Vikash Chauradia

About Vikash Chauradia

Data Science Manager with 14+ years in IT, 7+ years in AI/ML, and 3 years focused on Generative AI & OpenAI. Proven expertise in leading data-driven solutions across e-commerce, finance, and real estate. I am skilled in predictive modeling, NLP, and time series forecasting. Strong history of mentoring teams, delivering business-impacting insights, and driving innovation in agile environments. Enthusiastic about leveraging advanced analytics to solve complex challenges and deliver measurable results My recent focus includes integrating GenAI and LLM-powered solutions into enterprise workflows, optimizing decision-making processes, and enabling next-gen automation. Skilled in building and leading high-performing data science teams, with a passion for innovation, continuous learning, and turning data into strategic assets. Tools & Platforms: Python | AWS (SageMaker, Glue, Lambda, S3, Athena), VS code, Google Cloud, Microsoft Azure, Oracle Database, SQL, BigQuery etc.

Experience

1. i & F Decision Sci Practitioner Associate Manager

   Accenture

   Dec 2022 — Present · IN

   Project 1: International Partner Experience (Coffee Chain)Objective: Enhance employee sentiment understanding across 3 regions, 11 countries, and 47 companies.Key Contributions:Analyzed ~68k multilingual employee reviews using NLP to identify themes like company culture, benefits, and work-life balance.Conducted salary and benefits analysis globally to inform HR strategies.Automated language detection and translation workflows to improve data processing efficiency.Deployed sentiment analysis using OpenAI LLMs, providing actionable insights for executive decisions.Impact:Provided insights to enhance employee satisfaction and HR policy alignment across regions.Supported data-driven discussions on salary and job benefits internationally.Project 2: Property Booking Cancellations & Customer Profile 360 (Real Estate)Objective: Forecast property booking cancellations and gain insights into customer profiles.Key Contributions:Enabled seamless BigQuery data retrieval and preprocessed data for predictive modeling.Developed an ML pipeline using XGBoost to predict cancellations, optimizing model performance.Collaborated cross-functionally to deliver a complete solution with documentation and training.Impact:Reduced revenue leakage by proactively managing cancellations and customer churn.Strengthened decision-making through predictive analytics and dashboards.Project 3: MIS Report Transformation & Property Sales Forecasting (Real Estate)Developed a customized chatbot with RAG, OpenAI, Langchain, and Streamlit to integrate with the MIS reporting tool, streamlining data access.Used SARIMAX to forecast property prices at a granular level (e.g, area, type, bedrooms), enabling accurate sales predictions.Tools & Techniques:Gen AI, OpenAI, LLM, RAG, ChatGPT-3.5, Langchain, Python, Jupyter Notebook, XGBoost, SVM, NLP, PowerBI, Streamlit, Flask, Google Cloud, BigQuery, DeepL, SARIMAX, Forecasting

Education

• College of Engineering & Technology,Bikaner

  Master of Computer Applications (M.C.A.), Computer Science

  2007 — 2010

• J.R.N.Rajasthan Vidyapeeth University

  Bachelor of Computer Application; BCA, Computer Science

  2004 — 2007

• Board of Secondary Education

  Sr. Secondary, E-Commerce/Electronic Commerce

  2002 — 2004

• J R N Rajasthan Vidyapeeth University

  Bachelor of Computer Applications

• Rajasthan Technical University, Kota

  Master of Computer Applications

• Board of Secondary Education

  matriculation, Business/Commerce, General

  2000 — 2001