Data Scientist

Professional Summary

Data Science leader with 12+ years of experience driving impactful insights and solutions across diverse industries. Proven expertise in building and deploying AI models, data pipelines, and real-time analytics platforms to optimize operations, boost ROI, and empower decision-making. Adept at leveraging cutting-edge technologies like Generative AI, Spark, and NLP to tackle complex challenges in HR, e-commerce, and automotive sectors. Passionate about mentoring and knowledge sharing, fostering a collaborative environment for data-driven success.

Skills

• Programming Languages: Python, MATLAB, C, C#.Net
• Databases: SQL, Google BigQuery
• Frameworks: PySpark, Scikit-Learn, Pytorch, Tensorflow
• Cloud: Microsoft Azure, Google Cloud Platform (GCP)

Experience

Ernst & Young, Gurgaon (Sep 2022 - Present)

• Streamlined HR data analysis by architecting and implementing Azure-based setup and Databricks pipelines, creating an end-to-end automated framework for data-driven decision making. [Demo]
• Utilized Generative AI (GenAI) to tackle complex HR challenges, such as efficiently generating graphs and visualizations for deeper understanding of workforce trends.
• Mentored colleagues on Apache Spark and other relevant tech stacks, empowering them to unlock the potential of data analytics for HR initiatives.

Publicis Sapient, Bengaluru (Jul 2018 - Sep 2022)

• Spearheaded the development of a Spark-powered processing engine for e-commerce data, delivering real-time insights to empower marketers. Implemented cutting-edge image and NLP algorithms to extract critical business metrics.
• Developed an ensemble model with Fbprophet and BQML that boosted booking accuracy by 20%. Deep-dived into COVID’s impact on reservations, providing actionable insights for strategic decision-making. Demo
• Pioneered a Django-based voice assistant system that offered seamless control over news, music, and food orders. Leveraged Dialogflow and other APIs to understand user intent and deliver personalized experiences.
• Maximized marketing ROI by 20% with AI-powered revenue prediction model, optimizing channel allocation based on key performance drivers.
• Utilized computer vision to extract hidden insights from ad creatives, uncovering hidden performance drivers and developing a machine learning model that offered actionable recommendations, maximizing ad campaign effectiveness.

Tata Consultancy Services, Pune (Oct 2011 - Jul 2018)

• Developed and implemented a deep learning-based model using Python and NLTK to categorize user narratives with high accuracy, improving user experience and streamlining operations.
• Leveraged collaborative filtering in Python to recommend triggers for an automotive tool, significantly increasing user efficiency and tool throughput.
• Built a Python-based model that predicts failure time and responsible component using telemetry data, empowering proactive maintenance and cost savings. Additionally, created interactive visualizations with Tableau for clear communication to stakeholders.
• Designed and implemented a MapReduce algorithm in MATLAB to extract and integrate vehicle data from various file formats with DotNet and SQL, achieving a 95% optimization in processing speed. Received Six Sigma Yellow belt certification for the idea.

Education

• M.Tech (VLSI and Embedded systems) from Pune University, India (2014-2016)
• B.Tech (Electronics and TeleCommunication) from Bharati Vidyapeeth University, Pune, India (2007-2011)
• Diploma in Network Security, Bharati Vidyapeeth University (2007)

Certifications

• Generative AI with Large Language Models @Coursera (2024)
• SafeAgilist 5 Certification(2021)
• Apache Spark 3 - Spark Programming in Python @Udemy (2021)
• Apache Airflow, A Real-Time & Hands-on Course on Airflow @Udemy (2020)
• Deep Learning with TensorFlow @Coursera (2019)

Honors and Activities

• Awarded ”Star of the Sprint” for successful delivery and optimizations in 2022.
• Howathon-Runners up in 2020 for developing a voice assistant.
• Expo-Runners up in 2019 for presenting data-driven advertisement using Google Cloud Vision API and ML.

Publications

• “Texture Feature Extraction Methods and Wavelet Standpoint” (International Journal of Innovative Research in Computer and Communication Engineering, 2016)
• “Segmentation based feature extraction of MRI images using Wavelet and its implementation on FPGA” (2016)

Teaching and Mentoring

• Conducted Statistics and Analytics training at Publicis Sapient, GURGAON in 2020.
• Conducted Xilinx Vivado Workshop at DY Patil College of Engg, PUNE in 2016.

Contact

• LinkedIn: Binay Chandra - LinkedIn
• Email: binaychandra90@gmail.com
• Phone: +(91) 727 640 9096

References

• Sumil Mehta
  • Sr. Marketing Specialist, FRACTAL.AI
  • Email: sumilmehta007@gmail.com
  • Phone: +(91) 801 008 0189
• Ashish Yadav
  • Full Stack Developer, WELLS FARGO
  • Email: ashishkumar150190@gmail.com
  • Phone: +(91) 784 214 1835

Feel free to reach out for any collaboration or inquiries!