About Shubham Pandey

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    United States
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About me

I’m Shubham Pandey, a passionate and versatile professional specializing in Artificial Intelligence (AI) and Machine Learning (ML) engineering. With a solid academic foundation and extensive hands-on experience, I thrive on tackling complex problems and transforming data into actionable insights.

Professional Experience

In my recent role as a Machine Learning Intern at Delaware North, I honed my skills in optimizing sales and data quality using advanced ML models and anomaly detection, working with massive datasets, and ensuring pipeline validity, achieving a 23% improvement in sales optimization.

Previously, I served as a Data Scientist at Fidelity Investments, where I implemented journey-based recommendations through collaborative filtering, enhancing user engagement and attrition, resulting in a 7% increase in user engagement.

As a Senior Data Scientist at Tredence Inc., I led efforts to enhance search coverage and reduce query time, employing multiclass classification and automated damage item detection, showcasing my proficiency in various ML techniques, and reducing query time by 75%.

✨ Key Skills ✨

✔ Machine Learning | Deep Learning | NLP | Computer Vision | Generative AI | RNN | Transformers | Large Language Models (LLM)
✔ Python | R | MATLAB | C++ | Java | SQL | Bash | JavaScript
✔ PyTorch | Flask | Django | Airflow | Databricks | Spark | MLOps | PowerBI | Tableau | Kafka | Hive
✔ Google Cloud | AWS | Kubernetes | CI/CD

Education

I am on track to complete my Master of Science in Artificial Intelligence at the University at Buffalo in December 2023, with robust coursework covering Machine Learning, Reinforcement Learning, Natural Language Processing, Computer Vision, and Robotics.

Community & Leadership

Driven by my passion for AI, I founded the AI Club at the University at Buffalo, organizing industrial leader talks and events. Additionally, my role as Karnataka State Human Rights Secretary for Megha Welfare Association underlines my commitment to social impact.

Let’s connect! I am actively seeking opportunities in the fields of AI/ML Engineering, Data Science, and Software Engineering (ML). Feel free to reach out to explore potential collaborations and discuss exciting projects. Together, we can innovate and drive the future of AI.

#AI #MachineLearning #DataScience #MLEngineer #ArtificialIntelligence #SoftwareEngineer #Innovation

Education

Experience

  • 2023 - Present
    Delaware North

    ML Intern

    • Cut pipeline downtime by 30%, leading a team to validate data & mitigate anomalies in 50M records daily in 300+ locations
    • Developed sales trend prediction models in food sales, yielding a 15% revenue increase through multimodal models

  • 2022 - 2022
    Fidelity Investments

    Data Scientist (AI CoE)

    • Enhanced user attrition and engagement by 15% through journey-based recommendations using collaborative filtering

  • 2019 - 2022
    Tredence Inc.

    Senior ML Engineer (AI CoE) – Associate Manager

    • Pioneered and managed AI CoE team, growing from the first hire to eight members, overseeing projects and mentoring
    • Spearheaded NLP data mining to improve search coverage by 28% and query time by 75% using generative NLP models
    • Saved retail client ~12% annually by automating detection, localization, and refunds for damaged items using Images
    • Developed post-hoc, model agnostic explainability (Explainable AI) product MLWorks to reduce downtime by ~90%
    • Led A/B testing initiatives, crafted attribution Models, optimized CLTV, contributing to ~18% boost in marketing efficiency
    • Boosted customer success rate by 12% by employing a causal-multi-touch attribution model for online and retail ads

  • 2017 - 2019
    Wipro Technologies

    Machine Learning Engineer

    • Mentored teammates & reduced turnaround time by 15 hours weekly by validating documents & automating payments
    • Designed an RNN-based framework for call summarization, text/audio-based sentiment, improving turnaround by 40%
    • Collaborated and optimized Enterprise and Retail KYC turnaround time by 90% by verifying Identification documents
    • Deployed an anomaly detection solution for real-time first-party fraud forecasting/detection, reducing bank losses by 18%
    • Integrated active learning, GAN, and VAE for customer segmentation and data generation, cutting ML lifecycle by 33%
    • Selected as a mentor to Wipro Holmes VP Rohit Adlakha in a prestigious reverse mentoring initiative, fostering innovation

Skills

Agile Airflow AWS (ECS Bash c CI/CD Communication Compute Engine) Critical thinking CUDA CV Databricks Django DL Docker ElasticSearch Flask GANs Generative AI git Go Google Cloud (Cloud Storage Hadoop Hive Java JAVASCRIPT Kafka Keras Kubernetes lambdas Large Language Models Leadership linux Machine Learning MapReduce Matlab ML MLOps MongoDB NLP Node.js NodeJS Pig PostgreSQL PowerBI Problem -solving python Pytorch R RNN S3 Spark sql SQS Statistics Tableau team player Tensorflow Transformers
 
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