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bikashg3/README.md

Bikash Gupta - AVP of Analytics and Data Engineering

Welcome to my GitHub profile! My name is Bikash Gupta, and I am an Assistant Vice President (AVP) specializing in Analytics and Data Engineering. As AVP of Data Analytics and Engineering at Damensch, a premier men’s apparel brand with strong online and offline presence, I lead data strategies across key divisions including marketing, product, catalog, finance, and supply chain. Utilizing expertise in omnichannel integration, retail analytics, and real-time data processing, I manage a talented team to deliver insights that drive sales, optimize inventory, and enhance financial performance. Key achievements include an 18% increase in online sales through optimized strategies focusing on inventory, supply chain, marketing ads across google, facebook, myntra, flipkart and amazon. Automated a lot of tasks across the organization to deliver optimal organizational efficiency. Dedicated to fostering cross-functional, data-driven growth and operational excellence.

πŸš€ Key Achievements

  • Leadership: Led a team of data professionals to deliver high-impact projects.
  • Innovation: Developed scalable data pipelines and automation tools.
  • Analytics Excellence: Created predictive models for demand forecasting and inventory optimization along with optimized ads across platforms.
  • Industry Experience: Worked at Damensch and Nykaa, driving data-centric solutions.

πŸ’Ό Professional Experience

AVP of Analytics and Data Engineering at Damensch

  • Leading a team of data engineers and analysts to develop and maintain data infrastructure.
  • Collaborating with cross-functional teams to integrate data-driven solutions.
  • Overseeing the implementation of data governance and security measures.

Analyst at Nykaa

  • Built an in-house ML model achieving 85% accuracy, saving INR 5M by optimizing inventory and reducing split shipments.
  • Designed a Tableau-based order-to-cash flow funnel, appreciated by CXOs for addressing omnichannel revenue leaks.
  • Developed anomaly detection software monitoring 250+ metrics with automated alerts for KPI deviations.
  • Implemented a price optimization algorithm increasing profits by 8% across 250 SKUs using price elasticity analysis.

πŸŽ“ Education

  • IIT Delhi: B.Tech & M.Tech in Chemical Engineering

🌟 Major Projects

Here are some of the major projects I have worked on:

  • [Demand Forecasting]: Developed predictive models to forecast product demand, improving inventory management and reducing stockouts.
  • [Supply & Inventory Optimization]: Implemented optimization algorithms to streamline supply chain operations and optimize inventory levels.
  • [Discount Optimization]: Created models to optimize discount strategies, maximizing revenue and customer satisfaction.
  • [Ads Optimization]): Automated ad campaigns across platforms like Facebook, Google, Myntra, Amazon, and Flipkart to increase ROI.
  • [Listing Fixes]: Developed tools to automate and optimize product listings, ensuring accuracy and visibility.

πŸ”§ Skills and Expertise

  • Data Engineering: Apache Spark, Hadoop, SQL, ETL, Data Warehousing
  • Analytics: Predictive Modeling, Statistical Analysis, Data Visualization
  • Programming: Python, R, SQL, Java
  • Automation: Task Automation, Web Scraping, Chrome Extensions
  • Tools: Tableau, Power BI, AWS, GCP, Azure

πŸ“« Contact Me

Feel free to reach out to me for collaboration or any queries:

Thank you for visiting my profile!

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  1. CLL788 CLL788 Public

    Process Data Analytics

    MATLAB 1

  2. data-science-ipython-notebooks data-science-ipython-notebooks Public

    Forked from donnemartin/data-science-ipython-notebooks

    Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…

    Python

  3. DCP DCP Public

    Daily Coding Problem

    Python

  4. Machine-Learning-Tutorials Machine-Learning-Tutorials Public

    Forked from ujjwalkarn/Machine-Learning-Tutorials

    machine learning and deep learning tutorials, articles and other resources