Kiran Talari

Director of Engineering

Bengaluru, Karnataka, India15 yrs 3 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Proven leader in building high-impact data science teams.
Expertise in AI-driven solutions across multiple industries.
Strong background in ML and data engineering.

Stackforce AI infers this person is a Data Science and AI leader with expertise in E-Commerce and Healthcare.

Contact

Skills

Core Skills

Data EngineeringMl EngineeringMlopsAiDigital MarketingBusiness StrategyMachine LearningData Science

Other Skills

A/B TestingAWS SageMakerAlgorithmsAnalyticsArtificial Intelligence (AI)Artificial Neural NetworksAuto ScalingBusiness AnalysisBusiness AnalyticsCC++CoffeeScriptComputer VisionContainerizationCross-functional Team Leadership

About

DS leader with good breadth and depth of ML and Data Engineering. Experience in building high impact teams from scratch and driving business strategy using data. Experienced in lending, e-commerce, marketing, health care, supply chain and insurance domains. Passionate to solve high impact problems using AI.

Experience

15 yrs 3 mos

Total Experience

2 yrs 6 mos

Average Tenure

3 yrs 1 mo

Current Experience

Credit saison india

2 roles

Director - ML & Data Engineering

Promoted

Oct 2024 – Present · 1 yr 6 mos · Bengaluru, Karnataka, India · Hybrid

Leading a very talented group of ML, Data and QA Engineers.

DatabrickData EngineeringML PlatformMLOpsExtractTransform+5

AVP Data Science and Engineering

Mar 2023 – Oct 2024 · 1 yr 7 mos · Bengaluru, Karnataka, India · Hybrid

MLOpsPeople ManagementML PlatformAuto ScalingAWS SageMakerTechnical Leadership+8

Quince

Principal Engineer - Data Science

Mar 2022 – Feb 2023 · 11 mos · Bengaluru, Karnataka, India · Remote

Oversaw the DS strategy working closely with Business teams and leadership.
Managing the projects spanning across
Recommendations
Retention strategy
Marketing Performance Optimisation
Media Mix Modelling
Multi Touch Attribution
Incrementality Tests/AB testing

Digital Marketing AnalyticsE-CommercePeople ManagementCross-functional Team LeadershipMarketing AttributionA/B Testing+6

Johnson & johnson

2 roles

Principal Data Scientist

Promoted

Jan 2020 – Mar 2022 · 2 yrs 2 mos

Building a cloud based ML/AI platform for data science community to discover, train and deploy models on Kubernetes that can be served as restAPIs.
Building a model repo with CV, NLP and ML pipelines for easy adoption and to avoid reinventing the wheel.
Recruited and built a 70+ member cross functional teams including Data Scientists, ML Engineers, Python & C# developers.

Computer VisionMLOpsPeople ManagementML PlatformAlgorithmsAuto Scaling+16

Senior Data Scientist (through Skoruz)

Oct 2018 – Jan 2020 · 1 yr 3 mos

Building end to end analytics solutions for Johnson & Johnson in Supply Chain, Health, and FMCG domains using ML/AI on Azure cloud.
NLP using Deep Neural Nets : Spend classification
Computer Vision : Prediction of the presence of disease from histo-pathological images(biopsies)
Demand Forecasting : Statistical algorithms for sales and demand forecasting. ARIMA, ETS, TBATS & ensemble.
Predictive analytics : To improve operational efficiency.
Speech to text : Deep Learning(Kaldi) based medical transcription tool.

ML PlatformAuto ScalingArtificial Neural NetworksMachine Learning

Aig

2 roles

Senior Data Scientist

Dec 2017 – Sep 2018 · 9 mos

A predictive model for fire accidents given all the attributes of the location and building.
Data preparation matching claims to exposure at location level
Geocoding location based on address using google api
Dedup locations and addresses using various techniques

R & D Specialist, Global Property Analytics

May 2014 – Dec 2017 · 3 yrs 7 mos

Designed and built a Portfolio Analytics solution for Nat Cat modelling that offers
1. creation of any portfolio based on your criteria
2. visibility of exposure at peril, policy and location levels
3. portfolio modelling for losses at peril, policy and location levels

Global analytics

2 roles

Senior Risk Analyst

Promoted

Nov 2012 – Apr 2014 · 1 yr 5 mos · Chennai

Responsible for evaluation of ML models and it’s effective separability of goods and bads
Created a monthly report dashboard that illustrates the key performance risk metrics like acquisition costs and bad rates for all the campaigns running on the portfolio.
A Champion vs Challengers depiction helps to understand which campaigns are doing well to continue and which ones to stop.
Was responsible to monitor and analyse any changes in the loan booking volumes on daily basis.

Software Developer

Feb 2011 – Nov 2012 · 1 yr 9 mos · Chennai

Product development of a loan management system using Python Django framework with a front end web portal.
Worked on modules like Payments, Card, Immediately Pull, Show Schedule, Daily run update scripts etc.