Apr 2022 – May 2024 · 2 yrs 1 mo · New Delhi, Delhi, India

• Utilized PySpark, the Python API for Apache Spark, to develop scalable and distributed data processing solutions for big data analytics.

Mar 2021 – Mar 2022 · 1 yr · Noida, Uttar Pradesh, India

• Developed automated data extraction pipelines and workflows, integrating regular expressions into ETL (Extract, Transform, Load) processes and data integration systems. Developed and implemented interactive and visually appealing Power BI dashboards and reports for sales and medical data analysis.

Nov 2020 – Feb 2021 · 3 mos

Jul 2019 – Nov 2020 · 1 yr 4 mos

• Developed and deployed robust image classification and object detection models using state-of-the-art Convolutional Neural Networks (CNNs) for various applications. Designed and implemented CNN architectures, including popular models such as ResNet, VGG, and Inception, to achieve high accuracy and performance in image recognition tasks.

Jul 2019 – Jul 2019 · 0 mo · Noida, Uttar Pradesh, India

• Developed and implemented a state-of-the-art fraud detection system using transfer learning techniques for banking data. Leveraged pre-trained deep learning models to extract relevant features and patterns from large-scale transaction datasets. Designed and optimized machine learning pipelines to preprocess and prepare data for analysis, including feature engineering, outlier detection, and dimensionality reduction techniques.

Dec 2018 – Jun 2019 · 6 mos · New Delhi Area, India

• Developed and optimized state-of-the-art voice recognition systems, leveraging machine learning and deep learning techniques to achieve high accuracy and robustness. Designed and implemented acoustic models using large-scale speech datasets, incorporating techniques such as transfer learning, data augmentation, and model adaptation for improved recognition performance.