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Nikhil Vadekar

Data expert specializing in scalable pipelines, machine learning, and unstructured data insights to enhance efficiency and empower decision-making.

I specialize in designing and optimizing scalable data architectures, AI-driven analytics, and intelligent automation to power enterprise decision-making. With expertise in big data engineering, machine learning, and cloud computing, I build high-performance data pipelines, deploy ML models, and drive AI adoption for business innovation and operational efficiency.

My experience spans predictive analytics, NLP-based automation, and cloud-native transformations, leading to cost reductions of up to 80%, improved CX metrics, and optimized enterprise data pipelines. Passionate about turning raw data into actionable insights, I thrive on solving complex data challenges that enhance business strategy and technological advancement.
Let’s connect to explore how data, AI, and scalable engineering can create transformative solutions! πŸš€

+2

YEAR OF EXPERIENCE

+4

PROJECT COMPLETED

Data Engineer

Designed and optimized scalable data pipelines, automated ETL workflows, and enhanced data processing efficiency using PySpark, Kafka, and Airflow. Reduced computing costs by 80%, improved real-time data availability, and facilitated seamless cloud data migration (AWS, GCP, Snowflake) to support enterprise-wide analytics.

AI & Machine Learning Engineer

Developed and deployed ML and NLP-driven solutions for predictive analytics and automation. Built AI-powered models to forecast trends, optimize workflows, and reduce operational risks. Implemented deep learning algorithms (TensorFlow, Keras) to enhance natural language understanding and intelligent automation

Data Scientist

Designed and optimized data-driven models, implemented advanced analytics, and built AI-powered business intelligence solutions. Led Claims Narrative Analysis, reducing claim rejections by 40% YoY. Improved CX metrics through AI-enhanced reporting, predictive insights, and data pipeline optimizations with Palantir Foundry and PySpark.

Data Analyst

Transformed raw data into actionable insights through interactive dashboards, real-time analytics, and BI tools (Tableau, Power BI, Excel, Matplotlib). Developed automated reporting frameworks, increasing data-driven decision-making efficiency by 30%. Identified business trends and anomalies, enabling proactive strategic adjustments.

Total

Experience

  • July 2022 – September 2024

    • Developed and optimized large-scale data pipelines using PySpark, Airflow, and Palantir Foundry.
    • Automated complex ETL workflows, improving real-time data processing and reducing manual effort by 40%.
    πŸš€ Data Engineer | Data Scientist | Stellantis via Tata Consultancy Services
  • JULY 2022 - SEPTEMBER 2024

    • Assisted in designing and optimizing data pipelines, supporting data ingestion and processing workflows using PySpark and SQL.
    • Developed interactive dashboards in Power BI and Tableau, enhancing data visualization and business reporting for stakeholders.
    πŸ“Š Data Engineer Intern | Vantage-IQ Technologies

Education

  • AUG 2024 - MAY 2026

    • Specialization: AI, Machine Learning, Big Data, NLP, Statistical Modeling
    • Key Skills Gained: Advanced Data Science, Predictive Analytics, Cloud Computing
    M.S. in Computer Science – Syracuse University, NY, USA
  • AUG 2018 - JUN 2022

    • Core Subjects: Data Structures, Database Management, AI Fundamentals, Big Data
    • Projects: Predictive Analytics, Scalable Data Pipelines
    B.S. in Computer Science – Pune University, India

RECENT

PROJECTS

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πŸš€ Data Engineering Project: Data Pipeline Optimization

Purpose: To design and implement a robust data pipeline that efficiently processes and transforms large datasets for real-time analytics.
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πŸ€– AI & Machine Learning Project: Predictive Maintenance System

To develop a machine learning model that predicts equipment failures, minimizing downtime and maintenance costs.
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πŸ“Š Data Science Project: Customer Segmentation Analysis

To identify distinct customer segments to tailor marketing strategies effectively
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πŸ“ˆ Data Analysis Project: Sales Performance Dashboard

To create an interactive dashboard that visualizes sales performance across different regions and products.

RECENT

BLOGS

LET'S WORK

TOGETHER