.
Developed process maps & created technical specification documents for reconciliations
Tools Used: Python, Excel VBA
5. Risk Audit
Client: Fortune 500 Banking company based out of Malaysia and Philippines
Developed scoring framework and assessed the risk score for multiple trade reconciliations
Ensured compliance with regulatory guidelines (Sox, Dodd-Frank, EMIR)

PythonSASRHive/HadoopCARTExcel+2

Google

Management Intern

Apr 2012 – May 2012 · 1 mo · Gurugram, Haryana, India

Primary research for market research project to find out customer purchase pattern
Generated consumer insights on Research Online Purchase Offline phenomenon
Developed an Excel based tool that analyzes consumer responses to keywords in AdWords
Performed detailed inventory analysis for various clients and identified revenue opportunities
Actively contributed in live client pitches – Includes India’s leading smartphones player
Developed a roadmap to generate USD 1Mn of incremental revenues

Ericsson

Technical Intern

May 2010 – Jun 2010 · 1 mo · Greater Hyderabad Area

Developed a model using MapInfo for location identification to improve network performance
Identified prospective locations for future expansion in AP Network and service areas to be focused