Abhishek Laddha

Lead ML Engineer

Delhi, India9 yrs 8 mos experience

Highly Stable

Key Highlights

Over 9 years of experience in data science and machine learning.
Published 5+ research papers in international conferences.
Expertise in NLP, forecasting, and catalog management.

Stackforce AI infers this person is a Data Scientist specializing in E-commerce and Social Media applications.

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Skills

Core Skills

Demand ForecastingDeep LearningCatalog ManagementNatural Language ProcessingKnowledge GraphsInformation Extraction

Other Skills

Graph Neural NetworksModel DeploymentCollaborationData AnalysisNeural NetworksKerasTensorFlowComputer VisionAirflowMLflowTechnical LeadershipFine TuningModel DevelopmentRandom ForestSQL

About

Experienced Data Scientist with demonstrated business impact solving various problem statements in e-commerce and social media using machine learning and data science. More than 9 years of industry experience working on the various problems in NLP (Information extraction, Conversations bot, Knowledge graph), Forecasting, Pricing systems and Catalog leveraging latest technologies of deep learning and traditional ML techniques. Strong engineering professional with 5+ research papers published in multiple International conferences and journals.

Experience

9 yrs 8 mos

Total Experience

2 yrs 8 mos

Average Tenure

1 yr 8 mos

Current Experience

Senior Machine Learning Engineer

Sep 2024 – Present · 1 yr 8 mos · Bengaluru, Karnataka, India · On-site

Flipkart

Data Scientist III

Oct 2019 – Sep 2024 · 4 yrs 11 mos · Bengaluru Area, India

Worked on demand forecasting of product for grocery and BGMHE categories for Flipkart Retail. Leading the effort for DL and GNN based forecasting for all BUs.
Worked on listing recommendation for MP-FBF.
Worked on validation of pricing offers
Lead the charter of catalog enrichment (e.g. color, vertical, attributes) for international listings
Actively collaborated with Business, Engineering and Analytics to analyse problems, deploy models and tracking of metrics

Demand ForecastingDeep LearningGraph Neural NetworksModel DeploymentCollaboration

Hike messenger

Data Scientist

Jul 2018 – Sep 2019 · 1 yr 2 mos · New Delhi Area, India

Worked on type-ahead sticker recommendation in conversation context. Experience working with multiple teams to deploy ML solution. Developed novel deep learning model to understand the transliterated text in conversations. Deployed a quantized classification network to run on low-end mobile phone. Demonstrated our work at IJCAI-2019 and presented full paper at AAAI-2020 Industrial Track.

Deep LearningNatural Language ProcessingModel Deployment

Ibm research

Research Engineer

Jul 2016 – Jun 2018 · 1 yr 11 mos · New Delhi Area, India

Researched with primarily focus on knowledge graph based question answering and information extraction from documents. Developed a novel memory based neural model to answer complex queries and generative model for representation of semi-structure document. Awarded Best paper runner up Award in HT 2018 and published paper in TACL.

Knowledge GraphsInformation ExtractionNeural Networks