Abhay Naikwadi

Versatile and detail-oriented data professional with expertise spanning Data Engineering, Data Analysis, and Data Science, dedicated to delivering business-driven insights and efficient data solutions.

Data Engineering: Solid foundation in data warehousing, ETL processes, and cloud platforms like AWS and Azure, with strong experience in data lakes, data governance, and CI/CD pipelines. Proficient in SQL optimization, schema design, and streaming data with tools like Apache Spark, Kafka, and Terraform for scalable infrastructure. Skilled in API integration, workflow orchestration with Airflow, and ensuring data security.

Data Analysis: Proficient in A/B testing, statistical modeling, data cleaning, and data visualization using Python, SQL, R, and BI tools like Tableau and Power BI. Skilled in predictive analytics, KPI analysis, and dashboard creation, leveraging big data frameworks to derive actionable insights and support data-driven decision-making.

Data Science: Experienced in machine learning, deep learning, and statistical analysis with a strong focus on predictive modeling, feature engineering, and model evaluation. Proficient in Python, SQL, and R, and data science libraries such as TensorFlow, Scikit-learn, and PyTorch. Skilled in NLP, time series analysis, and clustering, with hands-on experience in anomaly detection and optimization.

Technical Skills:

• Programming: Python, SQL, R, Java, Scala, MongoDB, C++

• Data Tools: Apache Spark, Hadoop, Kafka, TensorFlow, XGBoost, Scikit-learn

• Big Data & ETL: Data warehousing, data lakes, data preprocessing, data governance

• Analytics & Visualization: Tableau, Power BI, Matplotlib, Seaborn, Plotly

• ML & AI: Machine Learning (Regression, Classification), Deep Learning, NLP, Computer Vision, Reinforcement Learning

• Cloud & DevOps: AWS, Azure, Docker, Kubernetes, Terraform, Git

Mathematics & Optimization: Deep understanding of linear algebra, calculus, probability, statistics, algorithms, and optimization techniques.

Additional Interests: Robotics, AI ethics, and emerging technologies in AI and ML.

With a well-rounded skill set, I bring the ability to design, develop, and deploy data-driven solutions that support scalable, secure, and impactful analytics for business growth.