Asheesh Mahor

AI Researcher

Bengaluru, Karnataka, India14 yrs 8 mos experience

Highly Stable

Key Highlights

Expert in building scalable AdTech solutions.
Strong background in Deep Learning and Data Science.
Proven track record in improving click-through rates.

Stackforce AI infers this person is a Data Science Architect specializing in AdTech solutions.

Contact

Skills

Core Skills

Ad TechDeep LearningRecommendation & Ranking SystemData Analysis

Other Skills

AnalysisAnalyticsApache KafkaApache SparkApache ZeppelinArena Simulation SoftwareBayesianBayesian inferenceBig DataBloombergBusiness StrategyC++CassandraCore JavaData Mining

About

Data Science Architect @Amagi Ad-Tech Technical : R, Python, Java, Mongo SQL ,Hadoop, Hive, Hbase, Redis, ElasticSearch, Cassandra, Kafka, Spark,Keras,TensorFlow

Experience

14 yrs 8 mos

Total Experience

2 yrs 11 mos

Average Tenure

3 yrs 6 mos

Current Experience

Amagi corporation

Data Science Architect (CTV AdTech)

Dec 2022 – Present · 3 yrs 6 mos

Building Adtech Data Science Solutions for CTV / Stream Platforms

Over-the-Top Content (OTT)Live TVBayesian inferenceVASTDeep LearningBig Data+1

Goto group

Principal Architect( Data Science : AdTech )

Dec 2021 – Nov 2022 · 11 mos

Data Science Principal Architect in AdTech (GoJek/Tokopedia)

Recommendation & Ranking SystemBayesianDeep Learning

Bharathiar university

Guest Speaker

Feb 2021 – Feb 2021 · 0 mo · Coimbatore South, Tamil Nadu, India

Delivered a lecturer on recommendation systems and its industrial applications

Huawei

Data Science Manager (AdTech : Huawei Mobile Services (HMS))

Nov 2019 – Dec 2021 · 2 yrs 1 mo · Bengaluru Area, India

Building Scalable Data Science solutions for Ad-Tech using deep learning

Deep Learning

Delhi university

Guest Speaker

Mar 2019 – Mar 2019 · 0 mo · New Delhi Area, India

Guest Speaker at Delhi university --Algebra and its application in AI

The times of india

2 roles

Data Science Manager( AdTech)

Jun 2013 – Oct 2019 · 6 yrs 4 mos

Worked as Data Science Manager With the focus on improving the click-through-rate
Word2Vec: News article recommendation
Logistic Regression : Performance Forecasting
Collaborative Filtering : Similar user identification

Deep Learning