Summary
Overview
Work History
Education
Skills
Certification
Accomplishments
Additional Distinguished Activities
Publications
Timeline
Generic

ABHISHEK

AI Lead

Summary

Accomplished Data Science and AI leader with 15 years of experience in building and leading high-performing teams to develop and deploy innovative ML/AI solutions. Expert in defining key processes, recruiting top talent and implementing best practices to drive data-driven decision-making across organizations. Proven track record in shaping AI strategies, creating scalable systems, and leveraging applied research to deliver impactful products. Successfully led cross-functional teams to develop high-impact solutions aligned with business goals, fostering a culture of innovation and continuous improvement. Active researcher holding patents, trade secrets and publications in prestigious journals (IEEE, Scopus, Springer).

Overview

15
15
years of professional experience
6
6
years of post-secondary education
3
3
Certifications

Work History

Principal (Director) - Data Science & AI

Confidential
09.2021 - Current
  • Led team of 30+ AI engineers and data scientists to develop solutions supporting Microsoft sellers across F50, small & medium enterprises and digital natives
  • Defined and executed AI/ML strategy for enhancing product offerings, driving revenue and optimizing operational efficiency
  • Spearheaded AI-driven digital selling solutions for Microsoft's $100B+ Customer and Partner Solutions business, comprising Gen AI-powered copilot assistants [leveraging Azure AI search, Multi LLM, Search Indexes and RAG], propensity models, revenue forecasting and recommender systems to boost sales and reduce operational costs
  • Defined strategic roadmap for implementations aligning with business goals to accelerate revenue growth and strengthen company's competitive edge in AI solution delivery
  • Partnered with startup accelerator 'Founders Hub' team to develop ML based 'Digital Natives Unified Scoring' system, identifying the next potential unicorns
  • Managed research programs, focusing on emerging technologies in cognitive science comprising AI/ML, NLP/ NLU and Gen AI, while fostering partnerships with internal and external research labs for innovation and adoption
  • Key Achievements:
  • Led integration of AI-powered features into 'Copilot for Sales' product, improving seller productivity by 70% and deal closure efficiency by 60%
  • Drove AI/ML implementations that enhanced model accuracy up to 90%, reduced inference time by 30% and boosted product engagement by 30%, resulting in $500M+ revenue impact and 40% reduction in operational costs
  • Implemented and led the adoption of 'Responsible AI' framework, ensuring compliance with industry standards and benefiting 300+ internal developers
  • Authored 10 internal publications/white papers and filed 3 patents, along with contributing to 20+ published research findings at the group level

Sr. Manager - Data Science & Advanced Analytics

MAERSK
06.2019 - 09.2021
  • Established and led comprehensive Data Science practice, building the framework for end-to-end Data Science solutions
  • Led digital transformation initiatives, driving the integration of advanced AI, machine learning, and data analytics into core business operations in 'Logistics' domain
  • Managed team of 50+ diverse Data Science team focused on delivering world class solution by leveraging deep learning, NLP, NLU and ML/AI based implementations
  • Defined technical vision and product roadmap for AI capabilities, aligning them with business objectives catering to customer service, order handling and capacity planning verticals / LoBs
  • Key Achievements:
  • Delivered AI-powered solutions, including container volume forecasting, triaging & auto-response, multilingual order handling, booking prediction, and computer vision-based invoice parsing, boosting user retention by 30% and revenue by 15%
  • Accelerated startup innovation, graduating 4 startups through the 'OceanPro' program
  • Represented Maersk at leading tech forums in India, winning multiple awards for AI innovations in logistics

Practice Lead - Data Science

IBM
12.2018 - 06.2019
  • Lead Data Science frameworks and implementations leveraging ML models for enterprise clients operating with multi-cloud environment

