Abhishek Kumar

About

I am a passionate and analytical data professional with nearly 2 years of hands-on experience in data engineering, analytics, and machine learning. I thrive on transforming complex data into actionable insights and scalable solutions that drive real business impact. My expertise spans building end-to-end machine learning pipelines, designing real-time data architectures, and developing predictive models that enhance decision-making and operational efficiency. Currently, I work as a Data Engineer at Turing, where I focus on optimizing ML workflows, deploying models in production, and leveraging the latest advancements in NLP and large language models to solve challenging problems. I enjoy collaborating across teams to deliver innovative AI-driven solutions that improve user engagement and automate critical processes. My technical toolkit includes Python, SQL, TensorFlow, PyTorch, AWS SageMaker, and various BI tools like Power BI and Looker Studio. I am also skilled in prompt engineering and generative AI, which I use to build intelligent, context-aware systems. Beyond the technical side, I am committed to continuous learning and growth, holding certifications in data analytics, data science, and machine learning. I am driven by curiosity, problem-solving, and the opportunity to contribute to data-first teams that value innovation and impact.

Experience

• Data Engineer · Turing10-01-2024

  Role: Data Engineer | Domain: Modal Training and Web Development | Technology: Python, AI, Server-side Scripting Project Name : Meta Steeriblity ● Designed and built a high-performance server-side pipeline that merges real-time user behaviour data with AI-driven recommendations, delivering personalized content dynamically. ● Optimized data processing to handle large-scale datasets (millions of records) with low-latency response times (<100ms) using efficient Python scripting and parallel processing. ● Integrated AI/ML models for real-time recommendation serving, improving user engagement rates by 25% through personalized content delivery. ● Implemented secure data-handling mechanisms, including sanitization, validation, and encryption, ensuring 100% compliance with privacy standards. ● Enhanced system efficiency by reducing processing overhead by 40%, enabling seamless AI integration with real-time data pipelines. ● Structured and optimized Python-based server-side scripting, improving query execution speed by 30% through indexing and efficient query structuring.

• Data Science Intern · Blubirch2024-02-01 – 2024-09-01

  • Created and labelled a high-quality training dataset of 4,000 images using Roboflow, enhancing machine-learning model performance. • Analyzed customer return patterns by examining large datasets related to product returns and customer behaviour, providing insights that optimize returns processes, reduce costs, and improve profit margins for retailers and OEMs. • Assisted in the development of predictive models using Python to forecast return rates and predict product grading based on historical data, allowing better inventory planning and minimizing product obsolescence. • Created interactive dashboards and reports using Power BI and Google Looker Studio to provide actionable insights on key performance metrics, including revenue recovery rates, returns volume, and processing time, helping leadership make informed decisions. • Supported business intelligence initiatives by extracting and analyzing data from returns, refurbished inventory, and resale channels, offering insights that drive intelligent disposition decisions and optimize supply chain processes. • Performed data-driven analysis to identify trends in automated product testing and grading processes, recommending improvements to enhance the accuracy and efficiency of grading algorithms used in RA-PaaS platforms.

• Software Developer · Billaway08-01-2021 – 04-01-2023

  ● Developed 150+ REST APIs using loopback, express and node for the product which supports multiple retail clients to generate offers and start and end campaigns, generated vouchers. ● Designed a product to assist clients in retaining loyal customers through generating various offers, bonuses, promotions, and points redemption options on the fly. ● Developed multiple schedulers and cron Jobs for projects targeting fraudulent customers and dealers based on shopping behaviour, visit frequency, point redemption, and other patterns and generated analytical reports using SendGrid and SNS service. ● Programmed automated monthly reports sent to relevant recipients containing a list of flagged fraud customers and reasons for classification.

Education

• PES UniversityMaster of Computer Applications - MCA
• KIIT - Kalinga Institute of Industrial TechnologyBachelor's degree, Computer Application

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