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Prajit Bhalala

@prajitbhalala

Computer engineering student and data scientist building ML-driven products and production-ready analytics.

India
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What I'm looking for

I seek roles where I can apply ML and data engineering to build production-ready, explainable AI systems that deliver measurable operational impact and grow within a collaborative, agile team.

I am a computer engineering student focused on building machine learning and data-driven products that solve real operational problems. I combine full-stack development skills with applied ML to deliver usable tools for stakeholders.

As an Application Development Intern I engineered an Android ecosystem for workforce and inventory management, developed predictive maintenance features, and built a management dashboard to synchronize complex industrial workflows.

My projects include CogniCare, a conversational AI assistant integrating Gradio and OpenAI APIs to streamline clinical intake, and multiple explainable-ML tools — an IPO outcome predictor (XGBoost, SHAP, Streamlit) and a churn-prediction dashboard with 88% precision.

I hold certifications in Cloud Architecting and IBM data and ML specializations, and I emphasize explainability, reliability, and operational impact when transitioning models from prototype to product.

Experience

Work history, roles, and key accomplishments

Sky Infoway logoSI

Application Developer

Sky Infoway

Nov 2025 - Feb 2026 (3 months)

Engineered a unified Android ecosystem integrating workforce management, inventory tracking, and task scheduling to
achieve semi-automation and operational resource optimization.
Developed an intelligent asset system featuring machine maintenance prediction and in-app call booking to minimize
downtime and enhance factory-wide productivity.

Education

Degrees, certifications, and relevant coursework

SVKM's NMIMS University Mukesh Patel School of Technology Management & Engineering logoSE

SVKM's NMIMS University Mukesh Patel School of Technology Management & Engineering

Bachelor of Technology, Computer Engineering

2022 -

Grade: 3.42/4.00

Activities and societies: Relevant coursework: DSA, SQL, ML, AI, Software Development Life Cycle, Data Analytics/Data Science.

Pursuing B.Tech in Computer Engineering with coursework in data structures, SQL, machine learning, AI, software development lifecycle, and data analytics; CGPA 3.42/4.00 till 6th semester.

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