Akash Kandarkar

About Akash Kandarkar

I am a Data Engineer at ProducePay, where I work on data pipelines, data integrations,data warehousing and ETL. I completed master\'s degree in applied data science at Syracuse University School of Information Studies, where I was involved in various research and teaching activities. I was graduate teaching assistant for data management for business, a graduate student researcher at NEXIS student technology lab, and a welcome ambassador for international students. I had published a paper on mobile cloud computing in an international journal. My core competencies include data analysis, machine learning, cloud computing, SQL, R and Python. I am passionate about applying data science and machine learning to solve real-world problems, especially in the domains of healthcare, education, and social good. I am always eager to learn new skills, tools, and techniques, and to collaborate with other data enthusiasts. Skills: Programming: Python, R, SQL, Shell scripting, Java, J2EE, JavaScript Python Libraries : PySpark, Scikit-Learn, SciPy, Seaborn, Spacy, Matplotlib, Pandas, NumPy, Keras, NLTK (Natural Language Toolkit), Gensim, Plotly, Dash, OpenCV, Bokeh Data Visualization & BI: Teradata, MS SQL Server, Tableau, Amazon QuickSight, Amazon Redshift, Power-Bi, Looker Cloud & Data Tools: GCP, AWS, AWS Sagemaker, BigQuery, PySpark, Databricks, Airflow, Google Analytics, MLflow Techniques: Machine Learning, Predictive Modeling, Time Series Forecasting, Clustering & Customer Segmentation, Deep Learning, Natural Language Processing, MLOps, Data Modeling, Executive Presentations, Regression, Classification, A/B Testing Certifications: Data Science by IBM, AWS ML Specialty Course by Udemy, ML & Bigdata by Google Cloud in progress

Experience

1. Data Engineer

   Producepay

   Oct 2023 — Present · NJ, US

Education

• Savitribai Phule Pune University

  Bachelor of Engineering (B.E.), Computer Science, Graduated First Class with Distinction

  2012 — 2016

• Syracuse University School of Information Studies

  Master of Science - MS, Applied Data Science

  2021 — 2023