Anish Chandak

Project: Creator Life Value

Role: Data Scientist

• Generated synthetic data for data analysis using 1st & 3rd party provided data dictionaries.
• Collaborate with onshore SMEs to formulate creator value score hypotheses using statistical techniques.
• Pre-processed the raw data and populated monetization potential value based on formulated hypothesis.

Technology: Python, MS Excel, Pandas, NumPy, VS Code, Jupyter Notebook, AWS SageMaker

Project: Disney's Personalization Acceleration

Role: Data Scientist

• Performed Exploratory data analysis to understand the raw data.
• Created image embeddings using multiple open-source models.
• Performed image clustering using K-Means Algorithm for image content segmentation.
• Built custom scripts to enrich metadata and subtitles catalog.

Technology: Python, Pandas, Matplotlib, Seaborn, Tensorflow, NumPy, VS Code, Jupyter Notebook, AWS, GCP.

Project: Delivery Copilot

Role: AI Engineer

• Developed user stories generation application to ease developers work using OpenAI APIs and LangChain in RAG framework.
• Built Rest APIs for the same and reduced OpenAI's response time by 60% using parallel processing.
• Fine-tuned the responses using prompt engineering & NLP Techniques.

Technology: Python, Flask, LangChain, boto3, AWS S3, OpenAI Services.

Project: Expedaite

Role: AI Engineer

• Develop Generative AI functionalities for the existing application in Agent's RAG approach.
• Built Rest APIs using FastAPI library in asynchronous manner.
• Integrated the backend with frontend & hosted them on AWS.

Technology: Python, AWS, FastAPI, LangChain, Unvicorn, Vector Databases

Project: AI GM_DLV

Role: AI/ML Engineer

• Developed three generative AI use cases for India's largest Oil Refinement Company.
• Integrated the use cases with frontend using Flask framework.
• Fine-tuned the results using prompt engineering and image processing techniques.

Technology: Python, Flask framework, Postman, LangChain, OpenAI Services.

Project: AD-Kinaxis

Role: Data Analyst

• Managed python developer's team for data analysis & validations for client's three different landscapes.
• Optimized data processing capacity by 133% which allowed the project to handle 7 countries migration activities instead of 3 countries.
• Enhanced team productivity by streamlining workflow processes and implementing time-saving strategies.
• Collaborated with cross-functional teams to identify areas of improvement, leading to increased operational effectiveness.
• Analyzed data to identify root causes of problems and recommend corrective actions.
• Generated ad-hoc reports to evaluate specific business requirements.
• Leveraged machine learning techniques to develop proof of concept solutions to the client.

Technology: Python, VS Code, Streamlit framework, MS Excel, SAP (MM, APO, ECC, HANA), Kinaxis Rapid Response, Machine learning.