Lead Data Scientist

VISA
09.2017 - 12.2018
  • Led a team of data scientists and AI engineers to design and deploy advanced AI/ML solutions, driving business impact and operational efficiency for marketing & global merchant analytics domain
  • Designed and implemented advanced AI/ML models comprising customer recommender system for merchants and anomaly detection for cross-border transactions
  • Contributed to the development of best practices in model deployment, monitoring, and version control, supporting longterm model sustainability
  • Key Achievements:
  • Collaborated with product teams to launch a recommendation engine using collaborative filtering on transaction data, driving a 35% increase in customer engagement
  • Developed an anomaly detection system for cross-border transactions across merchant categories and regions, achieving 95% detection accuracy
  • Built and deployed scalable ML pipelines, reducing training time by 40%

Senior Data Scientist

FIDELITY INVESTMENTS
03.2014 - 09.2017
  • Designed and deployed production-grade near real time machine learning models for 'Digitization of Services using transcripts'
  • Transaction Modeling: Created multilabel classification models across 180+ transactions categories and scored large volume of transcripts (50 million per month) on frequent (hourly / daily) basis
  • Issue Identification: Implemented issue identification models to determine associated emerging issues for respective transaction(s) categories
  • Key Achievements:
  • Won 'President award' for implementing state-of-the-art issue identification model which increase 60% customer engagement and reduced operational cost (advisory) by 35%

Senior Analyst

DELL GLOBAL ANALYTICS
12.2012 - 03.2014
  • Social Media Analytics: Developed state-of-the-art solution to derive categorized sentiment index across business segments and functionalities
  • Measured real time brand advocacy through social media conversations by implementing using NLP for content classification and sentiment allocation

Entrepreneurship / Freelancer

08.2011 - 12.2012
  • Designed execution plan to project customized text mining solution with core objective to evaluate and strengthen the customer base
  • Implementation Domain: Social media marketing, Pharmaceuticals and Energy

Analyst

08.2010 - 08.2011
  • Determination of Lease End Value of Lease vehicles for US portfolio (Toyota Financial Services) with objective of maximizing the prediction proximity and minimize future losses
  • Modeled the analysis dashboard consisting operational and profitability matrices used to access the Portfolio quality of car vehicles in Puerto Rico and Venezuela for making comprehensive decision on the comparative performance of Toyota

Education

M.Tech - Industrial Management & Engineering, Specialization: Machine Learning & NLP

Indian Institute of Technology (IIT) Kanpur
01.2008 - 01.2010

B.Tech - Industrial Engineering

University of Rajasthan
01.2004 - 01.2008

Skills

  • Programming Languages: Python, PySpark, Keras, Tensorflow, R, C/C
  • Frameworks & Tools: TensorFlow, PyTorch, Keras, Scikit-learn, Apache Spark, Docker, Kubernetes
  • Databases & Cloud: AWS, GCP, Azure, BigQuery, PostgreSQL, NoSQL, SQL
  • ML Platforms: Google AI Platform, Amazon SageMaker, Azure ML
  • Data Engineering Tools: Hadoop, Spark, Kafka, Azure Databricks
  • Machine Learning: Predictive Modeling, Classification, Regression, Reinforcement Learning, Deep Learning, Computer Vision, Transfer Learning, Speech Recognition, GANs
  • Gen AI / NLP/ NLU Techniques: Text Mining, BERT, Prompt Engineering, Azure OpenAI GPT 34/4, Lllama-3, Langchain

Certification

AI & Machine Learning Specialization - Coursera & Microsoft Azure

Accomplishments

  • Won multiple Hackathons and Leadership principles award - Microsoft 2022-24
  • Achieved best leadership score in APAC region 2021 for exhibiting Maersk leadership principles for leading 50+ members team
  • Recognized as '40 under 40 Data Scientists' by Analytics India Magazine (MLDS- 2021)
  • Best Inventor Award 2020 - Maersk
  • Won 'Best Data Science Project award in Mobility category - CYPHER - 2019' for 'Geo density based inland vehicle positioning planning system'
  • Innovation award 2018 - Visa Inc., Delivery excellence award for 'Digitization of Services' - Fidelity (2017)
  • Finalist of Dyuti 3.0 Innovative Project Award 2013, organized by Dell Global Analytics
  • Filed 6 patents [USA/ Denmark] and 3 trade secrets [USA]
  • Secured AIR -2 in GATE-2008
  • Gold Medalist - University of Rajasthan (2004-08)

