Bhavay Mittal

Data Scientist

Delhi, India2 yrs experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Developed AI-driven solutions improving onboarding efficiency by 30-40%.
  • Integrated advanced AI tools for enhanced pattern recognition.
  • Created accurate salary prediction and sentiment analysis systems.
Stackforce AI infers this person is a Data Science and AI professional with expertise in SaaS solutions.

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Skills

Core Skills

Data ScienceMachine LearningArtificial IntelligenceNatural Language Processing

Other Skills

AI Platform PipelinesAd Hoc AnalysisAmazon Web Services (AWS)Analytical SkillsAttention to DetailBankingBig DataBusiness Intelligence (BI)ClassificationCloud StorageContingency PlanningConvolutional Neural Networks (CNN)Data AnalysisData AnalyticsData Engineering

About

I am a Data Scientist with a strong foundation in computer science and a proven track record of developing and deploying AI-driven solutions. My experience includes developing a Llama 2 LLM-powered chatbot on Google Cloud Platform (GCP) at Adobe, utilizing Vertex AI, Cloud Storage, and AI Platform Pipelines for scalable model training and deployment. At Clothwari Pvt Ltd, I integrated OpenAI's GPT-4, BERT, and Google Vertex AI to enhance NLP-based pattern recognition and automate workflows. My technical skills encompass: * Programming Languages: SQL, JAVA, PySpark, Python, Statistics, Regression * Libraries/Frameworks: Langchain, Tensorflow, RAG, NLP, Pytorch, Power BI, Random Forest * Tools/Platforms: Git, Docker, Airflow, Vertex AI, AWS, GCP * Databases: SQL, Teradata, MongoDB * Other: Flask, Rest API, YOLO, CNN, OpenCV I am passionate about leveraging data to drive innovation and efficiency, as demonstrated by projects like developing a real-time object detection system using YOLOv5 and CNNs, and creating a time-series forecasting model for retail inventory using LSTM, ARIMA, and SARIMA. I hold a Bachelor's degree in Computer Science from DSEU and am committed to continuous learning, with certifications in Full Stack Data Science with Generative AI and Python Full Stack Development.

Experience

2 yrs
Total Experience
1 yr
Average Tenure
1 yr 7 mos
Current Experience

Adobe

Data Scientist

Nov 2024Present · 1 yr 7 mos · Noida, Uttar Pradesh, India · On-site

  • Developed and deployed a Llama 2 (7B, upgraded to 3.1) LLM-powered chatbot on Google Cloud
  • Platform (GCP), utilizing Vertex AI, Cloud Storage, and AI Platform Pipelines for scalable model
  • training, deployment, and vector-based similarity search on Adobe onboarding data (Excel, PDFs).
  • 2. Fine-tuned the LLM using Python (Transformers, PyTorch), optimizing hyperparameters to enhance
  • model performance, increasing onboarding team efficiency by 30-40% for information retrieval.
  • 3. Designed and launched a Flask-based web application, integrating PostgreSQL and a custom vector
  • database, enabling real-time user interaction by reducing manual queries by streamlining key
  • information.
  • 4. Automated ETL pipelines and embedding generation using SQL, Python (Pandas, NumPy), and
  • Vertex AI Pipelines, improving data ingestion, vector indexing, and inference efficiency.
Vertex AICloud StorageAI Platform PipelinesPythonFlaskSQL+4

Clothwari printing private limited

AI Engineer

Apr 2024Sep 2024 · 5 mos · Delhi, Delhi, India · On-site

  • Integrated AI tools like OpenAI's GPT-4 and Google Vertex AI to enhance pattern recognition and
  • system functionality.
  • Applied advanced AI techniques for improved system robustness, utilizing machine learning and NLP
  • models.
  • Enhanced system performance through API integration with Flask and Python, ensuring scalability and
  • reliability.
  • Optimized algorithms using AI solutions, including OpenAI Codex and Vertex AI, to boost pattern
  • recognition eciency.
OpenAI's GPT-4Google Vertex AIFlaskPythonArtificial IntelligenceNatural Language Processing

Mentorness recruitment service

Machine Learning Engineer

Oct 2023Jan 2024 · 3 mos

  • Developed Salary Predictor System: Used Python and scikit-learn for model creation, feature
  • engineering, and validation, achieving high accuracy.
  • Conducted Sentiment Analysis: Applied NLP techniques with NLTK and TensorFlow, preprocessing
  • text data and building neural networks to classify sentiments accurately.
Pythonscikit-learnNLTKTensorFlowMachine LearningNatural Language Processing

Education

Vellore Institute of Technology

Master of Science - MS — Data Science

Aug 2025Jul 2027

DSEU

Bachelor of Science - BS — Data Analytics

Aug 2021Jul 2024

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