Abhishek Sahu

CEO

Gurugram, Haryana, India12 yrs 8 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

10 years of experience in Data Science and Engineering.
Expertise in Generative AI and scalable data solutions.
Proven leadership in building high-performing data teams.

Stackforce AI infers this person is a Data Science and Engineering expert in Fintech and Gaming industries.

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Skills

Core Skills

Data EngineeringGenerative AiData Science

Other Skills

Data WarehousingLarge Language Models (LLM)Large Language Model Operations (LLMOps)LangChainAgentic AIVectorDBVector DatabasesMicrosoft AzurePythonREST APIsMicroservicesSQLApache SparkAirflowDelta Lake

About

With an extensive 10 years long career, I chase a goal of synergizing the skills of Business, Data Science, and Data Engineering. I have leveraged my deep understanding of mathematical and machine learning models to craft innovative solutions for our business needs, and have seamlessly integrated this expertise with scalable frameworks such as Apache Spark, Docker, Django, and AWS cloud services, ensuring our solutions are not only powerful but also capable of scaling for production-level deployment. This synergy between advanced algorithms and cutting-edge technologies empowers us to deliver high-impact, scalable solutions that drive our business forward.

Experience

12 yrs 8 mos

Total Experience

1 yr 9 mos

Average Tenure

2 yrs 5 mos

Current Experience

Self-employed

Lead Data Architect

Jan 2024 – Present · 2 yrs 5 mos

Directed end-to-end data engineering and Generative AI transformation for a leading bank by architecting an on-prem lake-house ETL framework (Apache Spark, Airflow, Delta Lake, RDBMS) and a reusable LLM-orchestration layer that unifies model packaging, MLOps, and vector-DB integration (Qdrant). Shipped production GenAI products—including an LLM-powered, Agentic Credit Assessment tool (OCR + multi-pipeline parsing; ⇣ 2-day TAT → 2 h), secure HR & CXO chatbots (FastAPI/Django, custom embedding search, RBAC, metadata filtering), and an offline machine-translation & knowledge-graph service for air-gapped environments. Also delivered a vision-based cheque handwriting pipeline (VisionEncoderDecoder, OpenCV) that feeds JSON straight into core banking. Key skills - data engineering leadership, lake-house, ETL, Spark, Airflow, Delta Lake, MLOps, LLM, GenAI, FastAPI, Django, Docker, RBAC, vector database, Qdrant, OCR, Agentic AI, on-prem security & governance.

Data WarehousingLarge Language Models (LLM)Large Language Model Operations (LLMOps)LangChainAgentic AIVectorDB+8

Deltatech gaming limited

Head of Data Science

Apr 2022 – Dec 2023 · 1 yr 8 mos · Gurugram, Haryana, India · On-site

Led the strategic establishment of the data science and data engineering teams, building a high-performing function from the ground up to drive innovation and measurable business impact. Designed and deployed advanced ML models including LightGBM, XGBoost, and Logistic Regression, with full model lifecycle management via MLflow. Architected and implemented enterprise-grade ETL pipelines to process high-volume data across multiple domains (e.g., game telemetry and customer interactions), leveraging Apache Spark, Airflow, and Delta Lake built over Databricks for reliability and scalability. Established a modern data platform stack with Delta Tables, RDBMS, and Hadoop-based storage, enabling analytics, experimentation, and near real-time insight delivery. Championed automation and workflow orchestration, streamlining model training, monitoring, and deployment, which accelerated decision-making for product, credit, and marketing strategy across the organization.

Amazon Web Services (AWS)Business IntelligenceApache SparkLarge Language Models (LLM)Data ScienceBig Data+11

Junglee games

Lead Data Scientist

Jan 2020 – Apr 2022 · 2 yrs 3 mos · Gurugram, Haryana, India

Led data-driven retention and monetization initiatives for Howzat and Rummy platforms by architecting real-time engagement analytics, building disengagement-prediction models (LightGBM/XGBoost on Spark feature stores), and rolling out event-affinity segmentation that cut re-engagement CPA by ~20 %. Designed a bonus-optimization engine to target high-ROI user cohorts, lifting conversions 12 % while holding spend. Deployed containerized ML services (FastAPI + Docker) with automated model monitoring and planned auto-retraining. Automated CX email classification into 18 categories, streamlining support workflows.

Data EngineeringApache AirflowMLflowApache KafkaMachine LearningDocker+2

Scoredata corporation

Senior member, Customer Data Engineer

Sep 2018 – Jan 2020 · 1 yr 4 mos · Pune Area, India

Leading a team of two members to develop scalable solutions for clients in the Media and call center domain.
Converted a POC project to a full suite of multiple projects.

Amazon Web Services (AWS)

Barclays bank plc / financial consultant

Assistant Manager

Apr 2017 – Sep 2018 · 1 yr 5 mos · Noida Area, India

Model Monitoring Risk Assessment, Capital Financial Models (US)
Model Monitoring Risk Assessment, Acquisition Financial models (US)

Snapdeal

2 roles

Assistant Manager

Promoted

Oct 2016 – Apr 2017 · 6 mos · Gurgaon, India

Led a team to develop integrated solutions to grow new customer acquisition, incremental sales, and net order conversions.
Define and estimate the performance of key metrics of A/B testing to priorities sub-tasks and present final achieved results to all stakeholders in a presentation.
Integration of programming and intelligent algorithms in daily activities to reduce manual efforts and automate reporting and data aggregation with the aim of reducing operational latency.

Senior Business Analyst

Sep 2014 – Oct 2016 · 2 yrs 1 mo · Gurgaon, India

Data Science team - optimized solutions using Big Data to increase user conversions.

Analytics quotient

Senior Business Analyst

Aug 2013 – Aug 2014 · 1 yr

Partnered with the sales team to provide presentation decks and analysis to pitch prospective clients to use our products.
Created custom analysis reports and dashboards for clients.
Promoted knowledge of Excel, Selenium JAVA, SQL and large data set manipulation.