Additional Distinguished Activities

  • Adjunct Professor for PGPAIML, PGPAIFL Programs at Great Learning [06/2019 - 12/2020: Great Learning, India]
  • Visiting Professor for PG Data Science Program, BITS Pilani [03/2019 - 12/2020: Bangalore / Goa, India]
  • Mentored 500+ Data Science aspirants including covering professionals and leadership (PG program, Great Learning & M.Tech Data Science, BITS Pilani)
  • Committee Member (Review) for International Conference DBKDA -2011 (Netherlands)/ 2012 (Reunion Island, France) / 2013 (Spain) / 2014 (Chamonix, France)/ 2015 (Rome, Italy)/ 2016 (Lisbon, Portugal)

Publications

  • Distinguished Speaker at 'Data Hour' an Analytics Vidhya initiative having 1.4 million subscribers from Analytics & Data Science community [2023 -24]
  • Keynote speaker for Generative AI track at Data hack Summit 2023 organized by Analytics Vidhya [Topic: Winning the Race: Generative AI Adoption & Implementation]
  • Delivered keynote for ML track for topic 'A Network Embeddings based Recommendation Model with multi-factor consideration' in EuroPython 2022, held at Dublin
  • Delivered keynote for ML track for topic 'Implement Customized Natural Language Model using Transformer Architectures' in PyCon PL 2022, held at Poland
  • Guest Speaker at IIT Kanpur and IIIT Sricity for Data Science career guidance and skill adoption [2022]
  • Presented International conference paper (LNCS-Springer proceedings) entitled as 'Graph Community Detection: Normalized Compression Distance Based Implementation for Text Data' in AECIA-2016, held at Morocco
  • Keynote speaker in Rapid miner conference RCOMM'13 (Portugal) - 2013
  • Presented white paper entitled 'Social Media Analysis: Adoption of machine Learning for Knowledge Discovery' in IIM Bangalore International Conference on Business Analytics and Intelligence - 2013
  • Key speaker at International summit entitled 'Sentiment Analysis: Quantification of Real Time Brand Advocacy for Customer Journey using SNA 'in RapidMiner community conference (RCOMM) 2013, held at Porto, Portugal
  • Presented International Conference paper (IEEE proceedings) entitled 'Categorization of News Articles: A Combined Naive Bayes and K-NN Model based on Discriminative Term Extraction method' in DBKDA 2010, held at Les Menuires, France
  • Presented International Conference paper (Springer proceedings) entitled 'Stock Portfolio Management: Prediction of Risk using Text Classification' in ICDMA 2010, held at Hong Kong

Timeline

Principal (Director) - Data Science & AI

Confidential
09.2021 - Current

Sr. Manager - Data Science & Advanced Analytics

MAERSK
06.2019 - 09.2021

Practice Lead - Data Science

IBM
12.2018 - 06.2019

Lead Data Scientist

VISA
09.2017 - 12.2018

Senior Data Scientist

FIDELITY INVESTMENTS
03.2014 - 09.2017

Senior Analyst

DELL GLOBAL ANALYTICS
12.2012 - 03.2014

Entrepreneurship / Freelancer

08.2011 - 12.2012

Analyst

08.2010 - 08.2011

M.Tech - Industrial Management & Engineering, Specialization: Machine Learning & NLP

Indian Institute of Technology (IIT) Kanpur
01.2008 - 01.2010

B.Tech - Industrial Engineering

University of Rajasthan
01.2004 - 01.2008

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